Home
Search results “Recent research topics in data mining”
15 Hot Trending PHD Research Topics in Data Mining 2018
 
01:21
15 Hot Trending Data Mining Research Topics 2018 1. Medical Data Mining 2. Education Data Mining 3. Data Mining with Cloud Computing 4. Efficiency of Data Mining Algorithms 5. Signal Processing 6. Social Media Analytics 7. Data Mining in Medical Science 8. Government Domain 9. Financial Data Analysis 10. Financial Accounting Fraud Detection 11. Customer Analysis 12. Financial Growth Analysis using Data Mining 13. Data Mining and IOT 14. Data Mining for Counter-Terrorism Key Research Application Fields: • Crisp-DM • Oracle Data mining • Web Mining • Open NN • Data Warehousing • Text Mining WHY YOU NEED TO OUTSOURCE TO PhD Assistance: a) Unlimited revisions b) 24/7 Admin Support c) Plagiarism Generate d) Best Possible Turnaround time e) Access to High qualified technical coordinators and expertise f) Support: Skype, Live Chat, Phone, Email Contact us: India: +91 8754446690 UK: +44-1143520021 Email: [email protected] Visit Webpage: https://goo.gl/HwJgqQ Visit Website: http://www.phdassistance.com
Views: 5595 PhD Assistance
PHD RESEARCH TOPIC IN DATA MINING
 
02:11
Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-research-topic-mobile-networking/
Views: 4807 PHD Projects
Data Mining as a healthcare research tool (Analytics Techniques Listed Below)
 
11:02
Here are some additional techniques for data mining: 1. Decision Tree Analysis: https://www.youtube.com/watch?v=bJC5S_ViRCo 2. Text mining in Twitter: https://www.youtube.com/watch?v=I0VCGCnquTQ
Get latest data mining Thesis Topics for master and phd
 
00:36
Get latest data mining thesis topics for master and phd in e2matrix . if you want proper guidance and thesis topics and projects and topics so you can contact to e2matrix . we are provides you proper guidance about your work . so you can't delay and do fast contact to e2matrix . call now : + 91 9041262727, e-mail: [email protected] Just click in the following link and Read more about cloud computing thesis topics http://www.e2matrix.com/blog/2018/07/04/data-mining-research-guidance-and-thesis-topics/ Thanks & Regards E2Matrix http://www.e2matrix.com/ Follow us on Social Media https://www.facebook.com/E2MatrixTrainingAndResearchInstitute/?ref=settings https://twitter.com/e2matrix_lab https://www.instagram.com/e2matrixresearch/
Views: 165 THESIS HELPS
Data Mining in the Medical Field
 
05:56
Video about data mining in the medical field. Made by Aditya Jariwala, Alex Truitt, Tongfei Zhang, and Yishi Xu for Purdue COM 21700 final project, Spring 2017.
Views: 4046 Aditya Jariwala
Get latest data mining Thesis Topics-+91-9041262727
 
00:46
Get latest data mining Thesis Topics from e2matrix. Our experts have 4 to 5 year experience in data mining thesis topics. if you want achieve your research results on time without any delay , then e2matrix provides you full guidance related to your work from the selection of paper to documentation. All kind of helps is offer from our sides at each phase of your work. Feel free to talk to our experts over a phone call at :+91 9041262727 or email us at : [email protected] . Just click in the following link and Read more about data mining thesis topic http://www.e2matrix.com/blog/2018/07/04/data-mining-research-guidance-and-thesis-topics/ Thanks & Regards E2Matrix http://www.e2matrix.com/ Follow us on Social Media https://www.facebook.com/E2MatrixTrainingAndResearchInstitute/?ref=settings https://twitter.com/e2matrix_lab https://www.instagram.com/e2matrixresearch/ https://www.linkedin.com/company/e2matrix-research-lab/
Views: 99 THESIS HELPS
2018 IEEE Transaction Paper on Data Mining: Easy Paper to implement set 1
 
05:03
Paper 1: Data-Pattern Enabled Self-Recovery Low-Power Storage System for Big Video Data. Paper 2: Online Signature Verification Based on Stable Features Extracted Dynamically. Paper 3: Contextual Exemplar Classifier Based Image Representation for Classification. Paper 4: ESIM: Edge Similarity for Screen Content Image Quality Assessment. Paper 5: Depth-Projection-Map-Based Bag of Contour Fragments for Robust Hand Gesture Recognition. Paper 6: Image Class Prediction By Joint Object, Context and Background Modeling. Paper 7: Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks. Paper 8: Face Anti-Spoofing using Speeded-Up Robust Features and Fisher Vector Encoding. Paper 9: Context-Aware Local Binary Feature Learning for Face Recognition. Paper 10: Data-Dependent Label Distribution Learning for Age Estimation. Paper 11:Data-Dependent Label Distribution Learning for Age Estimation. Paper 12: Fog Density Estimation and Image Defogging Based on Surrogate Modeling for Optical Depth. Paper 13: Neuron Segmentation with High-Level Biological Priors. Paper 14: Learning Correspondence Structures for Person Re-identification. Paper 15: Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition. Paper 16: Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition based on Hierarchical MRFs. Paper 17: Deep Representation based feature extraction and recovering for Finger-vein verification. Paper 18: Fast Image Dehazing Method Based on Linear Transformation. Paper 19: Detecting morphological filtering of binary images. Paper 20: Neighborhood Matching For Image Retrieval.
Views: 826 Ashwini Cly
Current trends in Data Mining..
 
09:29
Topic described here are: Multimedia datamining Ubiquitous datamining Distributed datamining Spatial datamining Time series datamining Text mining Video mining Image mining Audio mining multimedia issues Submitted by: A. Vaishnavi II Msc cs A 175214141
Views: 593 vaishu raj
Get Latest Data Mining Thesis Topics -9041262727
 
00:50
Get latest data mining thesis topics for m.tech and phd students . we are provides thesis projects, topics and writing papers . if you want thesis projects so you can contact to our experts . we are provides you proper guidance with projects . call our experts on this no : +91 9041262727 , e-mail: [email protected] , Just click in the following link and Read more about cloud computing thesis topics https://www.linkedin.com/pulse/data-mining-thesis-topics-list-91-90412-62727-e2matrix-research Thanks & Regards E2Matrix http://www.e2matrix.com/ Follow us on Social Media https://www.facebook.com/E2MatrixTrainingAndResearchInstitute/?ref=settings https://twitter.com/e2matrix_lab https://www.instagram.com/e2matrixresearch/ https://www.linkedin.com/company/e2matrix-research-lab/
Views: 41 THESIS HELPS
#Data: 7 hot topics for 2018 - 5. Data Science
 
00:47
The year 2018 looks promising, more than ever driven by Data. What are specifically the trends and topics to track? Fifth topic: "Data Science ". Watch here!
Views: 823 Business & Decision
Five machine learning research topics at Oxford CS
 
57:07
This talk will present an overview of my research. I would like to use this talk and visit to identify problems of mutual interest to MSR UK researchers and my new team at Oxford CS. The talk will cover the following five topics: (i) Bayesian optimization and bandits for automatic machine learning, analytics, personalization, control and algorithm configuration. (ii) Deterministic Gibbs samplers and de-randomization. (iii) From exponential to linear complexity when learning some practical MRFs. (iv) Bayesian deep learning. (v) Theoretical analysis of batch and online random forests, and the development of new ensembles.
Views: 4825 Microsoft Research
Research in 3 Minutes: Text and Data Mining
 
03:20
Keep up to date on the latest topics in research support in less time than it takes to make a cup of coffee. In this video we look at text and data mining (TDM) which allows researchers to electronically explore previously hidden connections in large volumes of material.
Views: 14 Claire Sewell
Projects in Data Mining Topics | Thesis in Data Mining Topics | Code Projects in Data Mining Topics
 
02:07
Contact Best Matlab Projects Visit us: https://matlabprojects.org/
Views: 37 Matlab Projects
Data Mining Projects 2016-2017 | ieee data mining papers 2016
 
00:55
ieee data mining papers 2016 for ME,M.Tech.,M.Phil., Ph.D., B.E, B.Tech., MCA A Novel Recommendation Model Regularized with User Trust and Item Ratings Automatically Mining Facets for Queries from Their Search Results Booster in High Dimensional Data Classification Building an intrusion detection system using a filter-based feature selection algorithm Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings Crowdsourcing for Top-K Query Processing over Uncertain Data Cyberbullying Detection based on Semantic-Enhanced Marginalized Denoising Auto-Encoder Domain-Sensitive Recommendation with User-Item Subgroup Analysis Efficient Algorithms for Mining Top-K High Utility Itemsets Efficient Cache-Supported Path Planning on Roads Mining User-Aware Rare Sequential Topic Patterns in Document Streams Nearest Keyword Set Search in Multi-Dimensional Datasets Rating Prediction based on Social Sentiment from Textual Reviews Location Aware Keyword Query Suggestion Based on Document Proximity Using Hashtag Graph-based Topic Model to Connect Semantically-related Words without Co-occurrence in Microblogs Quantifying Political Leaning from Tweets, Retweets, and Retweeters Relevance Feedback Algorithms Inspired By Quantum Detection Sentiment Embeddings with Applications to Sentiment Analysis Top-Down XML Keyword Query Processing TopicSketch: Real-time Bursty Topic Detection from Twitter Top-k Dominating Queries on Incomplete Data Understanding Short Texts through Semantic Enrichment and Hashing To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: www.jpinfotech.org, Blog: www.jpinfotech.blogspot.com
Views: 2626 JPINFOTECH PROJECTS
Project topics on data mining
 
03:45
Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-3-months/
Views: 1470 PHD Projects
PhD in data mining- Talaash Research Consultants
 
00:31
Talaash Research Consultants was established in the year 2010, with the purpose of offering consultation services to research scholars and guiding them towards successful completion of their research work. Talaash Research Consultants owns the pride of being the WORLD’S FIRST RESEARCH CONSULTANCY PURELY RUN BY WOMEN. Talaash Research Consultants has a team of female professionals with expertise in engineering, arts and management disciplines, thereby catering the needs of all the research scholars irrespective of the discipline to which they belong. With more than 5000+ satisfied clients from all over the world, Talaash continues to be a pioneer in terms of offering educational consultation services to the society at affordable prices. Talaash Research Consultants offer end to end services to research scholars in terms of doing their research work thereby being a ONE STOP SOLUTION FOR ALL PhD RELATED REQUIREMENTS. Talaash Research Consultants has the ability to offer consultation services to clients irrespective of their academic discipline because it has a huge number of committed and dedicated expert in various academic disciplines working in-house
Views: 7 Talaash Admin
mining text data projects
 
08:38
Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-guidance/ http://www.phdprojects.org/phd-help/ http://www.phdprojects.org/phd-projects-uk/ http://www.phdprojects.org/phd-assistance-bangalore/ http://www.phdprojects.org/phd-assistance/ http://www.phdprojects.org/phd-3-months/ http://www.phdprojects.org/phd-dessetation-help/ http://www.phdprojects.org/phd-projects-computer-networking/ http://www.phdprojects.org/computer-science-thesis-topics-undergraduates/ http://www.phdprojects.org/phd-projects-australia/ http://www.phdprojects.org/phd-company/ http://www.phdprojects.org/phd-thesis-structure/ http://www.phdprojects.org/phd-guidance-help/ http://www.phdprojects.org/networking-projects-phd/ http://www.phdprojects.org/thesis-topics-computer-science-students/ http://www.phdprojects.org/buy-thesis-paper/ http://www.phdprojects.org/research-paper-sale/ http://www.phdprojects.org/cheap-paper-writing-service/ http://www.phdprojects.org/research-paper-assistance/ http://www.phdprojects.org/thesis-builder/ http://www.phdprojects.org/writing-journal-article-12-weeks/ http://www.phdprojects.org/write-my-paper-for-me/ http://www.phdprojects.org/phd-paper-writing-service/ http://www.phdprojects.org/thesis-maker/ http://www.phdprojects.org/thesis-helper/ http://www.phdprojects.org/thesis-writing-help/ http://www.phdprojects.org/dissertation-help-uk/ http://www.phdprojects.org/dissertation-writers-uk/ http://www.phdprojects.org/buy-dissertation-online/ http://www.phdprojects.org/phd-thesis-writing-services/ http://www.phdprojects.org/dissertation-writing-services-uk/ http://www.phdprojects.org/dissertation-writing-help/ http://www.phdprojects.org/phd-projects-in-computer-science/ http://www.phdprojects.org/dissertation-assistance/
Views: 80 PHD Projects
List of Thesis and Research Topics in Computer Science for M.Tech and PhD
 
00:47
Computer Science Computer Science is a very wide field with number of sub topics under it. We are going to present a list of latest topics in computer science(CSE) which you can choose for your project, thesis, and research. Have a look at the topics. Here is the list of trending areas for thesis and research for M.Tech and PhD: ● Data Warehousing ● Internet Of Things(IOT) ● Big Data ● Cloud Computing ● Semantic Web ● MANET ● Machine Learning For More Information Visit us : Address - Techsparks, 2nd floor, D- 185, Phase 8B, Industrial Area, Sahibzada Ajit Singh Nagar, Mohali, Punjab 160055 Mobile No. - +91-7696666022 Email Id - [email protected] Website Link - https://www.techsparks.co.in
Views: 10912 Techsparks
Project Topics on Data Mining | Thesis Topics on Data Mining | Code Project Topics on Data Mining
 
02:19
Contact Best Matlab Projects Visit us: https://matlabprojects.org/
Views: 160 Matlab Projects
Data Mining Research Topics | Data Mining Research Project Topics
 
02:40
Contact Best Matlab Simulations Projects http://matlabsimulations.com/
Algorithmic Bias: From Discrimination Discovery to Fairness-Aware Data Mining (Part 3)
 
01:21:53
Authors: Carlos Castillo, EURECAT, Technology Centre of Catalonia Francesco Bonchi, ISI Foundation Abstract: Algorithms and decision making based on Big Data have become pervasive in all aspects of our daily lives lives (offline and online), as they have become essential tools in personal finance, health care, hiring, housing, education, and policies. It is therefore of societal and ethical importance to ask whether these algorithms can be discriminative on grounds such as gender, ethnicity, or health status. It turns out that the answer is positive: for instance, recent studies in the context of online advertising show that ads for high-income jobs are presented to men much more often than to women [Datta et al., 2015]; and ads for arrest records are significantly more likely to show up on searches for distinctively black names [Sweeney, 2013]. This algorithmic bias exists even when there is no discrimination intention in the developer of the algorithm. Sometimes it may be inherent to the data sources used (software making decisions based on data can reflect, or even amplify, the results of historical discrimination), but even when the sensitive attributes have been suppressed from the input, a well trained machine learning algorithm may still discriminate on the basis of such sensitive attributes because of correlations existing in the data. These considerations call for the development of data mining systems which are discrimination-conscious by-design. This is a novel and challenging research area for the data mining community. The aim of this tutorial is to survey algorithmic bias, presenting its most common variants, with an emphasis on the algorithmic techniques and key ideas developed to derive efficient solutions. The tutorial covers two main complementary approaches: algorithms for discrimination discovery and discrimination prevention by means of fairness-aware data mining. We conclude by summarizing promising paths for future research. More on http://www.kdd.org/kdd2016/ KDD2016 conference is published on http://videolectures.net/
Views: 709 KDD2016 video
Data Mining Project Topics Ieee | Data Mining Thesis Topics Ieee
 
02:44
Contact Best Matlab Simulation Projects Visit us: http://matlabsimulation.com/
Views: 31 matlab simulation
Project Topics Related Data Mining | Thesis Topics Related Data Mining
 
01:46
Contact Best Matlab Projects Visit us: https://matlabprojects.org/
Views: 67 Matlab Projects
Big Data and Challenges for Research and Research Funding
 
41:06
Volker Markl, Chair, Database Systems and Information Management, University of Berlin (TU) Keynote at the Herrenhausen Conference "Big Data in a Transdisciplinary Perspective", 27.03.2015 VOLKER MARKL is a Full Professor and Chair of the Database Systems and Information Man¬agement (DIMA) group at the Technische Universität Berlin (TU Berlin) as well as an adjunct status-only professor at the University of Toronto. Earlier in his career, he lead a research group at FORWISS, the Bavarian Research Center for Knowledge-based Systems in Munich, and was a Research Staff member & Project Leader at the IBM Almaden Research Center in San Jose, California, USA. He has published numerous research papers on indexing, query optimization, lightweight information integration, and scalable data processing. He holdsseven patents, has transferred technology into several commercial products, and advises several companies and startups. He has been speaker and princi-pal investigator of the Stratosphere research project that resulted in the “ApacheFlink” big data analytics system. He was recently elected as one of Germany’s leading “digital minds” (Digitale Köpfe) by the German Informatics Society. Photo: Mirko Krenzel for Volkswagen Foundation ScienceUncut - Science Podcast by Volkswagen Foundation
Views: 1035 VolkswagenStiftung
PhD research topic in Cryptography
 
01:33
Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-research-topic-data-mining/
Views: 776 PHD Projects
Java in production for Data Mining Research projects (JavaDayKiev'15)
 
51:01
Alexey Zinoviev presented this paper on the JavaDayKiev'15 conference Slides: http://www.slideshare.net/zaleslaw/javadaykiev15-java-in-production-for-data-mining-research-projects This paper covers next topics: Data Mining, Machine Learning, Hadoop, Spark, MLlib
Views: 329 Alexey Zinoviev
Data Mining Project Ideas for Students | Data Mining Thesis Ideas for Students
 
02:06
Contact Best Matlab Code Projects Visit us: http://matlab-code.org/
Views: 500 MATLAB PROJECTS
PhD research topic in big data
 
01:41
Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/network-security-research-topics/
Views: 6292 PHD Projects
Projects in Data Mining | Thesis in Data Mining | Code Projects in Data Mining
 
03:25
Contact Best Matlab Projects Visit us: https://matlabprojects.org/
Views: 16 Matlab Projects
Sociology 3302 Data Mining
 
05:06
By: Megan Crevar. Michael Huang, Mark Luke, Rion Tipton We own no rights to any video content sampled in this video. Video footage is used purely for educational purposes.
Views: 54 Michael Huang
AI DataMining
 
03:20
Getting insights through conversation
Views: 2 David Bissainthe
PhD research topic in Image Mining
 
01:27
Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-research-topic-mobile-cloud-computing/
Views: 911 PHD Projects
IEEE DATAMINING TOPICS - FINAL YEAR IEEE COMPUTER SCIENCE PROJECTS
 
02:48
TSYS Center for Research and Development (TCRD) is a premier center for academic and industrial research needs. We at TRCD provide complete support for final year Post graduate Student (M.E / M.Tech / M. Sc/ MCA/ M-phil) who are doing course in computer science and Information technology to do their final year project and journal work. For Latest IEEE DATA MINING Projects Contact: TSYS Center for Research and Development (TSYS Academic Projects) Ph.No: 9841103123 / 044-42607879, Visit us: http://www.tsys.co.in/ Email: [email protected] IEEE TRANSACTION ON KNOWLEDGE AND DATA ENGINEERING 2016 TOPICS 1. A Simple Message-Optimal Algorithm for Random Sampling from a Distributed Stream 2. Online Learning from Trapezoidal Data Streams 3. Quality-Aware Subgraph Matching Over Inconsistent Probabilistic Graph Databases 4. CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites 5. Online Subgraph Skyline Analysis over Knowledge Graphs 6. K Nearest Neighbour Joins for Big Data on MapReduce: a Theoretical and Experimental Analysis 7. ATD: Anomalous Topic Discovery in High Dimensional Discrete Data 8. Multilabel Classification via Co-evolutionary Multilabel Hypernetwork 9. Learning to Find Topic Experts in Twitter via Different Relations 10. Analytic Queries over Geospatial Time-Series Data Using Distributed Hash Tables 11. RSkNN: kNN Search on Road Networks by Incorporating Social Influence 12. Unsupervised Visual Hashing with Semantic Assistant for Content-based Image Retrieval 13. A Scalable Data Chunk Similarity based Compression Approach for Efficient Big Sensing Data Processing on Cloud 14. Network Motif Discovery: A GPU Approach 15. Crowdsourced Data Management: A Survey 16. Resolving Multi-Party Privacy Conflicts in Social Media 17. Improving Construction of Conditional Probability Tables for Ranked Nodes in Bayesian Networks 18. Clearing Contamination in Large Networks 19. Private Over-threshold Aggregation Protocols over Distributed Databases 20. Challenges in Data Crowdsourcing 21. Efficient R-Tree Based Indexing Scheme for Server-Centric Cloud Storage System
Views: 1007 Tsys Globalsolutions
Data mining Projects | Latest Data Mining Projects
 
01:31
Data mining Projects for Engineering Students. We assist Research Scholars in implementing data mining projects with source code. Cybernetics Projects concentrates on security systems. https://academiccollegeprojects.com/cse-projects/data-mining-projects/
Data Mining Related Project Topics | Data Mining Related Thesis Topics
 
05:34
Contact Best Matlab Simulation Projects Visit us: http://matlabsimulation.com/
Views: 23 matlab simulation
THESIS TOPICS FOR COMPUTER SCIENCE STUDENTS
 
01:53
Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/research-paper-sale/
Views: 29835 PHD Projects
Data mining projects for students
 
03:44
Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-help/
Views: 814 PHD Projects
Top 10 Trends In Data Science | Eduonix
 
11:30
Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured, similar to data mining. Data Science is spreading its roots gradually and becoming a hot topic of discussion everywhere. We have made a detailed video, which will tell you about all the recent trends which are going around in Data Science and if you're planning to choose your career in DS you will get a clearer idea about your path. We hope you like this video. The top trends mentioned in the video are: 1. Internet of Things (IoT) 2. Artificial Intelligence 3. Augmented Reality 4. Hyper Personalisation 5. Graph Analytics 6. Machine Intelligence 7. Agile Data Science 8. Behavioral Analytics 9. Journey Sciences 10. The Experience Economy Don't forget to check our new project on Data Science Foundational Program on Kickstarter. This program incorporates everything from beginner-level concepts to real-world implementation along with 4 courses, 2 e-books, Interview preparation guide, multiple labs, numerous practice tests and much more. Read more - https://kck.st/2CuIkay Thank you for watching! We’d love to know your thoughts in the comments section below. Also, don’t forget to hit the ‘like’ button and ‘subscribe’ to ‘Eduonix Learning Solutions’ for regular updates. https://goo.gl/BCmVLG Follow Eduonix on other social networks: ■ Facebook: https://goo.gl/ZqRVjS ■ Twitter: https://goo.gl/oRDaji ■ Google+: https://goo.gl/mfPaxx ■ Instagram: https://goo.gl/7f5DUC | @eduonix ■ Linkedin: https://goo.gl/9LLmmJ ■ Pinterest: https://goo.gl/PczPjp
Educational Data Mining: Predict the Future, Change the Future
 
39:39
Teachers College is proud to introduce the 2012-13 Julius and Rosa Sachs Distinguished Lecturer Professor Ryan Baker, Columbia University. Ryan Shaun Joazeiro de Baker is Visiting Associate Professor in the Department of Human Development. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University, and was a post-doctoral fellow in the Learning Sciences at the University of Nottingham. He earned his Bachelor's Degree (Sc.B.) in Computer Science from Brown University. Dr. Baker has been Assistant Professor of Psychology and the Learning Sciences at Worcester Polytechnic Institute. He previously served as the first Technical Director of the Pittsburgh Science of Learning Center DataShop, the largest public repository for data on the interaction between learners and educational software. He is currently serving as the founding President of the International Educational Data Mining Society, and as Associate Editor of the Journal of Educational Data Mining. His research combines educational data mining, learning analytics and quantitative field observation methods in order to better understand how students respond to educational software, and how these responses impact their learning. He studies these issues within intelligent tutors, simulations, and educational games. In recent years, he and his colleagues have developed strategies to make inferences in real-time about students' motivation, meta-cognition, affect, and robust learning.
Challenges of Data | Research Topics 2017 | AXA Research Fund
 
01:38
How can we ensure that our data is protected? This film introduces 4 new research projects granted by the AXA Research Fund to help understand how to both safeguard and best use the increasing amounts of data now available to us. The flow of information available nowadays is colossal and exponentially growing, offering tremendous opportunities for better insights on the world we live in but also numerous new challenges. At AXA we believe that protecting data & the way they are used is essential. How to better protect, process & interpret the increasing volumes of information pouring in? To answer this question the AXA Research Fund has granted 4 new research projects in 2016, with a total commitment of over €1.7M, specifically: - Prof Filippone's methodology will help accurately quantify levels of uncertainty for decision-making - Prof Deng investigates how a unified framework can better protect data in ""untrusted"" servers such as the cloud - Prof Marsala's research aims at gaining a better understanding of the different facets of data interpretability for better decision-making - Dr Buonaguidi is working on a model to improve fraud detection while avoiding false alarms Your well-being and future rely on the power of research. The AXA Research Fund is dedicated to promoting discoveries that help us understand and better prepare against environmental, life and socio-economic risks. --- Subscribe to keep up to date with all our latest content: https://goo.gl/FnRO98 --- AXA’s 10 Topics to care about in 2017: Topic 1 - Financial & Political Stability - https://youtu.be/fLyM9zl5I-E Topic 2 - Neurodegenerative Diseases - https://youtu.be/bWCr4dqcI6c Topic 3 - The Future of Medicine - https://youtu.be/MdHCTHqPz6A Topic 4 - Healthcare Systems - https://youtu.be/iwW74fp96dc Topic 5 - Risky Behaviours - https://youtu.be/mQISLWgkOxI Topic 6 - Climate Change - https://youtu.be/8KYlUQhraJI Topic 7 - Impact on Environment - https://youtu.be/PnRgpBuPCIk Topic 8 - Natural Disasters - https://youtu.be/tk9ySWbu6jw Topic 9 - Big Data - https://youtu.be/BvN876sr2L4 Topic 10 - Health Challenges of the Future - https://youtu.be/eiTBHM8NvGE --- AXA Research Topics 2017 Playlist: https://www.youtube.com/playlist?list=PLbLfQYSzQ-h0HBwOl8HZV4_2ckmUYpit7 --- For more great videos - check out our YouTube Channel: https://www.youtube.com/user/AXAResearchFundLive --- Visit our website and content hub to find out more: http://www.axa-research.org/ http://gallery.axa-research.org/en/ --- Find us on: Facebook: http://www.facebook.com/AXAResearch/ Instagram: http://www.instagram.com/axaresearchfund Twitter: http://twitter.com/AXAResearchFund LinkedIn: http://www.linkedin.com/company/axa/ --- More about the researchers in this film: Prof Filippone: https://www.axa-research.org/en/projects/maurizio-filippone Prof Deng: https://www.axa-research.org/en/projects/robert-deng Prof Marsala: https://www.axa-research.org/en/projects/christophe-marsala Dr Buonaguidi: https://www.axa-research.org/en/projects/bruno-buonaguidi ---
Data Mining Proposal Project
 
03:16
Views: 19 atqzk
Data Mining | Tutorial for Beginners [Part 8] | NoSQL  Database | Great Learning
 
08:14
#DataMining | What is Data Mining? What are the applications of Data Mining? In this course, you will learn the basic concepts and fundamentals of Data Mining and more. About the Speaker: Raghu Raman A V Raghu is a Big Data and AWS expert with over a decade of training and consulting experience in AWS, Apache Hadoop Ecosystem including Apache Spark. He has worked with global customers like IBM, Capgemini, HCL, Wipro to name a few as well as Bay Area startups in the US. #BigData #DataMining #GreatLakes #GreatLearning About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 - Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/u/0/108438615307549697541 - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube Great Learning has collaborated with the University of Texas at Austin for the PG Program in Artificial Intelligence and Machine Learning and with UT Austin McCombs School of Business for the PG Program in Analytics and Business Intelligence.
Views: 117 Great Learning
Data Mining Project Topics | Data Mining Thesis Topics | Data Mining Code Project Topics
 
02:05
Contact Best Matlab Simulation Projects Visit us: http://matlabsimulation.com/
Views: 30 matlab simulation
What exactly is Big Data?
 
03:16
Introduction to big data in 3 minutes. Hi, I am a management consultant working in London in financial services. In 3-minute videos, buzzwords in the business world are explained simply. These videos should be starting points for your own research on these topics if they spark your interest. Enjoy!
Views: 2727 In 3 Minutes
Data Mining Project Proposal Example | Data Mining Thesis Proposal Example
 
02:23
Contact Best Matlab Code Projects Visit us: http://matlab-code.org/
Views: 174 MATLAB PROJECTS
Algorithmic Bias: From Discrimination Discovery to Fairness-Aware Data Mining (Part 1)
 
35:12
Authors: Carlos Castillo, EURECAT, Technology Centre of Catalonia Francesco Bonchi, ISI Foundation Abstract: Algorithms and decision making based on Big Data have become pervasive in all aspects of our daily lives lives (offline and online), as they have become essential tools in personal finance, health care, hiring, housing, education, and policies. It is therefore of societal and ethical importance to ask whether these algorithms can be discriminative on grounds such as gender, ethnicity, or health status. It turns out that the answer is positive: for instance, recent studies in the context of online advertising show that ads for high-income jobs are presented to men much more often than to women [Datta et al., 2015]; and ads for arrest records are significantly more likely to show up on searches for distinctively black names [Sweeney, 2013]. This algorithmic bias exists even when there is no discrimination intention in the developer of the algorithm. Sometimes it may be inherent to the data sources used (software making decisions based on data can reflect, or even amplify, the results of historical discrimination), but even when the sensitive attributes have been suppressed from the input, a well trained machine learning algorithm may still discriminate on the basis of such sensitive attributes because of correlations existing in the data. These considerations call for the development of data mining systems which are discrimination-conscious by-design. This is a novel and challenging research area for the data mining community. The aim of this tutorial is to survey algorithmic bias, presenting its most common variants, with an emphasis on the algorithmic techniques and key ideas developed to derive efficient solutions. The tutorial covers two main complementary approaches: algorithms for discrimination discovery and discrimination prevention by means of fairness-aware data mining. We conclude by summarizing promising paths for future research. More on http://www.kdd.org/kdd2016/ KDD2016 conference is published on http://videolectures.net/
Views: 1782 KDD2016 video
Artificial Intelligence - Annual Meeting 2018 | Documentary (Advexon) #Advexon
 
02:32:53
About conference Hear, Explore and learn the latest research. Present before distinguished global audience. Collaborate, build partnerships and experience USA. Join the global academic community. Conference Series LLC Ltd. invites all the participants across the globe to attend the 5th International conference on Artificial Intelligence during April 16-17, 2018 at Las Vegas, Nevada, USA. Artificial Intelligence 2018 includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions. Artificial Intelligence 2018 aims in proclaim knowledge and share new ideas amongst the professionals, industrialists and students from research area of Artificial Intelligence to share their research experiences and indulge in interactive discussions at the event. This scientific gathering guarantees that offering the thoughts and ideas will enable and secure you the theme “Surging into the future of Artificial Intelligence”. Artificial Intelligence is the latest trending technology in many fields especially in industries like manufacturing, control systems, Data mining, etc. The current era fully rolled out with many new Artificial Intelligence technologies. In such case more Software companies and industries were newly introduced within market which obviously shows the market growth of Artificial Intelligence. While analyzing the revenue growth of Artificial Intelligence, it highly developed from $150 billion USD to $250 billion USD since from 2010-2015. And the annual growth percentage increases from 20-55 percentages, which clearly shows that Software technology contains huge scope in coming years. Due to incredible technology development, the industries are trying to reduce man power where they trying to increase automation function in various sectors. Now artificial intelligence is used in each and every company where machines are involved and some or other process is involved. Many fields like robotics, mechatronics, control systems, electronics, wireless, laser technology, automotive motors are depended only on this Automation functions. The conference organizers aim is to gather the researcher’s academicians and scientists from the field of Data Mining and Artificial Intelligence community to create an approach towards global exchange of information on technological advances, new scientific innovations, and the effectiveness of various regulatory programs towards artificial Intelligence. Target Audience: Artificial Intelligence Lab Directors/Associates, Robotics Lab Directors Head of the Departments from the field of Artificial Intelligence, Automation & Robotics, Data Mining, Mechatronics, Control systems According to TechSci Research report, "United States Artificial Intelligence Market, By Application, By Region, By End User Competition Forecast & Opportunities, 2011-2021", the artificial intelligence market in the US is projected to grow at a CAGR of 75% during 2016 - 2021 on account of growing artificial intelligence technology adoption in consumer electronic devices, research and developmental activities in healthcare industry, unmanned aerial vehicles, autonomous cars, etc. This research evaluates enterprise robotics in the United States including companies, technologies, and solutions across industry verticals and applications. The report includes forecasts by industry vertical/application for 2017 through 2021. Leading industry verticals are beginning to see improved operational efficiency through the introduction of robotics and Artificial Intelligence (AI). Robotics investment in many industries represents a substantial capital expenditure with the potential to dramatically reduce operational expenses through resource optimization, quality improvement, and waste reduction. Robotics in business will accelerate as less expensive hardware and improvements in AI lead to improved cost structures and increased integration with enterprise software systems respectively. The massive amount of data generated by robotics will create opportunities for data analytics and AI-enabled decision support systems. Emerging areas for enterprise robotics include Robotics as a Service, Cloud Robotics, and General Purpose Robotics. * Subscribe for more Scientific & Technological Videos * Like & Share * go to our website http://www.advexon.com * Share your ideas and comment artificial intelligence ai national geographic documentary bbc documentary (Advexon)
Views: 25324 ADVEXON TV