Search results “Recent research topics in data mining”
15 Hot Trending PHD Research Topics in Data Mining 2018
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
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Current trends in Data Mining..
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: 375 vaishu raj
Get latest data mining Thesis Topics-+91-9041262727
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/
Data Mining in the Medical Field
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: 3375 Aditya Jariwala
Get latest data mining Thesis Topics for master and phd
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/
PhD research topic in big data
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Get Latest Data Mining Thesis Topics -9041262727
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/
Top 7 IoT (Internet of Things) Projects | IoT Project Ideas | IoT Training | Edureka
** IoT Training : https://www.edureka.co/iot-certification-training ** This "Top 7 IoT Projects" video by Edureka will take you through the top 7 IoT projects which are revolutionizing the world. Do mention other popular IoT Projects you know about in the comment section. This IoT projects video covers following topics: 7. Biometrics System 6. Smart Irrigation System 5. Security Camera & Door Unlock System 4. Smart Home 3. Smart City 2. Zelda Ocarina Controlled Home Automation 1. Jarvis Subscribe to our Edureka channel to get video updates. Hit the subscribe button above. # IoTProjects #Internet_of_Things_Applications #Whatisiot #iot #iottutorial #internetofthings #iotonlinetraining #iotforbeginners -------------------------- About our IoT Training IoT Certification Training is designed by industry experts to make you a Certified IoT Developer. Edureka IoT training covers: Understanding of IoT architecture and IoT Decision Framework Configure Raspberry Pi, Understand Sensors, Actuators & get started with python on Raspberry Pi Program Sensors (Sense-HAT board), Face Detection and reorganization using OpenCV-Python Understand various IoT Networking Protocols which are mainly used to develop communication solutions Getting started with Cloud and Azure IoT Hub, demonstration of Azure IoT Hub APIs Architect an End-to-End Solution using Raspberry Pi, Sense HAT and Azure Perform Data Analytics on the collected sensor data, use prediction algorithms to get useful insights IoT challenges, business solutions, research scope and current development, Alexa Voice Bot on Raspberry Pi -------------------------- Who should go for this IoT Training? This IoT Certification Training on Azure is for all the professionals who are passionate about work with IoT devices and want to go ahead and make their career as an IoT Developer. It is best suited for individuals who are: Software Developers who are venturing into IoT space Solution Architects Technical Architects Students who seek IoT knowledge Business Executives and Managers who want to understand the essentials of IoT ------------------- Why Learn IoT? Internet of Things is considered as the next big technology revolution after invention of the Internet. It is supposed to make tremendous impacts on lives and may possibly lead to the betterment of millions of lives throughout the world. According to Cisco, over 50 million devices are expected to be connected to IoT by 2020. Healthcare, Logistics, Aviation, Education, Information Technology name any thing and IoT will become an integral part of all these verticals. Internet of Things is believed to bring about the singularity which will ultimately converge into becoming the Internet of Everything. IoT has, therefore, become a leading interest of technologists globally and is perceived to be the NEXT BIG THING in IT industry. Learning IoT will not only provide you a career boost but you will also be able to gain insights on how technology has affected the world and will continue to do so in the coming decades. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Review: Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favourite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”
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Data Mining Projects 2016-2017 | ieee data mining papers 2016
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
How to Read a Research Paper
Ever wondered how I consume research so fast? I'm going to describe the process i use to read lots of machine learning research papers fast and efficiently. It's basically a 3-pass approach, i'll go over the details and show you the extra resources I use to learn these advanced topics. You don't have to be a PhD, anyone can read research papers. It just takes practice and patience. Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: http://www.arxiv-sanity.com/ https://www.reddit.com/r/MachineLearning/ https://www.elsevier.com/connect/infographic-how-to-read-a-scientific-paper https://www.quora.com/How-do-I-start-reading-research-papers-on-Machine-Learning https://www.reddit.com/r/MachineLearning/comments/6rj9r4/d_how_do_you_read_mathheavy_machine_learning/ https://machinelearningmastery.com/how-to-research-a-machine-learning-algorithm/ http://www.sciencemag.org/careers/2016/03/how-seriously-read-scientific-paper Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 206615 Siraj Raval
Natasha Jaques: "Recent advances in AI and machine learning" - English Version | Starsconf 2018
Artificial intelligence is one of the most rapidly growing domains in computer science, due to accelerated progress in the areas of machine learning and deep learning. Companies are aggressively expanding the size of their machine learning teams, and constantly finding new ways to deploy these techniques in products. So why have machine learning and deep learning garnered so much attention recently? This talk will give a brief introduction to these topics, and go over some recent advances they have made possible. Natasha will then describe several of her own recent research projects, spanning machine learning for healthcare, creative AI, and reinforcement learning. For example, she will show how we can use machine learning to accurately predict a person’s happiness, stress, and health tomorrow, using data collected from their smartphone today. Deep learning can also successfully generate novel molecules to aid in drug discovery, novel music, and even learn to draw! Finally, she will show how endowing AI agents with social awareness can improve their ability to learn. Versión del video en español en: https://youtu.be/nvSwFoBCnsI
Views: 3318 StarsConf
Data Mining as a healthcare research tool (Analytics Techniques Listed Below)
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
Project topics on data mining
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Data Mining Research Projects | Data Mining Research Thesis | Data Mining Research Code Projects
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Research in 3 Minutes: Text and Data Mining
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
Data Mining Research Topics | Data Mining Research Project Topics
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Current Research Topics in Cloud Computing
If you are looking for Current Research Topics in Cloud Computing. Visit E2matrix Official website and get cloud computing thesis topics for free. Website: http://bit.ly/2scJt0t Contact : +91 9041262727
Views: 89 E2matrix Media
A Systematic Review on Educational Data Mining
Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/clickmyproject Mail Us: [email protected]
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Project Topics on Data Mining | Thesis Topics on Data Mining | Code Project Topics on Data Mining
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Data mining Projects | Latest Data Mining Projects
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
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Five machine learning research topics at Oxford CS
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: 4436 Microsoft Research
Mining Twitter with Python : 1 - Hashtags, Topics, and Time Series
Twitter is one of the most well-known online social networks that enjoy extreme popularity in the recent years. We will start looking at data mining on Twitter and how to interact with Twitter API. ----- ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 4889 Sukhvinder Singh
2018 Cloud Computing - Research Domains and Directions
Cloud Computing has given great impetus for individual and institutions across the globe to change the way they build enterprises and innovate their services. For researchers it provides a fertile land for mining new ways of harnessing it in many sectors of business and government function. In this webinar possible domains of cloud research are presented from global perspective. A special section is dedicated to recommend research avenues that are open to Indian scholars to make cloud a more effective tool to achieve social and business goals
Data mining Projects 2017 | 2018 IEEE Project Titles on Data Mining using Java
Data mining Projects 2017 | 2018 IEEE Project Titles on Data Mining using Java An Iterative Classification Scheme for Sanitizing Large-Scale Datasets Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach Collaborative Filtering-Based Recommendation of Online Social Voting Computing Semantic Similarity of Concepts in Knowledge Graphs Detecting Stress Based on Social Interactions in Social Networks Dynamic Facet Ordering for Faceted Product Search Engines Efficient Clue-based Route Search on Road Networks Efficient Keyword-aware Representative Travel Route Recommendation Energy-efficient Query Processing in Web Search Engines Generating Query Facets using Knowledge Bases Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items Mining Competitors from Large Unstructured Datasets Modeling Information Diffusion over Social Networks for Temporal Dynamic Prediction Personal Web Revisitation by Context and Content Keywords with Relevance Feedback PPRank: Economically Selecting Initial Users for Influence Maximization in Social Networks QDA: A Query-Driven Approach to Entity Resolution Query Expansion with Enriched User Profiles for Personalized Search Utilizing Folksonomy Data RAPARE: A Generic Strategy for Cold-Start Rating Prediction Problem SociRank: Identifying and Ranking Prevalent News Topics Using Social Media Factors Towards Real-Time, Country-Level Location Classification of Worldwide Tweets Trajectory Community Discovery and Recommendation by Multi-source Diffusion Modeling Understand Short Texts by Harvesting and Analyzing Semantic Knowledge User Vitality Ranking and Prediction in Social Networking Services: a Dynamic Network Perspective User-Centric Similarity Search When to Make a Topic Popular Again? A Temporal Model for Topic Re-hotting Prediction in Online Social Networks http://jpinfotech.org/projects/2017-ieee-projects/java-projects/
Projects in Data Mining Topics | Thesis in Data Mining Topics | Code Projects in Data Mining Topics
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thesis on image processing latest topics chandigarh
Artificial Intelligence - Annual Meeting 2018 | Documentary (Advexon) #Advexon
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: 23795 ADVEXON TV
mining text data projects
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Data Mining Project Topics | Data Mining Thesis Topics | Data Mining Code Project Topics
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Project Topics Related Data Mining | Thesis Topics Related Data Mining
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Data Mining Project Topics Ieee | Data Mining Thesis Topics Ieee
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Novel Data Mining Methods for Virtual Screening - PhD Defense
The Defense of PhD degree in Computer Science in King Abdullah University of Science and Technology (KAUST). Abstract: Drug discovery is a process that takes many years and hundreds of millions of dollars to reveal a confident conclusion about a specific treatment. Part of this sophisticated process is based on preliminary investigations to suggest a set of chemical compounds as candidate drugs for the treatment. Computational resources have been playing a significant role in this part through a step known as virtual screening. From a data mining perspective, availability of rich data resources is key in training prediction models. Yet, the difficulties imposed by the big expansion in data and its dimensionality are inevitable. In this thesis, I address the main challenges that come when data mining techniques are used for virtual screening. In order to achieve an efficient virtual screening using data mining, I start by addressing the problem of feature selection and provide analysis of best ways to describe a chemical compound for an enhanced screening performance. High-throughput screening (HTS) assays data used for virtual screening are characterized by a great class imbalance. To handle this problem of class imbalance, I suggest using a novel algorithm called DRAMOTE to narrow down promising candidate chemicals aimed at interaction with specific molecular targets before they are experimentally evaluated. Existing works are mostly proposed for small-scale virtual screening based on making use of few thousands of interactions. Thus, I propose enabling large-scale (or big) virtual screening through learning millions of interaction while exploiting any relevant dependency for a better accuracy. A novel solution called DRABAL that incorporates structure learning of a Bayesian Network as a step to model dependency between the HTS assays, is showed to achieve significant improvements over existing state-of-the-art approaches.
Views: 470 Othman Soufan
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Social media data mining for counter-terrorism | Wassim Zoghlami | TEDxMünster
Using public social media data from twitter and Facebook, actions and announcements of terrorists – in this case ISIS – can be monitored and even be predicted. With his project #DataShield Wassim shares his idea of having a tool to identify oncoming threats and attacks in order to protect people and to induce preventive actions. Wassim Zoghlami is a Tunisian Computer Engineering Senior focussing on Business Intelligence and ERP with a passion for data science, software life cycle and UX. Wassim is also an award winning serial entrepreneur working on startups in healthcare and prevention solutions in both Tunisia and The United States. During the past years Wassim has been working on different projects and campaigns about using data driven technology to help people working to uphold human rights and to promote civic engagement and culture across Tunisia and the MENA region. He is also the co-founder of the Tunisian Center for Civic Engagement, a strong advocate for open access to research, open data and open educational resources and one of the Global Shapers in Tunis. At TEDxMünster Wassim will talk about public social media data mining for counter-terrorism and his project idea DataShield. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 2127 TEDx Talks
Big Data and Challenges for Research and Research Funding
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: 976 VolkswagenStiftung
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The most important skills of data scientists | Jose Miguel Cansado | TEDxIEMadrid
How big data starts to drive the world, and what kind of skills will you need to interpret it? General Director of Alto Data Analytics, Jose Miguel Cansado, has developed his international career in IMB Watson and Alcatel-Lucent, including eight years in pacific Asia as Head of Multimedia and Mobile Communications. He is a telecommunication engineer and holds a master’s in marketing from INSEAD, as well as executive MBA from IE Business School. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Views: 110155 TEDx Talks
Nlp data mining projects
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PhD research topic in Image Mining
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Latest Phd Research Topics in Computer Science
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List of Thesis and Research Topics in Computer Science for M.Tech and PhD
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
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Image Processing and Data Mining thesis Writing Services in India
Thesisgator.com proudly provides Electronics thesis writring services along with image processing and Network security at low cost in an effective manner. To know more, Contact us on (+91) 8951182680 or Send Your Query at [email protected] To explore more about Image Processing and Data Mining Thesis Writing Services in India, please visit http://thesisgator.com/pages/t&c.php
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Data Mining in Systems Research, Dr. Abhishek Sharma, NEC Labs USA
Dr. Abhishek Sharma tells us how data mining and machine learning are changing the way we analyze the performance of computing systems. He shares the lessons he has learnt doing research and building products that use data mining and machine learning for server log analysis. The video also includes pointers to must-read papers and techniques for researchers interested in this area. www.researchdiaries.org
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Behavior Research in AIS - Current Topics in Auditing - Spring 2018 - Professor Vasarhelyi
Current Topics In Auditing Lecture 9 Professor Vasarhelyi March 20, 2018 Please visit our website at http://raw.rutgers.edu Time Stamps: Topic 1: The Impact of Initial Information Ambiguity on the Accuracy of Analytical Review Judgments. 0:04:15 Background & Research 0:04:53 Concepts 0:07:18 Hypotheses 0:07:59 Experiments 0:09:51 Results 0:11:43 Additional Test 0:18:45 Conclusion & Contributions Topic 2: Attention-Directing Analytical Review Using Accounting Ratios: A Case Study 0:26:19 Attention-Directing Analytical Review 0:27:05 Background 0:27:53 Case Study Method 0:29:01 The Case Firm 0:29:48 Often Used Ratios 0:30:07 Types of Errors 0:30:45 Errors’ Effects 0:31:20 Investigating Rules 0:34:31 Conclusions Topic 3: Clustering Based Peer Selection with Financial Ratios 0:48:17 Research Objectives and Contributions 0:49:28 Motivation 0:52:53 Existing Classification 0:55:09 Why base clustering on financial ratios? 0:57:47 Research Methodology 1:14:53 How are Comparisons Made Across Classification Schemes? 1:17:57 SIC vs Clustering - Within Group Dispersion 1:20:38 Comparison of Adjusted R-Squared 1:21:08 Conclusion Topic 4: Adding an Accounting Layer to Deep Neural Network: 1:29:34 Financial Statements Fraud and Earnings Management 1:30:10 Fraud Detection, Data Mining, and Audit Analytics 1:30:31 Framework Topic 5: A Field Study on the Use of Process Mining of Event Logs as an Analytical Procedure in Auditing 1:59:23 Introduction 2:00:58 Protocol for Applying Process Mining 2:04:28 Field Study Site 2:05:38 Identify the Designed Process 2:07:28 Preliminary Analysis of the Event Log 2:09:29 Process Discovery 2:16:26 Role Analysis 2:20:27 Verification by Attribute Analysis 2:29:18 Social Network Analysis 2:30:02 Research Implications of Process Mining 2:30:31 Conclusion Please subscribe to our channel to get the latest updates on the RU Digital Library. To receive additional updates regarding our library please subscribe to our mailing list using the following link: http://rbx.business.rutgers.edu/subscribe.html
Data Mining Project Proposal Example | Data Mining Thesis Proposal Example
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