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Search results β€œXml retrieval in web mining components”
1. Information Retrieval - Introduction and Boolean Retrieval with example
 
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This video explains the Introduction to Information Retrieval with its basic terminology such as: Corpus, Information Need, Relevance etc. It also explains about the types of data i.e. Structured, Unstructured and Semi Structured. This video also contains the detailed explanation of How to create Term Document Incidence Matrix with the help of real world example, which is called as Boolean Retrieval.
Views: 17086 itechnica
Controlling Overlap in Content-Oriented XML Retrieval
 
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The representation of documents in XML provides an opportunity for information retrieval systems to take advantage of document structure, returning individual document components when appropriate, rather than complete documents in all circumstances. In response to a user query, an XML information retrieval system might return a mixture of paragraphs, sections, articles, bibliographic entries and other components. This facility is of particular benefit when a collection contains very long documents, such as product manuals or books, where the user should be directed to the most relevant portions of these documents. The direct application of standard ranking techniques to retrieve individual elements from a collection of XML documents often produces a result set in which the top ranks are dominated by a large number of elements taken from a small number of highly relevant documents. This paper presents and evaluates an algorithm that re-ranks this result set, with the aim of minimizing redundant content while preserving the benefits of element retrieval, including the benefit of identifying topic-focused components contained within relevant documents. Test collections developed by the INitiative for the Evaluation of XML Retrieval (INEX) form the basis for the evaluation.
Views: 18 Microsoft Research
Big Data Information Retrieval Challenges Explained In Hindi
 
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πŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“š GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING πŸŽ“πŸŽ“πŸŽ“πŸŽ“πŸŽ“πŸŽ“πŸŽ“πŸŽ“ SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘ EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘ THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. πŸ™πŸ™πŸ™πŸ™πŸ™πŸ™πŸ™πŸ™ YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING πŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“š
Views: 6906 5 Minutes Engineering
Web crawlers and web information retrieval In Hindi | GTU | WEB DATA MANAGEMENT
 
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Know about web crawlers and web information retrieval In Hindi #GTU #WEBDATAMANAGEMENT #Webcrawlers&webinformationretrieval
Tutorial - How to use the Web Service Task in SSIS
 
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This video shows a quick way to use the Web Service Task in SSIS, and how to load the data into SQL Server. Website Link: http://holidaywebservice.com/HolidayService_v2/HolidayService2.asmx? XSLT Converter Code: https://pastebin.com/D5vzBNPN Also I recommend XML Notepad to get a good understanding of XML structure if you are new to XML or like a clean UI better than just code. XML Notepad: https://www.microsoft.com/en-us/download/details.aspx?id=7973
Views: 5227 Mohamed Khan
Top-Down XML Keyword Query Processing
 
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Sai infocorp Solution Pvt. Ltd. Mobile no- 9028924212. Address: Head office: 2nd floor, Yashomandir Avenue, Behind Maleria Bus Stop, Patil lane No. 1, College Road, nashik- 422005. Phone no- 0253 6644344. Mobile no- 9028924212. Branch office: Office No-307, 3rd Floor, Om Chembars, Above Hotel Panchali, JM Road, Shivaji nagar, pune- 411005 Phone no- 020 30107071. Email: [email protected] Website: www.saiinfosolution.co.in
Issues of Retrieval
 
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This General Psychology video teaches transfer appropriate processing, state dependent retrieval, and retrieval-induced forgetting.
easIE: Easy Information Extraction
 
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easIE: Easy Information Extraction is a framework for quickly and simply generating Web Information Extractors and Wrappers. easIE offers a set of wrappers for obtaining content from Static and Dynamic HTML pages by pointing to the html elements using css Selectors. An additional fuctionality is the definition of a configuration file. Users can define a configuration file in JSON format in order to extract content of a page by only defining this configuration file. easIE is also available on github: https://github.com/MKLab-ITI/easIE/
Views: 198 Vas Gat
Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment
 
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Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model 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 Mining opinion targets and opinion words from online reviews are important tasks for fine-grained opinion mining, the key component of which involves detecting opinion relations among words. To this end, this paper proposes a novel approach based on the partially-supervised alignment model, which regards identifying opinion relations as an alignment process. Then, a graph-based co-ranking algorithm is exploited to estimate the confidence of each candidate. Finally, candidates with higher confidence are extracted as opinion targets or opinion words. Compared to previous methods based on the nearest-neighbor rules, our model captures opinion relations more precisely, especially for long-span relations. Compared to syntax-based methods, our word alignment model effectively alleviates the negative effects of parsing errors when dealing with informal online texts. In particular, compared to the traditional unsupervised alignment model, the proposed model obtains better precision because of the usage of partial supervision. In addition, when estimating candidate confidence, we penalize higher-degree vertices in our graph-based co-ranking algorithm to decrease the probability of error generation. Our experimental results on three corpora with different sizes and languages show that our approach effectively outperforms state-of-the-art methods.
Views: 2371 jpinfotechprojects
Information Retrieval
 
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Links to resources: http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf https://en.wikipedia.org/wiki/Vector_space_model
Views: 4515 Andrei Barbu
CSCI 572 : Information Retrieval and Web Search Engine.
 
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Data visualization of crawled weapons data.
Views: 187 manali shah
bpmNEXT 2013: Extreme BPMN: Semantic Web Leveraging BPMN XML Serialization
 
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Lloyd Dugan, BPM, Inc. and Mohamed Keshk, Semantic BPMN This session demonstrates some of the most extreme work performed to date with BPMN -- extending it beyond the process view into semantic meaning and systems architecture. Completed inside the U.S. defense enterprise, BPMN is used for enterprise-level services modeling and within an ontology-based semantic search engine to automate search of process models. The resulting engine leverages the power of the Semantic Web to discover patterns and anomalies across now seamlessly linked repositories. This approach for the first time fully exploits the richness of the BPMN notation, uniquely enabling modeling of executable services as well as context-based retrieval of BPMN artifacts. Lloyd Dugan is the Chief Architect for Business Management, Inc., providing BPMN modeling, system design, and architectural advisory services for the Deputy Chief Management Office (DCMO) of the U.S. Department of Defense (DoD). He is also an Independent Consultant that designs executable BPMN processes that leverage Service Component Architecture (SCA) patterns (aka BPMN4SCA), principally on the Oracle BPMN/SOA platform. He has nearly 27 years of experience in providing IT consulting services to both private and public sector clients. He has an MBA from Duke University's Fuqua School of Business. Mohamed Keshk has been working with Semantic Technology since 2001, and Model Driven Architecture (MDA) since 2005. His most recent work focuses on bridging the gap between semantic technology and metamodel-based standards such as UML2 and BPMN 2.0, including the first ontology-based query engine for BPMN 2.0, based on XMI metamodel. As Sr. Semantic Architect, Mohamed is testing the engine in a production environment to let users instantly retrieve information in a model repository.
Anomaly Detection via Online Oversampling Principal Component Analysis
 
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Sai infocorp Solution Pvt. Ltd. Mobile no- 9028924212. Address: Head office: 2nd floor, Yashomandir Avenue, Behind Maleria Bus Stop, Patil lane No. 1, College Road, nashik- 422005. Phone no- 0253 6644344. Mobile no- 9028924212. Branch office: Office No-307, 3rd Floor, Om Chembars, Above Hotel Panchali, JM Road, Shivaji nagar, pune- 411005 Phone no- 020 30107071. Email: [email protected] Website: www.saiinfosolution.co.in
Pattern Mining in Linked Data by Edge-Labeling
 
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Sai infocorp Solution Pvt. Ltd. Mobile no- 9028924212. Address: Head office: 2nd floor, Yashomandir Avenue, Behind Maleria Bus Stop, Patil lane No. 1, College Road, nashik- 422005. Phone no- 0253 6644344. Mobile no- 9028924212. Branch office: Office No-307, 3rd Floor, Om Chembars, Above Hotel Panchali, JM Road, Shivaji nagar, pune- 411005 Phone no- 020 30107071. Email: [email protected] Website: www.saiinfosolution.co.in
How Hadoop Works Explained with Examples in Hindi
 
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πŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“š GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING πŸŽ“πŸŽ“πŸŽ“πŸŽ“πŸŽ“πŸŽ“πŸŽ“πŸŽ“ SUBJECT :- Discrete Mathematics (DM) Theory Of Computation (TOC) Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘ EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘πŸ’‘ THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. πŸ™πŸ™πŸ™πŸ™πŸ™πŸ™πŸ™πŸ™ YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING πŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“šπŸ“š
Views: 6025 5 Minutes Engineering
Information Retrieval System Using Vector Space Model
 
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Information Retrieval System Using Vector Space Model. The project has two phases. In Phase I, you will build the indexing component, which will take a large collection of text and produce a searchable, persistent data structure. In Phase II, you will add the searching component, according to Vector Space Model.
Views: 3674 satya narayana
Unlock Knowledge Mining on your domain: build custom skills to tailor content - BRK3001
 
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From accounting to retail, from healthcare to legal, industries and businesses have specific ways they need to interpret their data in order to unlock value. Come learn how to apply knowledge to your specific business scenarios, domain or industry with custom skills on Azure Search. We'll show how to create custom skills using tools like Azure Functions and Containers and connect them to intelligent knowledge mining processes. Real examples included.
Views: 116 Microsoft Developer
Relevancy Ranking
 
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Relevancy Ranking and the library.
Ontology based Retrieval of Components Project Java Source Code
 
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Download Ontology based Retrieval of Components Project Java Source Code, Project Report, Documentation, PPT for free of cost. http://freeprojectscode.com/java-projects/ontology-based-retrieval-of-components/1137/
Views: 704 kasarla shanthan
Excel VBA Pull Data From A Website
 
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The website has changed since I originally made this video. The state appears to have been removed but you can still get the city and county at least. Change the code from what I say in the video to this: Dim sDD as string sDD = Trim(Doc.getElementsByTagName("dd")(0).innerText) sDD = split(sDD,VbNewLine)(0) Range("city").Value = Split(sDD,", ")(0) Range("county").Value = Split(sDD,", ")(1) A tutorial showing how to pull data from a website. In this tutorial I make a zip lookup that pulls in the city, state and county based on a given zip code. Since posterous closed: http://brettdotnet.wordpress.com/2012/04/20/excel-vba-pull-data-from-a-website-update/
Views: 429890 DontFretBrett
Managing User Secrets
 
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In this episode, Robert is joined by Andrew Cheung (https://twitter.com/AndrewCMSFT) and Alicia Chan, who show how Visual Studio can help you stop storing sensitive data like connection strings and other user secrets in your code. They show how to store secrets locally in json or XML files and how to store them in Azure Key Vault.
Map reduce program using Hadoop || All files are given || Information Retrieval
 
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Aim : Map reduce program using Hadoop Steps : Download hadoop : https://drive.google.com/open?id=1-ITdRSQqVDawvU4CD6xhzOx4VzXgJcQ0 Extract the above folder with winrar or 7zip. 1) Install java directly in C drive . 2) Set path in user variable JAVA_HOME & bin. 3) Copy extracted hadoop ignore those 2 errors folder to C: drive and add HADOOP_HOME/bin to path & sbin also. 4) Copy xml files to /etc/hadoop 5) Create a "data" folder in hadoop directory and inside that create 2 folder named "datanode" & "namenode". 6) Add java path to hadoop-env.cmd as JAVA_HOME=C:\Java\jdk1.8.0_191 7) Copy custom bin files to bin location. Create a text file named "input_file.txt" and place it in C drive. (I have already created) ============================================================================== *Steps to create jar file in eclipse. ============================================================================== Create java project in eclipse add a class name it as WordCount and then copy the code and also add external jars , then export it to jar file. copy that jar file in your C:\ drive.(I have already done that) =============================================================================================================== MapReduceClient.jar download link : https://drive.google.com/open?id=1DXKoK7JRto0qssYg5-9fwHemSTblWVAB 8) Open cmd in Administrative mode and type "hdfs namenode -format" and then "start-all.cmd" 9) Create an input directory in HDFS : - hadoop fs -mkdir /input_dir 10) Copy the input text file named input_file.txt in the input directory (input_dir)of HDFS - hadoop fs -put C:/input_file.txt /input_dir 11) Verify input_file.txt available in HDFS input directory (input_dir). - hadoop fs -ls /input_dir/ 12) To see the contents : hadoop dfs -cat /input_dir/input_file.txt 13) Run MapReduceClient.jar and also provide input and out directories. - hadoop jar C:/MapReduceClient.jar WordCount /input_dir /output_dir - hadoop dfs -cat /output_dir/* 15) To Delete file from HDFS directory hadoop fs -rm -r /iutput_dir/input_file.txt Sorry for those unwanted error in your case you will get the output. Thanks for watching.. do like comment and subscribe
Views: 270 Anurag Kurmi
A Pragmatic Guide to Web Components
 
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Get a crash course on what Web Components are, how the current batch of JavaScript frameworks address the technology, and some good anti-patterns to avoid when building your own Web Components. More awesome HTML5 & JavaScript resources: http://crcl.to/nc Open Web Camp: http://openwebcamp.com
Views: 3991 InfoQ
Information retrieval system using OCR
 
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The video gives detailed description about six week summer project named as information retrieval system Using OCR and my sub-module is retrieval of data from digitalised documents. The main objective of our project is to reduce manual work during admissions in colleges and universities.
Views: 808 Komalpreet Kaur
E - Farming
 
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Sai infocorp Solution Pvt. Ltd. Mobile no- 9028924212. Address: Head office: 2nd floor, Yashomandir Avenue, Behind Maleria Bus Stop, Patil lane No. 1, College Road, nashik- 422005. Phone no- 0253 6644344. Mobile no- 9028924212. Branch office: Office No-307, 3rd Floor, Om Chembars, Above Hotel Panchali, JM Road, Shivaji nagar, pune- 411005 Phone no- 020 30107071. Email: [email protected] Website: www.saiinfosolution.co.in
Query and Simple Reporting in Database using SQL: Part1
 
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Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applicationsβ€”which may run either on the same computer or on another computer across a network (including the Internet)
Views: 68 New Arrival
SQL Server Integration Services (SSIS) Web Crawling Scrapping  Part 3
 
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Download whole source package at http://moeens.com. Implements, how to download a webpage by using SSIS and SQL Server 2008 from a list of links using a text file as source and Sql Server 2008 as Destination.
Views: 2700 moeenkhurshid
Dynamic Javascript Scraping - Web scraping with Beautiful Soup 4 p.4
 
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Welcome to part 4 of the web scraping with Beautiful Soup 4 tutorial mini-series. Here, we're going to discuss how to parse dynamically updated data via javascript. Many websites will supply data that is dynamically loaded via javascript. In Python, you can make use of jinja templating and do this without javascript, but many websites use javascript to populate data. To simulate this, I have some javascript added to the sample page: https://pythonprogramming.net/parsememcparseface/ https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 91883 sentdex
MSBI - SSIS - Import Column Transformation, Export Column Transformation
 
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MSBI - SSIS - Import Column Transformation, Export Column Transformation
Views: 314 M R Dhandhukia
Essential Terms of Xpath In Hindi | GTU | WEB DATA MANAGEMENT
 
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Important Terms of Xpath In Web data Management #GTU #WEBDATAMANAGEMENT #Xpath
What Is Big Data Curation?
 
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"SEE What Is Big Data Curation LIST OF RELATED VIDEOS OF What Is Big Data Curation IN THIS CHANNEL : What Is Big Data Curation? https://www.youtube.com/watch?v=_vHm94pjpes What Is A Curation? https://www.youtube.com/watch?v=oqmaHMAaHqM What Is A Curated Database? https://www.youtube.com/watch?v=tKqErMWzJ0Y What Is A Imessage? https://www.youtube.com/watch?v=XPZ50H0vsT4 What Is A Promoted Trend? https://www.youtube.com/watch?v=VQTTiQhgXCQ What Is Apple Verification Code? https://www.youtube.com/watch?v=W3yEUBlUQMw What Is An Evergreen Content? https://www.youtube.com/watch?v=nOTBt0tl5OE What Is A Curation Tool? https://www.youtube.com/watch?v=urKZIH7PmrE What Is Aggregating Content? https://www.youtube.com/watch?v=lnyz73n1Xto What Is Annotation Meaning? https://www.youtube.com/watch?v=KjYVFkg9HeQ"
Views: 108 sparky Facts
Lecture -38 Search Engine And Web Crawler - Part-I
 
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Lecture Series on Internet Technologies by Prof.I.Sengupta, Department of Computer Science & Engineering ,IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 32509 nptelhrd
IEEE 2013 JAVA A Survey on Region Extractors from Web Documents
 
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SSIS - Working with Script Task
 
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In this tutorial, we are going to explain the functionalities of Execute SQL Task in SQL Server Integration Services. Script tasks are a great way of extending SSIS functionality, when the buit-in functionality isn't quite Script tasks are a great way of extending SSIS functionality. One of the most effective ways to extend your SQL Server Integration Services (SSIS) control flow is to use a Script task to write custom code that perform tasks you cannot perform with the built-in components. For more information, please visit us at http://www.sql-datatools.com
Views: 80 Mukesh Singh
How Search Engine Works? how google search engine works? crawling| Indexing| ranking
 
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How Search Engine Works? how google search engine works? crawling| Indexing| ranking in this video i covered topics What Is Search Engine? How Search Engine Works? How Google Search Engine Works? What Is Crawling in Search Engine? What is Indexing in Search Engine/ What is Retrieval and Ranking in Search Engine? what is Ranking Algorithm in Search Engine? for this information watch Complete Video in Hindi. Flipkart App Link : http://fkrt.it/J!2fNTuuuN Recommended Earphones Under 1200 Rs. 1. JBL T110 Pure Boss Earphone :https://goo.gl/rJYDhX 2. 1 MORE Piston FIT Earphone : https://goo.gl/cf21w6 Memory Card : San Disk 64 GB Class 10 : https://goo.gl/QrcixF Samsung EVO Class 10 32GB : https://goo.gl/t8rKNa Recommended For You tubers 1. Canon EOS 700D 18 MP : https://goo.gl/mQiaU2 2. Omni Lavalier Microphone : https://goo.gl/3cp5sV 3. BOYA BY M1 : https://goo.gl/cj1pVW 4. RODE VIDEO MICROCOMPACT : https://goo.gl/ScksDY 5. BLUE SNOWBALL MICROPHONES : https://goo.gl/oUZpn6 6. SIMPEX 1200 Tripod : https://goo.gl/kh2ktD 7. Lightning Holder Softbox : https://goo.gl/375KBB ====================================== subscribers: 200, views : 15567 Subscribers : 300, Views : 29359 Subscribers : 400 Views : 43435 Popular uploads : https://goo.gl/M9YrYz Recent activitiese : https://goo.gl/VvNmDT Subscribe Channel : https://goo.gl/h1gq6D Google Plus : https://goo.gl/TYTSPM Facebook page : https://www.facebook.com/techitkefande/ Twitter page : https://twitter.com/techitkefande Website : https://techitkefande.blogspot.in/
Views: 50 ABG Tech
GeneProf Screencasts: Loading Data into R using GeneProf Web Services
 
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GeneProf is a web-based, user-friendly bioinformatics analysis suite with a focus on high-throughput functional genomics data. GeneProf enables experimental and computational biologists to benefit from genome-scale experiments and to enrich their research with the latest scientific insights. This video tutorial demonstrates how to use the GeneProf web services to load a dataset from GeneProf directly into an active R session for further downstream analysis.
Views: 103 fhx1013
BindingDB: Get all data from an article
 
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This tutorial describes the method of retrieving a binding information from an article of interest in BindingDB.
Views: 1347 George Nicola
Implementation of Automatic Semantic Content Extraction in Videos
 
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The fast development in the existing quantity of video data has caused a crucial need to develop intelligent approaches to model and extract the video content. High level features of videos are not sufficient to justify the user need. To extract contents from a video in a semantic level we need to go for low level features in videos. Using Fuzzy ontology we can't provide the user's a global extraction of video content by creating a model of domain independent any users can use the methodology globally. Now days, manual practices, which are ineffective, personally and expensively it's too high to maintain. Manual practices are not successful in achieving the low level extraction. Currently the extraction in videos is done in the use of color, texture, shape, sound, motion etc. these are not efficient to provide semantic level extraction. By extracting every single object and provides spatial and temporal relationship of the object with the events and concepts can easily help to achieve the semantic level in extraction. Introducing the domain independent ontology model which helps to provide the spatial and temporal relation between each object and its event and concept. It can be used globally in any domain of video and domain independent metatheory of ontology description provides wide-domain applicable permits the user to construct ontology for a given domain. By passing queries and comparing the data's between extracted content and domain ontology content, the content against the rule can be identified. While extracting the each video frame, by avoiding the repeated contents can increase the extraction speed. Frame size can be given by users to extract the granular data from the video.
Views: 243 Kamal Krg
Final Year Project IEEE 2016 |Domain-Specific Keyphrase Extraction and Near-Duplicate
 
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Final Year Project IEEE 2016 |Domain-Specific Keyphrase Extraction and Near-Duplicate Article Detection based on Ontology developed by igeeks technologies, banglaore, www.makefinalyearproject.com, Cal Mr.Nandu-09590544567
Query Analysis and Ontology based Cluster Data Management Hadoop Projects
 
12:20
Contact Best Hadoop Projects Visit us: http://hadoopproject.com/
Views: 42 Hadoop Solutions
Using Excel and VBA to get API data
 
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Tutorial on the use of Excel VBA to get 12 month LIBOR (USD) from Fed Reserved Economic Data site.
Views: 114718 Bane Data Solutions Ltd
How CLM Makes CVE Data More Useful" by Brian Fox
 
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CLM is an important addition to a developer's tool set when it comes to investigating the National Vulnerability Database (NVD). In this short segment, Brian Fox shows us how CLM's dashboard can be used to expose information that would be next to impossible to find through manual search of the NVD. From Brian Fox: Part of the curation that we do when we get the vulnerability is we trace it down to the root cause as best as we can. Usually, that will trace it down to the affected class files. By tracing it to the class files, we find out which component is broken. The curations that we do to take these vulnerabilities and apply them specifically to the affected components is really the only way to make this information actionable from a developer's standpoint. There's an impedance mismatch between the things that get reported in NVD and the things that the developers are actually choosing to use. What does CLM add? How is it different from the NVD? Why can't you just go NVD and pull up the data? The answer is you could, if you know exactly how to do it. It takes us between two and four hours on every single issue to actually do this research... and we are experts at it. Is this really the best use of your developer's time and resources? How confident are you that they are going to find the right answer? It's much easier to come up with a false negative and convince yourself that there isn't a vulnerability than it is to be positive that there isn't.
Views: 981 Sonatype
Paid Search Placement
 
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Experts Guide to Paid Search Placement
Views: 211 wsiworldwide
SSIS HTML Table Source - Web scraping without coding from any URL
 
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Learn how to extract HTML table content placed inside TABLE tags in few clicks and save data into SQL Server. Learn more http://zappysys.com/products/ssis-powerpack/ssis-html-table-source/ ================== Description: ================== SSIS HTML Table Source can be used for web scraping (extracting HTML table content placed inside TABLE tags). Many times valuable information stored on web pages and not available to download as traditional data file format. With this Component you can do Web content scraping to extract HTML data in few click without learning Complex APIs. β—ΎHTML Table scraping from any URL or HTML files stored locally (Direct URL mode or Read from SSIS variable) β—ΎSupport for scrapping multiple URLs and combining resultset β—ΎOptions to Skip Header rows footer rows β—ΎAutomatically detect groups β—ΎAutomatically assigns row number to extracted record β—ΎExtract HTML Table data by Table Number, CSS name used for TABLE tag or use XPath for very flexible scraping β—ΎPreview support without running actual package
Views: 3828 ZappySys
Automated Query Processing
 
07:27
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