Search results “Xml retrieval in web mining definition”
XML Database
Subject:Computer Science Paper: Database management system
Views: 324 Vidya-mitra
Intro to Web Scraping with Python and Beautiful Soup
Web scraping is a very powerful tool to learn for any data professional. With web scraping the entire internet becomes your database. In this tutorial we show you how to parse a web page into a data file (csv) using a Python package called BeautifulSoup. In this example, we web scrape graphics cards from NewEgg.com. Sublime: https://www.sublimetext.com/3 Anaconda: https://www.continuum.io/downloads#wi... -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 3600+ employees from over 742 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f6wzS0 See what our past attendees are saying here: https://hubs.ly/H0f6wzY0 -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... Vimeo: https://vimeo.com/datasciencedojo
Views: 442886 Data Science Dojo
XML Databases
Subject:Computer Science Paper: Database management system
Views: 117 Vidya-mitra
inex evaluating content oriented xml retrieval
Subscribe today and give the gift of knowledge to yourself or a friend inex evaluating content oriented xml retrieval INEX: Evaluating content-oriented XML retrieval . Mounia Lalmas Queen Mary University of London http://qmir.dcs.qmul.ac.uk. Outline. Content-oriented XML retrieval Evaluating XML retrieval: INEX. XML Retrieval. Slideshow 3032181 by kyrene show1 : Inex evaluating content oriented xml retrieval show2 : Outline show3 : Xml retrieval show4 : Structured documents show5 : Structured documents1 show6 : Xml e x tensible mark up l anguage show7 : Xml e x tensible mark up l anguage1 show8 : Querying xml documents show9 : Content oriented xml retrieval show10 : Content oriented xml retrieval1 show11 : Challenges show12 : Approaches show13 : Vector space model show14 : Language model show15 : Evaluation of xml retrieval inex show16 : Inex test collection show17 : Tasks show18 : Relevance in xml show19 : Relevance in inex show20 : Relevance assessment task show21 : Interface show22 : Assessments show23 : Metrics show24 : Inex 2002 metric show25 : Inex 2002 metric1 show26 : Overlap problem show27 : Inex 2003 metric show28 : Inex 2003 metric1 show29 : Inex 2003 metric2 show30 : Inex 2003 metric3 show31 : Inex 2003 metric4
Views: 42 slideshowing
Find the notes of INFORMATION RETRIEVAL on this link - https://viden.io/knowledge/information-retrieval?utm_campaign=creator_campaign&utm_medium=referral&utm_source=youtube&utm_term=ajaze-khan-1
Views: 8617 LearnEveryone
Lecture -40 XML Databases
Lecture Series on Database Management System by Dr.S.Srinath IIIT Bangalore . For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 36529 nptelhrd
Retrieve text from a html document with XML package of R
Brief demonstration of XML package of R. Easy way to extract text by defining tags of html.
Views: 6157 Yuki
What is Web Crawling || Urdu/Hindi
We are the best web and mobile development organization in Germany that is inspired by cause to transform the thoughts into the reality. We build up the sites and portable applications that make the regularly enduring impressions and life-changing experiences. How about transforming the ideas into the greatest developments? Let's do it together.
Views: 1168 MS Technologies
A Survey of XML Tree Patterns.
Android projects are Available at: Softmerge Solutions Pvt Ltd. Hyderabad Contact:N.BHARGAV 9493049639,04065745230
Views: 92 krishna sms
information retrieval
Subscribe today and give the gift of knowledge to yourself or a friend information retrieval Information Retrieval. Content. Introduction to IR Problem definition Characteristics of text data IR Models Evaluation Implementation Text Classification Web IR Crawling Link analysis. Information Retrieval (IR). The indexing and retrieval of textual documents. Slideshow 3034234 by wan show1 : Information retrieval show2 : Content show3 : Information retrieval ir show4 : Typical ir task show5 : Ir system show6 : Ir system architecture show7 : Ir system components show8 : Ir system components continued show9 : Web search show10 : Web search system show11 : Other ir related tasks show12 : History of ir show13 : Ir history continued show14 : Ir history continued1 show15 : Ir history continued2 show16 : Recent ir history show17 : Recent ir history1 show18 : Related areas show19 : Boolean and vector space retrieval models show20 : Retrieval models show21 : Classes of retrieval models show22 : Boolean model show23 : Boolean retrieval model show24 : Boolean models problems show25 : Statistical models show26 : Statistical retrieval show27 : Issues for vector space model show28 : The vector space model show29 : Graphic representation show30 : Document collection show31 : Term weights term frequency
Views: 579 slideshowing
Using Personalization to Improve XML Retrieval
As the amount of information increases every day and the users normally formulate short and ambiguous queries, personalized search techniques are becoming almost a must. Using the information about the user stored in a user profile, these techniques retrieve results that are closer to the user preferences. On the other hand, the information is being stored more and more in an semi-structured way, and XML has emerged as a standard for representing and exchanging this type of data. XML search allows a higher retrieval effectiveness, due to its ability to retrieve and to show the user specific parts of the documents instead of the full document. In this paper we propose several personalization techniques in the context of XML retrieval. We try to combine the different approaches where personalization may be applied: query reformulation, re-ranking of results and retrieval model modification. The experimental results obtained from a user study using a parliamentary document collection support the validity of our approach.
What is an Ontology
Description of an ontology and its benefits. Please contact [email protected] for more information.
Views: 142719 SpryKnowledge
text mining, web mining and sentiment analysis
text mining, web mining
Views: 1525 Kakoli Bandyopadhyay
Information Retrieval & Extraction
Slides 2-6
Views: 23 Sgabriel136
PDF Data Extraction and Automation 3.1
Learn how to read and extract PDF data. Whether in native text format or scanned images, UiPath allows you to navigate, identify and use PDF data however you need. Read PDF. Read PDF with OCR.
Views: 117581 UiPath
Web crawlers and web information retrieval In Hindi
Know about web crawlers and web information retrieval In Hindi
Mansi Sheth (Veracode Inc): Building Security Analytics solution using Native XML Database
Mansi Sheth (Veracode Inc) The trove of ever-expanding metadata we are collecting on a daily basis, poses us with the challenge of mining information out of this data-store, to help drive our business analytics solutions. Most non-destructive format of these metadata is in XML formats, so it became crucial to use a technology, which provides sophisticated support for XML specific query technologies. This paper will discuss how Veracode is using Native XML Databases(NxD) tool BaseX, to solve various use cases across multiple departments. It will discuss in depth, how its incorporated, its architecture and eco-system. It will also touch base on lessons learned along the way, including approaches which were tried and didn’t work so well. http://www.xmlprague.cz/sessions2015/#secanalytics
Views: 204 XMLPrague
Excel Magic Trick 1336: Power Query: Import Big Data Text Files: Connection Only or Data Model?
Download File: http://people.highline.edu/mgirvin/excelisfun.htm See how to use Import 10 Text Files and Append (combine) then into a single Proper Data Set before making a PivotTable Report. Compare and Contrast whether we should use Connection Only or Data Model to store the data. 1. (00:18) Introduction & Look at Text Files that Contain 7 Million Transactional Records 2. (01:43) Power Query (Get & Transform) Import From Folder to append (combine) 10 Text Files that contain 7 Millions transactional records. 3. (05:07) Load Data as Connection Only and Make PivotTable 4. (08:17) Load Data into Data Model and Make PivotTable. 5. (10:46) Summary
Views: 27033 ExcelIsFun
Mining Knowledge from Databases: An Information Network Analysis Approach
Most people consider a database is merely a data repository that supports data storage and retrieval. Actually, a database contains rich, inter-related, multi-typed data and information, forming one or a set of gigantic, interconnected, heterogeneous information networks. Much knowledge can be derived from such information networks if we systematically develop an effective and scalable database-oriented information network analysis technology. In this talk, we introduce database-oriented information network analysis methods and demonstrate how information networks can be used to improve data quality and consistency, facilitate data integration, and generate interesting knowledge. Moreover, we present interesting case studies on real datasets, including DBLP and Flickr, and show how interesting and organized knowledge can be generated from database-oriented information networks
Views: 69 Microsoft Research
What is web personalization?
Learn more about web personalization and what it can do for you. https://www.persosa.com/whitepapers/what-is-personalization
Views: 519 Persosa
Web Spiders Kya Hote Hai ? / What is Web Crawler Explained In Hindi
Namaskar Dosto !! aaj main aapko web spiders ya crawlers ke bare me bataunga ki ye kya hote hai aur kaise kaam karte hai aasha karta hu apko ye video apsand ayegi. is video ko like kare aur apne dosto ke sath share kare. agar aap naye hai to is channel ko subscribe karna na bhule. Subscribe to my channel for more videos like this and to support my efforts. Thanks and Love #TechnicalSagar LIKE | COMMENT | SHARE | SUBSCRIBE ---------------------------------------------------------------------------------- For all updates : LIKE My Facebook Page https://www.facebook.com/technicalsagarindia Follow Me on Twitter : http://www.twitter.com/iamasagar Follow Abhishek Sagar on Instagram: theabhisheksagar
Views: 33327 Technical Sagar
How to Create a Web Query in Excel to Get Current Data
In addition to using the standard, Select, Copy & Paste process, you can create a Web Query in Excel. The advantage of the Web Query is that when you "Refresh" it, you now have access to the most current information - without leaving Excel. Web Queries are great for setting up a system to gather the most current Sports Scores, Stock Prices or Exchange Rates. Watch as I demonstrate the process to follow to set this up in Excel. I invite you to visit my online shopping website - http://shop.thecompanyrocks.com - to see all of the resources that I offer you. Danny Rocks The Company Rocks
Views: 229490 Danny Rocks
Automate Web Data Extraction - UiPath Studio
Web scraping is a very tedious task for most website owners and developers. In this video, we'll discuss how to use UiPath in automating data extraction from a website. Using these steps, we can scrape data out of multiple web pages in few minutes by making just a few simple steps to define web extraction patterns. To find out more about UiPath or to request a free trial, please contact us: http://www.uipath.com/contact-us.
Views: 61114 UiPath
In this video I demonstrate a 100% free software program called Web Crawler Simple. Find out more about this free web crawler software and/or download the software at http://affiliateswitchblade.com/blog/100-free-web-crawler-software-for-windows/ or http://affiliateswitchblade.com/blog/freewebcrawler The purpose of this software program used to crawl any website you wish extracting and listing every single page that makes of that website including pages with the no index and no follow directive. Although I a lot of people will download the software to use as a site map maker, as a side note, one of the benefits of this software is, because it reveals pages that have the noindex, no followed directives, quite often, these pages contain links to software programs, ebooks, and other digital content that the website owner normally sells because the noindex and nofollow directive is for the search engines telling the search engines to please not list these pages in search results - meaning the website owner wants to hide these pages from public view. Web Crawler Simple reveals these pages to you. How to use Web Crawler Simple Free Website Crawler The name, Web Crawler Simple, a very appropriate name for this software program because the software couldn't be easier to use. ❶ Enter the URL of the website you wish to crawl and extract all the pages from. ❷ Click the crawl button. When the software program has finished crawling the entire web site extracting all the web pages that make up that website you can... ❶ Save all the web pages in a text file. ❷ Save them as a urllist.txt. ❸ Save them as Sitemap.xml. http://www.affiliateswitchblade.com - Giant Array of Affiliate Marketing Software Tools including Link Cloaker, Content Spinner, Account Creator, Disposable Email and much more! free web crawler windows, free web crawler windows 7, free web crawler software for windows, free download win web crawler, free web crawler tools, web crawler tool free download, top free web crawler, free web crawler software, free web crawler software download, free web crawler software for windows, free web crawler script, free web crawler service,
Views: 14369 Affiliate Switchblade
A RESTful JSON-LD Architecture for Unraveling Hidden References to Research Data
Talk by Konstantin Baierer and Philipp Zumstein, Mannheim University Library, Germany. Title: A RESTful JSON-LD Architecture for Unraveling Hidden References to Research Data Abstract: Data citations are more common today, but more often than not the references to research data don't follow any formalism as do references to publications. The InFoLiS project makes those "hidden" references explicit using text mining techniques. They are made available for integration by software agents (e.g. for retrieval systems). In the second phase of the project we aim to build a flexible and long-term sustainable infrastructure to house the algorithms as well as APIs for embedding them into existing systems. The infrastructure's primary directive is to provide lightweight read/write access to the resources that define the InFoLiS data model (algorithms, metadata, patterns, publications, etc.). The InFoLiS data model is implemented as a JSON schema and provides full forward compatibility with RDF through JSON-LD using a JSON-to-RDF schema-ontology mapping, reusing established vocabularies whenever possible. We are neither using a triplestore nor an RDBMS, but a document database (MongoDB). This allows us to adhere to the Linked Data principles, while minimizing the complexity of mappings between different resource representations. Consequently, our web services are lightweight, making it easy to integrate InFoLiS data into information retrieval systems, publication management systems or reference management software. On the other hand, Linked Data agents expecting RDF can consume the API responses as triples; they can query the SPARQL endpoint or download a full RDF dump of the database. We will demonstrate a lightweight tool that uses the InFoLiS web services to augment the web browsing experience for data scientists and librarians. SWIB15 Conference, 23 – 25 November 2015, Hamburg, Germany. http://swib.org/swib15 #swib15
Views: 588 SWIB
bpmNEXT 2013: Extreme BPMN: Semantic Web Leveraging BPMN XML Serialization
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.
Acquire unstructured data using the Mongo DB data access extension: SAP Lumira 1.28
SAP Lumira enables us to acquire non-traditional data sources by taking advantage of data access extensions. In this video, we’ll install the extension for MongoDB, which stores data in documents, and acquire a dataset based on bitcoin transactions.
Views: 1305 SAPAnalyticsTraining
IU X-Informatics Unit 21:Web Search and Text Mining 9: Vector Space Models I
Lesson Overview: Vector Space models are attractive as they use techniques that align with many other Big data analytics. basically we view the bag (of words) as a vector. An example is given. Closeness such as with cosine measure can be defined and its features are analyzed. This measure is generalized to the famous TF-IDF measure. Enroll in this course at https://bigdatacourse.appspot.com/ and download course material, see information on badges and more. It's all free and only takes you a few seconds.
04 Importing Data in RapidMiner Studio
Download the sample tutorial files at http://static.rapidminer.com/education/getting_started/Follow-along-Files.zip
Views: 13345 RapidMiner, Inc.
D2I - Efficient Association Discovery with Keyword-based Constraints on Large Graph Data
Abstract: In many domains, such as social networks, cheminformatics, bioinformatics, and health informatics, data can be represented naturally in graph model, with nodes being data entries and edges the relationships between them. The graph nature of these data brings opportunities and challenges to data storage and retrieval. In particular, it opens the doors to search problems such as semantic association discovery and semantic search. Our group studied the application requirements in these domains and find that discovering Constrained Acyclic Paths (CAP) is highly in demand, based on such studies, we define the CAP search problem and introduce a set of quantitative metrics for describing keyword-based constraints. In addition, we propose a series of algorithms to efficiently evaluate CAP queries on large scale graph data. In this talk, I will focus on two main aspects of our study: (1) what's CAP query and how to express CAP queries in a structured graph query language; and (2) how to efficiently evaluate CAP queries on large graph data. Bio: Professor Wu completed her Ph.D. in Computer Science from the University of Michigan, Ann Arbor. She earned her M.S. degree from IU Bloomington in December 1999 and an M.S./B.S. degree from Peking University, China. Dr. Wu completed research internships at IBM Almaden Research Center as well as Microsoft Research in 2002 and 2003. Prof. Wu joined IU in 2004, and is currently an Associate Professor of Computer Science, of the School of Informatics and Computing. She is one of the founders of the TIMBER, a high performance native XML database system capable of operating at large scale, through use of a carefully designed tree algebra and judicious use of novel access methods and optimizations techniques. Her research in the Timber project focused on XML data storage, query processing and optimization, especially cost-based query optimization. Prof. Wu's recent research at Indiana University involves algebra for XML queries, normalization, indexing and the security of XML data repositories, the storage and query of data on the Semantic Web and association discovery. Her past research projects include Access Control for XML (ACCESS), which focused on developing a framework for flexible access constraint specification, representation and efficient enforcement. Prof. Wu is also involved in research related to data integration, data mining, and knowledge discovery.
Views: 110 IU_PTI
Personal Search Engines for Multimedia Information Retrieval
A Survey on Content Based Video Analysis: IN4314 Seminar Selected Topics in Multimedia Computing (2010-2011 Q3) at Delft University of Technology. Survey talk on the topic of personal multimedia search by Ankur Sharma.
Views: 815 M. Larson
Context Based Diversification for Keyword Queries Over XML Data
2015 IEEE Transaction on Knowledge and Data Engineering For More Details::Contact::K.Manjunath - 09535866270 http://www.tmksinfotech.com and http://www.bemtechprojects.com Bangalore - Karnataka
Views: 881 manju nath
UiPath Web Automation | Automate Web Data Extraction - UiPath Studio | UiPath Training | Edureka
** RPA Training - https://www.edureka.co/robotic-process-automation-training ** This Edureka video on "UiPath Web Automation" will help you know how to automate web using UiPath. Below are the topics covered in this UiPath Web Automation: 1. Data Extraction in UiPath 2. Recording in UiPath 3. Website Testing 4. Report Generation in UiPath 5. Application Transfer 6. Hands On - Web Scraping of Google Contacts Subscribe to our channel to get video updates. Hit the subscribe button above. How it Works? 1. This is a 4 Week Instructor led Online Course, 25 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka’s RPA training makes you an expert in Robotic Process Automation. Robotic Process Automation is Automation of repetitive and rule-based tasks. In Edureka's RPA online training, you will learn about the RPA concepts and will gain in-depth knowledge on UiPath tool using which you can automate the data extraction from the internet, login process, image recognition process and many more. After completing the RPA Training, you will be able to: 1. Know about Robotic Process Automations and how it works 2. Know about the patterns and key considerations while designing a RPA solution 3. Know about the leading RPA tool i.e. UiPath 4. Gain practical knowledge on designing RPA solutions using both the tools 5. Perform Image and Text automation 6. Create RPA bots and perform data manipulation 7. Debug and handle the exceptions through the tool - - - - - - - - - - - - - - Why learn Robotic Process Automation? Robotic Process Automation (RPA) is an automation technology for making smart software by applying intelligence to do high volume and repeatable tasks that are time-consuming. RPA is automating the tasks of wide variety of industries, hence reducing the time and increasing the output. Some of facts about RPA includes: 1. A 2016 report by McKinsey and Co. predicts that the robotic process automation market could be worth $6.7 trillion by 2025 2. A major global wine business, after implementing RPA, increased the order accuracy from 98% to 99.7% while costs reduced to Rs. 5.2 Crore 3. A global dairy company used RPA to automate the processing and validation of delivery claims, reduced goodwill write-offs by Rs. 464 Million For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 17106 edureka!
Web Scraping Using PHP - Parse IMDB.com Movies HTML
Using PHP and regular expressions, we're going to parse the movie content of IMDB.com and save all the data in one single array. Web scraping using regex can be very powerful and this video proves it. We account for empty elements by matching groups of HTML blocks, looping through the blocks of matched content and then matching single elements, if they're found from the block. This technique of matching content and web scraping can be used on just about any web site to parse out it's content. ````````````````````````````````````````````````````````````````````````````````````````````` Hey guys, I'm now using Patreon to share improved and updated video lesson material. For a small fee you can access all the downloadable files from this lesson (source code, icons & graphics, cheat sheets) and everything else included in the video from the Patreon page. Additionally, you will get access to ALL Clever Techie videos in HD format with no ads. Thank you so much for supporting Clever Techie :) Download this video's files here: https://www.patreon.com/posts/web-scraping-php-20819046 This download (Patreon unlock) includes: (PHP regex function source code, PHP regex screen shots, PHP regex cheat sheet) + ( You also get access to ALL source code and any downloadable content of ALL Clever Techie videos, as well as access to ALL videos in HD 1080p quality format with all video ads removed! ) ````````````````````````````````````````````````````````````````````````````````````````````` In this web scraping tutorial we’re going to be using regular expressions to parse HTML. This is a more advanced tutorial so you can check out my video on regular expressions before going through this. We’re going to be parsing out the IMDb website, which is an Internet movie database, and I’m going to be using a website called www.regex101.com to test regular expressions against strings to make sure we’re matching them correctly. Because this is an advanced tutorial, I’ll be posting each portion of code and explaining how it works as we walk through it. Directly below is the full source code, but skip down further and I'll walk through each portion of the code. ````````````````````````````````````````````````````````````````````````````````````````````` ( Website ) https://clevertechie.com - PHP, JavaScript, Wordpress, CSS, and HTML tutorials in video and text format with cool looking graphics and diagrams. ( YouTube Channel ) https://www.youtube.com/c/CleverTechieTube ( Google Plus ) https://goo.gl/J71p6f - clever techie video tutorials. ( Facebook ) https://www.facebook.com/CleverTechie/ ( Twitter ) https://twitter.com/theclevertechie
Views: 42193 Clever Techie
Excel VBA Pull Data From A Website
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: 404804 DontFretBrett
Data Integration and Data Exchange
Google TechTalks March 24, 2006 Alan Nash ABSTRACT I will discuss two fundamental problems in information integration: (1) how to answer a query over a public interface which combines data from several sources and (2) how to create a single database conforming to the public interface which combines data from several sources. I consider the case where the sources are relational databases, where the public interface is a public schema (a specification of the format of a database), and where the sources are related to the public schema by a mapping that is specified by constraints.
Views: 2666 Google
Tutorial to improve Anki Workflow by Adding Words Quickly by Using AutoHotkey
The concept of utilizing Anki gets complicated when you encounter a difficult word while browsing on your computer. This software automates the process of adding the word, the sentence and meaning quickly to Anki. Additional features include retrieving meaning from oxford dictionary and images related to the word from two sources if available. ===================== Download project: https://goo.gl/AGMDRK Download Autohotkey: https://goo.gl/UAtJ2w Download Anki: https://goo.gl/P1u2Ku
Views: 270 CodeHealthy
bpmNEXT 2013: Process Mining: Discovering Process Maps from Data
Anne Rozinat and Christian W. Gunther, Fluxicon Most organizations have complex processes that are invisible, thus hard to manage or improve. Each stakeholder sees only part of the process. Manual discovery through workshops, interviews, and review of existing documentation is costly and time-consuming, and rarely reflects actual process complexity. Process mining closes this gap by making the real process visible. Our process mining software Disco leverages existing IT data to generate a complete, accurate picture of the process, with actionable insight. Disco automatically analyzes actual process flows, highlights bottlenecks, shows all variants, and allows animated "replay" of the process flow, all done interactively, driven by process questions. Anne Rozinat has more than eight years of experience with process mining technology and obtained her PhD cum laude in the process mining group of Prof. Wil van der Aalst at the Eindhoven University of Technology in the Netherlands. Currently, she is a co-founder of Fluxicon and blogs at http://www.fluxicon.com/blog/. Christian W. Günther is a process mining pioneer. He has laid essential technical foundations as lead architect of the scientific process mining platform ProM, and introduced the map metaphor to process mining in his PhD thesis. His "Fuzzy Mining" approach is the predominant process mining algorithm in practical use today.
A Survey of XML Tree Patterns
2013 IEEE- A Survey of XML Tree Patterns Ecway Technologies...Cell: +91 98949 17187.
Views: 74 Ecway Karur
Matthias Nicola on XML in the Data Warehouse
Matthias Nicola speaks about XML in the Data Warehouse at the IDUG North America 2009 Conference in Denver, Colorado.
Views: 265 Conor O'Mahony
Introduction to XML | Business Analytics with R | XML Tutorial | XML Tutorial for Beginners |Edureka
( R Training : https://www.edureka.co/r-for-analytics ) R is one of the most popular languages developed for analytics, and is widely used by statisticians, data scientists and analytics professionals worldwide. Business Analytics with R helps you to strengthen your existing analytics knowledge and methodology with an emphasis on R Programming. Topics covered in the Video: 1.Installing xml Library 2.Running Programs in R Related Posts: http://www.edureka.co/blog/introduction-business-analytics-with-r/?utm_source=youtube&utm_medium=referral&utm_campaign=introduction-to-r Edureka is a New Age e-learning platform that provides Instructor-Led Live Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. The topics, related to Introduction to XML, have been widely covered in our course ‘Business Analytics with R’. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 6238 edureka!
Clustering with Multi-Viewpoint based Similarity Measure  2011 ieee project
for projects visit www.projects9.com more than 5000 projects
Views: 514 projectsnine
Data-Driven Progressive Web Apps (GDD India '17)
In this ILT session Sarah Clark will teach you how to use Workbox and IndexedDB together to make an offline-first, data-driven Progressive Web App (PWA). You’ll also use Background Sync to sync your app with the server even when your web app is closed. Workbox: https://goo.gl/sarNwq IndexedDB: https://goo.gl/vY2HrE Background Sync: https://goo.gl/1YTuHv Codelabs: https://goo.gl/p2MkTh Feedback: https://goo.gl/rhNszx More from Sarah Clark at GDD India: Progressive Web Apps: What, Why and How? (GDD India '17): https://goo.gl/j5pXUj Integrating AMP into PWA (GDD India '17): https://goo.gl/RwRzxS Check out the ‘All Sessions’ playlist for the rest of the talks that were given at GDD India ’17: https://goo.gl/WQJ521 Visit the GDD India site: https://goo.gl/VH2ktr Subscribe to the Google Developers India channel: https://goo.gl/KhLwu2 For more updates, follow us at: https://twitter.com/GoogleDevsIN
What is Web personalization
http://my.brainshark.com/What-is-Web-personalization-959199105 -
Views: 49 fusion brisbane
Data mining and text analytics and noisy text analytics techniques are different methods used to find patterns in, or otherwise interpret, this information. Common techniques for structuring text usually involve manual tagging with metadata or Part-of-speech tagging for further text mining-based structuring. UIMA provides a common framework for processing this information to extract meaning and create structured data about the information. Software that creates machine-processable structure exploits the linguistic, auditory, and visual structure that is inherent in all forms of human communication.[5] This inherent structure can be inferred from text, for instance, by examining word morphology, sentence syntax, and other small- and large-scale patterns. Unstructured information can then be enriched and tagged to address ambiguities and relevancy-based techniques then used to facilitate search and discovery. Examples of "unstructured data" may include books, journals, documents, metadata, health records, audio, video, files, and unstructured text such as the body of an e-mail message, Web page, or word processor document. While the main content being conveyed does not have a defined structure, it generally comes packaged in objects (e.g. in files or documents, ...) that themselves have structure and are thus a mix of structured and unstructured data, but collectively this is still referred to as "unstructured data".[6] For example, an HTML web page is tagged, but HTML mark-up is typically designed solely for rendering. It does not capture the meaning or function of tagged elements in ways that support automated processing of the information content of the page. XHTML tagging does allow machine processing of elements although it typically does not capture or convey the semantic meaning of tagged terms. Since unstructured data is commonly found in electronic documents, the use of a content or document management system through which entire documents are categorized is often preferred over data transfer and manipulation from within the documents. Document management is thus the means to convey structure onto document collections. FOR MORE INFORMATION VISIT US AT http://www.seocertification.org.in/ http://www.seocertification.org.in/seo-training.php http://www.seocertification.org.in/sem-training.php http://www.seocertification.org.in/ppc.php http://www.seocertification.org.in/books.php http://www.seocertification.org.in/online-examination.php
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Lecture Series on Database Management System by Dr.S.Srinath, IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
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Denodo VDP: Creating custom functions from ITP wrappers HD
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What is Web personalization
http://my.brainshark.com/What-is-Web-personalization-798981137 - Web personalization technology
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