[PDF] Top 20 Very Fast Similarity Queries on Semi-Structured Data from the Web

Very Fast Similarity Queries on Semi-Structured Data from the Web

... the data graph of Figure 2 ...derived from the entity-tableColumn dataset links an entity name with an identifier for a table column in which the entity name ...derived from the Hyponym Concept ... See full document

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Collectively Representing Semi Structured Data from the Web

... Semi-structured data extracted from the web (in some cases extended with hyponym data derived from Hearst patterns like “X such as Y”) have been used in several tasks, ... See full document

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A Framework for Extracting Information from Semi-Structured Web Data Sources

... information from a natural language document and is a particular useful sub-area of Natural Language Processing ...sources from rigidly formatted documents such as HTML generated automatically from a ... See full document

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Title: EXTRACT AND ANALYSIS OF SEMI STRUCTURED DATA FROM WEBSITES AND DOCUMENTS

... of semi-structured database. Data Extraction Using DOM Tree and Selectors (DEUDS) a page level data extraction system that automatically discovers extraction pattern from web ... See full document

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An estimation model for hypertension drug demand in retail pharmacies with the aid of big data analytics

... Apart from well-formatted structured demand data, in our analysis we consider logical and systematic collection of semi- structured (meta)data from speciﬁc preexisting ... See full document

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An analysis and Implication of Data Mining Techniques using Semi structured Data towards clinical data sets

... of data mining is web mining. Web Mining is an active ...area. Web structure mining, web content mining and web usage mining are the classifications of Web ...the ... See full document

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An Analysis and Implication of Data Mining Techniques using Semi structured Data towards clinical data sets

... of data mining is web mining. Web Mining is an active ...area. Web structure mining, web content mining and web usage mining are the classifications of Web ...the ... See full document

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Heterogeneous Database Integration Using XML

... of data across any domain) in response to a user query continues to persist as a difficult ...heterogeneous data. A wrapper is a program that is specific to every data source, and translates the ... See full document

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BIG DATA ANALYSIS IN DATA MINING APPLICATIONS USING HADOOP

... of data and the size of the databases used in today’s enterprises has been growing at exponential ...rates. Data is generated through many sources like business processes, transactions, social networking ... See full document

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Online Full Text

... for semi-structured Languages that use user-defined tags like XML or other Markup languages are extremely growing because of the explosive increase of Internet usage, heterogeneous computing environments, ... See full document

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An Effective Approach to Extract Information from web pages

... Abstract: Web mining is one of the data mining techniques to extract relevant information from the web and to analyze users’ web browsing patterns to identify users’ web ... See full document

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Closing the Loop: Fast, Interactive Semi Supervised Annotation With Queries on Features and Instances

... university web pages of four types: course, faculty, project, and ...messages from 20 different online discussion ...All data sets were processed using lowercased unigram features, with punctuation ... See full document

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Research on IT Architecture of Heterogeneous Big Data

... big data processing, and its famous modules of Bigtable [1], GFS, MapReduce cause the many commercial systems and open source tools ...distributed structured data storage system, which is designed to ... See full document

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Big data analytics vs Data Mining analytics

... Big data is collection of complex, large varieties of data set – structured, unstructured and semi structured data that is arriving continuously at high velocity and have ... See full document

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Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi Document Inputs

... the web search that have the largest overlap with the question and created a TF- IDF extraction of about 850 words as input for Seq2Seq ...question from the 100 web search ...content from ... See full document

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Prediction, Sentimental Analysis and Visualization of Static and Dynamic football data using Hadoop in a Multi-Node system

... of data generation let's take Twitter into ...of data per year to be more precise, it generates approximately 1 TB of data per week which are in the form of ...is very difficult for a ... See full document

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Big Data Analytics Framework in Cloud Computing

... In the past forty years, information was primarily used to record and report business activities and scientific dealings, and within the next 40 years information are used conjointly to influence business decisions and ... See full document

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Ontological Semi Automatic Method for Web Data Tables Integration

... a semi- automatic process from web data ...cosine similarity for filtering the ...concerning data integration. The data warehouse is composed of several data tables ... See full document

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Forensic accounting. Data analytics

... “We all know that if you want to commit fraud, you’re not going to write [in an email] ‘I’m about to make an inside trade’,” says Eric Young, Partner of Fraud Investiga- tion and Dispute Services Greater China at EY Hong ... See full document

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Analyzing Varieties of Agricultural Data Using Big Data Tools Pig

... the data is necessity for the many organization. Data created in different form and in diversified ...be structured, it can be semi-structured, or it can be ...agricultural data ... See full document

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