[PDF] Top 20 Collectively Representing Semi Structured Data from the Web
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Collectively Representing Semi Structured Data from the Web
... We presented a novel low-dimensional representa- tion for entities on the Web using Power Iteration Clustering. Our experiments show encouraging re- sults on using this representation for three different tasks : ... 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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Abstract In this era data are continuously acquired for a variety of purposes. Data are generated
... of data. These include a long list of data such as documents, emails, social media text messages, video, still images, audio, graphs, and the output from all types of machine-generated data ... See full document
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OpenCeres: When Open Information Extraction Meets the Semi Structured Web
... Drama”) and (“Sub-Genres”, “Reunion Films”) have an edge weight of 2.1 since the latter’s hori- zontal distance is ten times greater than the former. To speed up propagation, we keep only the 10 top-weighted edges for ... See full document
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Heterogeneous Database Integration Using XML
... of data (or meta-data) is available, query-language syntax is known, and the type and format of results are well-defined and hence they can be retrieved programmatically ...of web repositories, ... 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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A SURVEY ON BIG DATA ISSUES
... c. Data Variety: Big data is totally different consisting of structured (machine generated, web log data, point-of-sale data, financial data), semi ... See full document
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Natural Language Query Refinement for Problem Resolution from Crowd Sourced Semi Structured Data
... information from a caller to resolve her problem in the shortest amount of time? Finally, for rapid prototyping and deployment, we develop a system and architecture that does not use any form of labeled ... See full document
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BIG DATA ANALYSIS IN DATA MINING APPLICATIONS USING HADOOP
... of data mining and cloud computing and mining is the process of extracting structured information from unstructured or semi-structured web data ...of data which ... See full document
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Big Data Analytics Framework in Cloud Computing
... Big-data computing is probably the largest innovation in computing within the last decade. We’ve only begun to envision its potential to gather, organize, and process data in all walks of life. Cloud ... 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
... Abstract: In today's world huge amounts of data is present in the form of Datasets (Structured) and Twitter Dumps, logs (unstructured). These datasets are petabytes and zettabytes in size. Querying these ... See full document
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Unified Big Data Lambda Architecture with Hadoop / Flume / Spark SQL, Streaming / Scala / Cassandra
... 2011 from JNTU, Hyderabad, AP, ...administration from Red Hat Linux India and Novel Netware and awarded the CMS Network Specialist ...Big Data, Artificial Intelligence, Design & Analysis of ... See full document
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Land expropriation compensation among multiple stakeholders in a mining area: explaining “skeleton house” compensation
... role from one whereby it promotes coal mining at almost any cost in order to meet economic and urbanisation targets, to one which protects the rights of farmers to fair compensation and comparable livelihood ... See full document
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English Language Use In Ethiopia : Challenges and Directions
... In the past few years, some studies have tried to address linguistic issues andthe multifaceted problems challenging the teaching and use of English language in Ethiopia. For instance, Cohen (2007) claims that students’ ... See full document
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Improving professional IT doctorate completion rates
... work from the first year (as is the case now with the new DIT structure), it would have shown him that his work was valued, it would have meant that he could in-part fulfill the purpose he had for doing the DIT ... See full document
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Multidimensional Modeling of Semi-Structured Data: XML Documents and Tweets
... The Dimensions represent the axes of multidimensional analysis. They reflect information according to which subjects of analysis will be analyzed. A dimension is composed of attributes. Each attribute represents one ... See full document
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Python for Finance Analyze Big Financial Data {TechieAce} pdf
... many data sets embody time series data, which generally is visualized by such ...series data in ...two-dimensional data set and illustrate some alternative, and for financial applications ... See full document
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An Assessment on the Impact of Road Traffic Accidents on Human Security in Gedeo Zone Ethiopia
... involvement in vehicle accidents. Families are deemed to be another hidden victim of road traffic accidents, and requires care and assistance the same as road traffic accidents victims or survivors (Livingstone and ... See full document
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