semi-structured data sources
White paper FUJITSU Integrated System PRIMEFLEX for Hadoop
... of data from all the versatile data sources, no matter if structured, unstructured, semi-structured or poly-structured, which remained untapped in the past, much more ...
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A Framework for Extracting Information from Semi-Structured Web Data Sources
... similar to each other than are patterns belonging to different clusters (Fatima Ashraf et al 2008). Fatima Ashraf et al (2008) have employed clustering techniques for automatic information extraction from HTML documents ...
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Performance Evaluation of Redis and MongoDB Databases for Handling Semi structured Data
... information sources, from semi-organized or unstructured information things, and from managing unfinished information because of external ...store data in variety of formats because of an inflexible ...
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A Survey on Unsupervised Extraction of Product Information from Semi-Structured Sources
... It generates an XML document by applying the induced rule on the input page. From the displayed document, a user determines whether the current extraction rule correctly extracts required data from the source ...
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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 ...
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Extracting the Attributes of Entities from Semi Structured Information Using XSearch
... information sources of all kinds. The major models for semi-structured data exchange over distributed information sources are the Object Exchange Model, the Extensible Markup Language ...
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A SURVEY ON BIG DATA ISSUES
... Any data that can challenge the current technology in some way can consider as big ...is data whose scale, variety, and complexity require new architecture, algorithms, techniques and analytics to manage it ...
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Big data analytics vs Data Mining analytics
... big data is collection of varieties of data like structured data, unstructured data and semi structured data from unlimited ...of data more associations, ...
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White paper Solution Approaches for Big Data
... of data from all the various data sources, no matter if structured, unstructured, semi-structured or poly-structured, which remained untapped in the past, much more value ...
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Research on IT Architecture of Heterogeneous Big Data
... big data have the character- istics of multiple dimensions, multiple sources, structured + semi-structured + unstructured heterogeneous data and the huge amount of data, ...
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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 cannot be ...
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Fusion Architecture of Database for Large and Diverse Dataset
... relational data models displayed high performance while using small relational ...of data. Large volume and diverse variety of data cannot be properly handled using relational ...in data ...
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Analyzing Varieties of Agricultural Data Using Big Data Tools Pig
... day, data is growing rapidly. Analysis of the data is ...survey data generated in last 2 years is more than the data created in entire previous history of ...human. Data created in ...
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Reasons for low adherence to diet-diaries issued to pediatric dental patients: a collective case study
... Twenty-eight data sources across 11 appointments included: observation of dentist–patient interactions, semi-structured interviews with child–parent dyads and dentists, in addition to ...
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Analysis and Implementation of Text Mining for Different Documents
... Text mining process is data mining is an important task in today’s big data maintenance. When maintaining a huge collection of files, there are many issues and challenges are faced by day to day users. This ...
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Nurse-family partnership programme : first year pilot site implementation in England : pregnancy and the post-partum period
... Project Manager and supervisor posts stand alongside each other. This caused difficulties in some sites - difficulties that were addressed usually by the setting up of a regular meeting between them. In the FNP context ...
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A Graph Analytics Framework for Knowledge Discovery
... Although both supervised and unsupervised learning are widely used in discov- ering ontological concepts and relations, the majority of techniques that been used in ontology learning and knowledge discovery are still ...
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Prediction, Sentimental Analysis and Visualization of Static and Dynamic football data using Hadoop in a Multi-Node system
... of data are generated like structured, unstructured or semi-structured, maintain and processing such variety of data is not possible by ...dynamic data plays a very vital ...
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Big Data Analytics Framework in Cloud Computing
... In recent times, lack of interactivity has been known as a significant issue and several other efforts have been made in this area. Borthakur, Gray, Sarma, Muthukkaruppan, Spiegelberg, Kuang, Ranganathan, Molkov, Menon, ...
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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, including set expansion ...
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