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Storing RDF Data in Hadoop And Retrieval
Storing RDF Data in Hadoop And Retrieval

... and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure in the "cloud" that supports them. • Our research on Cloud Computing is based on Hadoop, MapReduce, Xen • Apache Hadoop is a Java ...
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... Under each of the three broad issues are lists of associated subtopics and concerns that, in various combinations, help to define the issues and provide guidance for the types of data that may be appropriate. Underlying each of the issues below is the theme of sustainability and the economic, social ...
Lecture notes
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A Survey of Logic Based Classifiers
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First Generation Fit - University of Richmond
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A thermodynamic analysis of the Ge-Ru system  
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Bakersfield City School District Mathematics UNIT 4 Grade 8
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Scrambled Data – A Population PK/PD Programming Solution
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Double-Take Move - Vision Solutions
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... Double-Take replication provides maximum efficiency over any network distance. Byte-level replication sends less data than block-level replication, and Double-Take Move includes LAN/WAN optimizations such as three levels of compression and bandwidth throttling. While the servers are kept in sync, th ...
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Selecting and Allocating Cubes in Multi
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Design of a Multi Dimensional Database for the Archimed - magic-5
Design of a Multi Dimensional Database for the Archimed - magic-5

... the evolution of the data content These design options constitute the main rules and act as a road map to follow when a new medical set of data (or data mart) is integrated to the system. Sticking to these decisions has enabled to ensure the coherence of the integrated data, long term scalability, a ...
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE

... 4. Continue finding the first child of each parent node and insert it below the parent child (1 mark) 5. When no more first children exist in the path just used, move back to the parent of the last node entered and determine the next sibling, then insert right to the previous left sibling (where sib ...
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Data analysis



Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes. Business intelligence covers data analysis that relies heavily on aggregation, focusing on business information. In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data and CDA on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All are varieties of data analysis.Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination. The term data analysis is sometimes used as a synonym for data modeling.
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