Last edited by Dairn
Tuesday, August 11, 2020 | History

4 edition of High performance data mining found in the catalog.

High performance data mining

scaling algorithms, applications, and systems

by Yike Guo

  • 217 Want to read
  • 25 Currently reading

Published by Kluwer Academic in New York .
Written in English

    Subjects:
  • Parallel processing (Electronic computers),
  • Data mining

  • Edition Notes

    Statementedited by Yike Guo, Robert Grossman
    ContributionsNetLibrary, Inc
    Classifications
    LC ClassificationsQA76.9.D343 H54 2002eb
    The Physical Object
    Format[electronic resource] :
    Pagination105 p. :
    Number of Pages105
    ID Numbers
    Open LibraryOL25559244M
    ISBN 10030647011X
    OCLC/WorldCa50320897

    High performance data mining. In R. Ng (Ed.), Tutorial Notes of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD (pp. ). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; Vol. Part F). Association for Computing simplicityhsd.com by: 7. HighStream’ High-Performance Data Stream Mining Workshop. co-located with IEEE International Conference on Data Mining ICDM New Orleans, USA, November 18 - November 21,

    Kumar's foundational research in data mining and high performance computing has been honored by the ACM SIGKDD Innovation Award, which is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD), and the IEEE Computer Society Sidney Fernbach Award, one of IEEE Computer Society's highest. The aim of this is to promote and research on Data Mining projects that allows us to produce more valuable information to people of different areas of interest. The membersof the group work in fields so varied as ontologies, computer science or engineering software. HPP High Performance Processing. A book for popular science is writing.

    Dec 01,  · / High performance data mining - Application for discovery of patterns in the global climate system. High Performance Computing - HiPC - 14th International Conference, Proceedings. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).Cited by: 3. A complete overview of big data and its notable characteristics. Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases. Comprehensive coverage of data mining, text analytics, and machine learning algorithms.


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High performance data mining by Yike Guo Download PDF EPUB FB2

The objective of this book is to provide a historical and comprehensive view of the recent trend toward high-performance computing technologies, especially as it relates to big data analytics and high-performance data mining. The book also emphasizes the impact of big data on requiring a rethinking of every aspect of the analytics life cycle.

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Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

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Jan 31,  · High-performance algorithms Along with the growth of the dataset size, there is a steady requirement for high-performance associations/patterns mining algorithms. With the introduction of Hadoop and other MapReduce-like platforms to the world, there is a chance to meet these simplicityhsd.comed on: January 31, accommodate the size and malleability of the data.

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Caferella. JVM, and Spark is a high‐performance data mining environment from. tics, machine learning, high-performance computing, pattern recognition, neural networks, data visualization, information retrieval, image and signal processing, and spatial data analysis. (c) Explain how the evolution of database technology led to data mining.

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Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques.