Last edited by Tell
Saturday, August 8, 2020 | History

4 edition of Visual support for query specification and data mining found in the catalog.

Visual support for query specification and data mining

by Daniel Keim

  • 106 Want to read
  • 20 Currently reading

Published by Verlag Shaker in Aachen .
Written in English

    Subjects:
  • Database management.,
  • Databases.

  • Edition Notes

    Includes bibliographical references (p. [225]-237) and index.

    StatementDaniel Keim.
    SeriesBerichte aus der Informatik,
    Classifications
    LC ClassificationsQA76.9.D3 K3589 1995
    The Physical Object
    Pagination243 p. :
    Number of Pages243
    ID Numbers
    Open LibraryOL631213M
    ISBN 103826505948
    LC Control Number96232609
    OCLC/WorldCa33091696

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Visual support for query specification and data mining by Daniel Keim Download PDF EPUB FB2

KEIM, Daniel, Visual support for query specification and data mining [Dissertation]. München: Universität. Aachen: Shaker. ISBN Data Mining Extensions (DMX) Reference. 06/07/; 4 minutes to read; In this article.

APPLIES TO: SQL Server Analysis Services Azure Analysis Services Power BI Premium Data Mining Extensions (DMX) is a language that you can use to create and work with data mining models in Microsoft SQL Server Analysis :// Queries are built using timeboxes: a powerful graphical, direct-manipulation metaphor for the specification of queries over time-series datasets.

These timeboxes support interactive formulation and modification of queries, thus speeding the process of exploring time-series data sets and guiding data   Chapter Data Warehousing and Data Mining Table of contents • Objectives • Context – Query tools vs.

data mining tools to ensure that heterogeneous data will conform to the same specification and requirement of the data :// In a high level query and data manipulation language such as SQL, requests are stated non-procedurally, without reference to access paths.

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Other features include drag-and-drop support for query-by-example and graphical envelopes for displaying the extent of the entire data set and result set from a given query. Learning Historian While simulations seem to be useful, we still need to understand how these environments can be designed to effectively promote Visual support for query specification and data mining book   Data Mining i About the Tutorial Data Mining is defined as the procedure of extracting information from huge sets of data.

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