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Tuesday, July 28, 2020 | History

5 edition of Data warehousing and knowledge discovery found in the catalog.

Data warehousing and knowledge discovery

DaWaK 2001 (2001 Munich, Germany)

Data warehousing and knowledge discovery

third international conference, DaWaK 2001, Munich, Germany, September 5-7, 2001 : proceedings

by DaWaK 2001 (2001 Munich, Germany)

  • 145 Want to read
  • 7 Currently reading

Published by Springer-Verlag in Berlin, New York .
Written in English

    Subjects:
  • Data warehousing -- Congresses,
  • Database searching -- Congresses

  • Edition Notes

    Includes bibliographical references and index.

    StatementYahiko Kambayashi, Werner Winiwarter, Masatoshi Arikawa (eds.).
    GenreCongresses.
    SeriesLecture notes in computer science -- 2114
    ContributionsKambayashi, Y., Winiwarter, Werner., Arikawa, Masatoshi.
    Classifications
    LC ClassificationsQA76.9.D37 D396 2001
    The Physical Object
    Paginationxiv, 359 p. :
    Number of Pages359
    ID Numbers
    Open LibraryOL15512566M
    ISBN 103540425535
    LC Control Number2001039748
    OCLC/WorldCa47838257

    Find many great new & used options and get the best deals for Lecture Notes in Computer Science: Data Warehousing and Knowledge Discovery: First International Conference, DaWaK'99, Florence, Italy, August 30 - September 1, , Proceedings (, Paperback) at the best online prices at eBay! Free shipping for many products! In this book, youll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools.

    Wiley Computer Publishing. This overview of data mining techniques includes a good section on cleaning data for data mining. Google Scholar Digital Library; Bischoff, J. and T. Alexander. Data Warehouse: Practical Advice from the Experts. Prentice Hall. This book on building data warehouses has an excellent section on cleaning and loading.   Read "Big Data Analytics and Knowledge Discovery 17th International Conference, DaWaK , Valencia, Spain, September , , Proceedings" by available from Rakuten Kobo. This book constitutes the refereed proceedings of the 17th International Conference on Data Warehousing and Knowledge Di Brand: Springer International Publishing.

      Analytics is the new force driving business. Tools have been created to measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators, many using the unprecedented amount of data now flowing into organizations. Featuring updated examples and surveys, this dynamic book covers Author: Jim Lindell. 1. Trends in Data Mining and Knowledge Discovery Krzysztof J. Cios 1,3,4,5 and Lukasz A. Kurgan 2 1 University of Colorado at Denver, Department of Computer Science and Engineering, Campus Box , Denver, CO , U.S.A. e mail: @e Size: KB.


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Data warehousing and knowledge discovery by DaWaK 2001 (2001 Munich, Germany) Download PDF EPUB FB2

Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. Data Warehousing and Knowledge Discovery PDF Download for free: Book Description: This book constitutes the refereed proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK held in Prague, Czech Republic, in August The 24 revised full papers and 8 short papers presented were carefully reviewed and.

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Warehousing Data: Design and Implementation. Tanler () identifies three stages in the design and implementation of the data warehouse.

The first stage is largely concerned with identifying the critical success factors of the enterprise, so as to determine the focus of the systems applied to the warehouse.

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Data Warehousing and Knowledge Discovery: 7th International Conference, DaWakFormat: Paperback. This book constitutes the refereed proceedings of the First International Conference on Data Warehousing and Knowledge Discovery, DaWaK'99, held in Florence, Italy in August/September The 31 revised full papers and nine short papers presented were carefully reviewed and selected from 88 : $ Geographic data mining and knowledge discovery is a promising young discipline with many challenging research problems.

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Data. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over.

This book constitutes the refereed proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK held in Prague, Czech Republic, in August The 24 revised full papers and 8 short papers presented were carefully reviewed and selected from 89 submissions.

Book Description. The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases. Since the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been addition, there has.

The Second International Conference on Data Warehousing and Knowledge Discovery (DaWaK ) was held in Greenwich, UK September. DaWaK was a forum where researchers from data warehousing Read more.

Get this from a library. Data warehousing and knowledge discovery: Second International Conference, DaWakLondon, UK, Septemberproceedings. [Y Kambayashi; Mukesh Mohania; A Min Tjoa;] -- This book constitutes the refereed proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery, DaWaKheld.

Ienco D, Pitarch Y, Poncelet P and Teisseire M Knowledge-Free Table Summarization Proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery - Volume() Li F, Lei J, Tian Y, Punyapatthanakul S and Wang Y Model selection strategy for customer attrition risk prediction in retail banking Proceedings.

Here is the list of steps involved in the knowledge discovery process − Data Cleaning − In this step, the noise and inconsistent data is removed. Data Integration − In this step, multiple data sources are combined. Data Selection − In this step, data relevant to the analysis task are retrieved from the database.

This book constitutes the refereed proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery, DaWaK held in Vienna, Austria, in September The 36 revised full papers presented were carefully reviewed and selected from 99 submissions.

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

Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a .