Recent Advances In Data Mining Of Enterprise Data: Algorithms And Applications: 6 (Series On Computers And Operations Research) - Hardcover

Triantaphyllou, Evangelos; Liao, T Warren

9789812779854: Recent Advances In Data Mining Of Enterprise Data: Algorithms And Applications: 6 (Series On Computers And Operations Research)

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ISBN 10: 981277985X ISBN 13: 9789812779854

Verlag: World Scientific Publishing Co Pte Ltd, 2008

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THE MAIN GOAL OF THE NEW FIELD OF DATA MINING IS THE ANALYSIS OF LARGE AND COMPLEX DATASETS. SOME VERY IMPORTANT DATASETS MAY BE DERIVED FROM BUSINESS AND INDUSTRIAL ACTIVITIES. THIS KIND OF DATA IS KNOWN AS "ENTERPRISE DATA". THE COMMON CHARACTERISTIC OF SUCH DATASETS IS THAT THE ANALYST WISHES TO ANALYZE THEM FOR THE PURPOSE OF DESIGNING A MORE COST-EFFECTIVE STRATEGY FOR OPTIMIZING SOME TYPE OF PERFORMANCE MEASURE, SUCH AS REDUCING PRODUCTION TIME, IMPROVING QUALITY, ELIMINATING WASTES, OR MAXIMIZING PROFIT. DATA IN THIS CATEGORY MAY DESCRIBE DIFFERENT SCHEDULING SCENARIOS IN A MANUFACTURING ENVIRONMENT, QUALITY CONTROL OF SOME PROCESS, FAULT DIAGNOSIS IN THE OPERATION OF A MACHINE OR PROCESS, RISK ANALYSIS WHEN ISSUING CREDIT TO APPLICANTS, MANAGEMENT OF SUPPLY CHAINS IN A MANUFACTURING SYSTEM, OR DATA FOR BUSINESS RELATED DECISION-MAKING.

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Rese�a del editor

The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as "enterprise data". The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing a more cost-effective strategy for optimizing some type of performance measure, such as reducing production time, improving quality, eliminating wastes, or maximizing profit. Data in this category may describe different scheduling scenarios in a manufacturing environment, quality control of some process, fault diagnosis in the operation of a machine or process, risk analysis when issuing credit to applicants, management of supply chains in a manufacturing system, or data for business related decision-making.

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VerlagWorld Scientific Publishing Co Pte Ltd
Erscheinungsdatum2008
ISBN 10 981277985X
ISBN 13 9789812779854
EinbandTapa dura
SpracheEnglisch
Anzahl der Seiten820

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Recent advances in data mining of enterprise data: algorithms and applications.

Evangelos Triantaphyllou

Verlag: uuuu-uuuu., 2008

ISBN 10: 981277985X ISBN 13: 9789812779854

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Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband besto�en, daher M�ngelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Bestandsnummer des Verk�ufers 45046HB

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RECENT ADVANCES IN DATA MINING OF ENTERPRISE DATA: ALGORITHMS AND APPLICATIONS (Computers and Operations Research)

Liao, T. Warren

Verlag: World Scientific Pub Co Inc, 2008

ISBN 10: 981277985X ISBN 13: 9789812779854

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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Bestandsnummer des Verk�ufers Z1-C-089-02627

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Recent Advances In Data Mining Of Enterprise Data: Algorithms And Applications

By Evangelos Triantaphyllou (Author), T Warren Liao (Author),

Verlag: World Scientific Pub Co Inc, 2008

ISBN 10: 981277985X ISBN 13: 9789812779854

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Recent Advances In Data Mining Of Enterprise Data: Algorithms And Applications

By Evangelos Triantaphyllou (Author), T Warren Liao (Author),

Verlag: World Scientific Pub Co Inc, 2008

ISBN 10: 981277985X ISBN 13: 9789812779854

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Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Bestandsnummer des Verk�ufers ABEJUNE24-292194

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