The Handbook of Data Mining (Human Factors and Ergonomics). Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: CRC Press, 2003
- Hardcover
- Gebraucht

Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes KönigreichPhatpocket Limited
Verkäufer/-in mit 5 Sternen
Verkäufer:in bei ZVAB seit 28. April 2005
Nicht verfügbar
Hardcover
Zustand: Gebraucht - Wie neu
EUR 253,31
Artikelbeschreibung des Verkäufers
Used - Like New. Book is new and unread but may have minor shelf wear. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. 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 Verkäufers Z1-V-017-01575
- Titel
- The Handbook of Data Mining (Human Factors and Ergonomics)
- Verlag
- CRC Press
- Erscheinungsjahr
- 2003
- Zustand
- Like New
- Einband
- Hardcover
- Sprache
- Englisch
- ISBN-10
- 0805840818
- ISBN-13
- 9780805840810
- Serie
- Buch 13 von 40: Human Factors and Ergonomics
Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials.
This book is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II addresses various issues typically faced in the management of data mining projects and tips on how to maximize outcome utility. Part III features numerous real-world applications of these techniques in a variety of areas, including human performance, geospatial, bioinformatics, on- and off-line customer transaction activity, security-related computer audits, network traffic, text and image, and manufacturing quality.
This Handbook is ideal for researchers and developers who want to use data mining techniques to derive scientific inferences where extensive data is available in scattered reports and publications. It is also an excellent resource for graduate-level courses on data mining and decision and expert systems methodology.
This book is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II addresses various issues typically faced in the management of data mining projects and tips on how to maximize outcome utility. Part III features numerous real-world applications of these techniques in a variety of areas, including human performance, geospatial, bioinformatics, on- and off-line customer transaction activity, security-related computer audits, network traffic, text and image, and manufacturing quality.
This Handbook is ideal for researchers and developers who want to use data mining techniques to derive scientific inferences where extensive data is available in scattered reports and publications. It is also an excellent resource for graduate-level courses on data mining and decision and expert systems methodology.
„Inhaltsangabe“ gehört möglicherweise zu einer anderen Auflage dieses Titels.
Über die Autorin bzw. den Autor
Nong Ye
„Über diesen Titel“ gehört möglicherweise zu einer anderen Auflage dieses Titels.