Data Mining: Know It All - Hardcover

Chakrabarti, Soumen; Neapolitan, Richard E.; Pyle, Dorian; Refaat, Mamdouh; Schneider, Markus; Teorey, Toby J.; Witten, Ian H.; Cox, Earl; Frank, Eibe; Güting, Ralf Hartmut; Han, Jiawei; Jiang, Xia; Kamber, Micheline; Lightstone, Sam S.; Nadeau, Thomas P.

Hardcover

ISBN 10: 0123746299 ISBN 13: 9780123746290

Verlag: Morgan Kaufmann Publishers In, 2008

Inhaltsangabe

Book by Chakrabarti Soumen Cox Earl Frank Eibe Gting Ralf

Über diesen Titel

Reseña del editor:

This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology.

The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining.

This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.

• Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints.
• Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader’s technical expertise and ability to implement practical solutions.
• Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.

Contraportada:

All of the elements of data mining together in a single volume written by the best and brightest experts in the field!

Enterprise data volume is growing at an exponential rate, and the intelligent analysis of this data is now a top-rated priority for every organization. As data sets grow in size and complexity, there is a shift toward automatic data analysis using ever more complex and sophisticated tools and processes.

Until now, information about these mining methodologies has been scattered across many different books as there has been no one-stop reference on how to successfully implement them. Data Mining: Know It All is here, assembled from the works of leading researchers and practitioners. This best-of-the-best collection delivers a wide-ranging, detailed examination of data mining that no book by a single author can possibly match. From data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology, Data Mining: Know It All is the complete insider’s guide to the essentials of data mining and analysis.

• Features chapters contributed by recognized experts in the field, letting you remain up-to-date and fully informed from multiple viewpoints.
• Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing your technical expertise and ability to implement practical solutions. 
•  Covers both theory and practice, bringing all of the elements of data mining together in a single volume and saving you the time and expense of making multiple purchases.

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All of the elements of data mining together in a single volume written by the best and brightest experts in the field!

Enterprise data volume is growing at an exponential rate, and the intelligent analysis of this data is now a top-rated priority for every organization. As data sets grow in size and complexity, there is a shift toward automatic data analysis using ever more complex and sophisticated tools and processes.

Until now, information about these mining methodologies has been scattered across many different books as there has been no one-stop reference on how to successfully implement them. Data Mining: Know It All is here, assembled from the works of leading researchers and practitioners. This best-of-the-best collection delivers a wide-ranging, detailed examination of data mining that no book by a single author can possibly match. From data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology, Data Mining: Know It All is the complete insider’s guide to the essentials of data mining and analysis.

• Features chapters contributed by recognized experts in the field, letting you remain up-to-date and fully informed from multiple viewpoints.
• Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing your technical expertise and ability to implement practical solutions.
• Covers both theory and practice, bringing all of the elements of data mining together in a single volume and saving you the time and expense of making multiple purchases.

Über diese Auflage

• Verlag: Morgan Kaufmann Publishers In
• Erscheinungsdatum: 2008
• ISBN 10: 0123746299
• ISBN 13: 9780123746290
• Einband: Tapa dura
• Anzahl der Seiten: 480