Verwandte Artikel zu Data Mining: Know It All

9780123746290: Data Mining: Know It All

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorinnen und Autoren

Soumen Chakrabarti is assistant Professor in Computer Science and Engineering at the Indian Institute of Technology, Bombay. Prior to joining IIT, he worked on hypertext databases and data mining at IBM Almaden Research Center. He has developed three systems and holds five patents in this area. Chakrabarti has served as a vice-chair and program committee member for many conferences, including WWW, SIGIR, ICDE, and KDD, and as a guest editor of the IEEE TKDE special issue on mining and searching the Web. His work on focused crawling received the Best Paper award at the 8th International World Wide Web Conference (1999). He holds a Ph.D. from the University of California, Berkeley.

Richard E. Neapolitan is professor and Chair of Computer Science at Northeastern Illinois University. He has previously written four books including the seminal 1990 Bayesian network text Probabilistic Reasoning in Expert Systems. More recently, he wrote the 2004 text Learning Bayesian Networks, the textbook Foundations of Algorithms, which has been translated to three languages and is one of the most widely-used algorithms texts world-wide, and the 2007 text Probabilistic Methods for Financial and Marketing Informatics (Morgan Kaufmann Publishers).

Dorian Pyle is Chief Scientist and Founder of PTI (www.pti.com), which develops and markets Powerhouse™ predictive and explanatory analytics software. Dorian has over 20 years experience in artificial intelligence and machine learning techniques which are used in what is known today as “data mining” or “predictive analytics”. He has applied this knowledge as a consultant with Knowledge Stream Partners, Xchange, Naviant, Thinking Machines, and Data Miners and with various companies directly involved in credit card marketing for banks and with manufacturing companies using industrial automation. In 1976 he was involved in building artificially intelligent machine learning systems utilizing the pioneering technologies that are currently known as neural computing and associative memories. He is current in and familiar with using the most advanced technologies in data mining including: entropic analysis (information theory), chaotic and fractal decomposition, neural technologies, evolution and genetic optimization, algebra evolvers, case-based reasoning, concept induction and other advanced statistical techniques.



Mamdouh Refaat is a data mining and business analytics consultant advising major organizations in North America and Europe. He has held several positions in consulting organizations and software vendors, including the director of consulting services at ANGOSS Software Corporation, a global data mining software and service provider. During his career, Mamdouh has managed numerous data mining consulting projects in marketing, CRM, and credit risk for Fortune 500 organizations in North America and Europe. In addition, he has delivered over 50 professional training courses in data mining and business analytics. Mamdouh holds a Ph.D. in Engineering from the University of Toronto, and an MBA from the University of Leeds.

During his career, Mamdouh has managed numerous data mining consulting projects in marketing, CRM, and credit risk for Fortune 500 organizations in North America and Europe. In addition, he has delivered over 50 professional training courses in data mining and business analytics.

Mamdouh holds a PhD in Engineering from the University of Toronto, and an MBA from the University of Leeds.



Markus Schneider is an Assistant Professor in the Computer Science Department of the University of Florida and holds a doctoral degree in Computer Science from the University of Hagen, Germany. He is author of a monograph in the area of spatial databases and of a German textbook on implementation concepts for database systems, and has published about 40 articles on database systems. He is on the editorial board of GeoInformatica.

Von der hinteren Coverseite

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.
|

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 diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

  • VerlagMorgan Kaufmann Publishers In
  • Erscheinungsdatum2008
  • ISBN 10 0123746299
  • ISBN 13 9780123746290
  • EinbandTapa dura
  • SpracheEnglisch
  • Anzahl der Seiten480
  • Kontakt zum HerstellerNicht verfügbar

Gebraucht kaufen

Zustand: Befriedigend
Your purchase helps support Sri...
Diesen Artikel anzeigen

EUR 4,66 für den Versand von Vereinigtes Königreich nach Deutschland

Versandziele, Kosten & Dauer

Gratis für den Versand innerhalb von/der Deutschland

Versandziele, Kosten & Dauer

Suchergebnisse für Data Mining: Know It All

Beispielbild für diese ISBN

Chakrabarti, Soumen
Verlag: Morgan Kaufmann, 2008
ISBN 10: 0123746299 ISBN 13: 9780123746290
Gebraucht Hardcover

Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

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 Verkäufers Z1-K-034-01942

Verkäufer kontaktieren

Gebraucht kaufen

EUR 11,41
Währung umrechnen
Versand: EUR 4,66
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Chakrabarti, S. et al
Verlag: Morgan Kaufmann, 2009
ISBN 10: 0123746299 ISBN 13: 9780123746290
Gebraucht Hardcover

Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1250grams, ISBN:9780123746290. Bestandsnummer des Verkäufers 9350641

Verkäufer kontaktieren

Gebraucht kaufen

EUR 12,60
Währung umrechnen
Versand: EUR 6,90
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Chakrabarti, Soumen; Neapolitan, Richard E.; Pyle, Dorian
ISBN 10: 0123746299 ISBN 13: 9780123746290
Gebraucht Hardcover

Anbieter: ThriftBooks-Dallas, Dallas, TX, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Hardcover. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 2.85. Bestandsnummer des Verkäufers G0123746299I5N00

Verkäufer kontaktieren

Gebraucht kaufen

EUR 15,75
Währung umrechnen
Versand: EUR 18,73
Von USA nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Foto des Verkäufers

Soumen Chakrabarti
ISBN 10: 0123746299 ISBN 13: 9780123746290
Neu Hardcover
Print-on-Demand

Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 480 pp. Englisch. Bestandsnummer des Verkäufers 9780123746290

Verkäufer kontaktieren

Neu kaufen

EUR 54,40
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Foto des Verkäufers

Soumen Chakrabarti
Verlag: Elsevier Science, 2008
ISBN 10: 0123746299 ISBN 13: 9780123746290
Neu Hardcover
Print-on-Demand

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9780123746290

Verkäufer kontaktieren

Neu kaufen

EUR 61,38
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Soumen Chakrabarti, Earl Cox, Eibe Frank, Ralf Hartmut G�ting, Jiawei Han, Xia Jiang, Micheline Kamber, Sam S. Lightstone, Thomas P. Nadeau, Richard E. Neapolitan, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ian H. Witten
ISBN 10: 0123746299 ISBN 13: 9780123746290
Neu Hardcover

Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Hardcover. Zustand: New. Bestandsnummer des Verkäufers 6666-ELS-9780123746290

Verkäufer kontaktieren

Neu kaufen

EUR 55,35
Währung umrechnen
Versand: EUR 15,41
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Chakrabarti, Soumen/ Cox, Earl/ Frank, Eibe/ Guting, Ralf Hartmut/ Han, Jaiwei
Verlag: Morgan Kaufmann Pub, 2008
ISBN 10: 0123746299 ISBN 13: 9780123746290
Neu Hardcover

Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Hardcover. Zustand: Brand New. illustrated edition. 496 pages. 9.20x7.60x1.40 inches. In Stock. Bestandsnummer des Verkäufers __0123746299

Verkäufer kontaktieren

Neu kaufen

EUR 63,11
Währung umrechnen
Versand: EUR 11,86
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Witten Ian H. Teorey Toby J. Schneider Markus Refaat Mamdouh Pyle Dorian Neapolitan Richard E. Nadeau Thomas P. Lightstone Sam S. Kamber Micheline Jiang Xia Han Jiawei G???ting Ralf Hartmut Frank Eibe Cox Earl Chakrabarti Soumen
Verlag: Elsevier, 2008
ISBN 10: 0123746299 ISBN 13: 9780123746290
Neu Hardcover

Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. pp. 480. Bestandsnummer des Verkäufers 8344429

Verkäufer kontaktieren

Neu kaufen

EUR 65,32
Währung umrechnen
Versand: EUR 10,50
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: 3 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Soumen Chakrabarti
ISBN 10: 0123746299 ISBN 13: 9780123746290
Neu Hardcover

Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Hardback. Zustand: New. New copy - Usually dispatched within 4 working days. 1169. Bestandsnummer des Verkäufers B9780123746290

Verkäufer kontaktieren

Neu kaufen

EUR 68,51
Währung umrechnen
Versand: EUR 10,80
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Witten Ian H. Teorey Toby J. Schneider Markus Refaat Mamdouh Pyle Dorian Neapolitan Richard E. Nadeau Thomas P. Lightstone Sam S. Kamber Micheline Jiang Xia Han Jiawei G???ting Ralf Hartmut Frank Eibe Cox Earl Chakrabarti Soumen
Verlag: Elsevier, 2008
ISBN 10: 0123746299 ISBN 13: 9780123746290
Neu Hardcover

Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. pp. 480. Bestandsnummer des Verkäufers 18584888

Verkäufer kontaktieren

Neu kaufen

EUR 81,43
Währung umrechnen
Versand: EUR 2,30
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 3 verfügbar

In den Warenkorb

Es gibt 3 weitere Exemplare dieses Buches

Alle Suchergebnisse ansehen