Data Mining Techniques - Gordon S. Linoff

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Data Mining Techniques

For Marketing, Sales, and Customer Relationship Management

39,61 € inkl. MwSt
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Autor:

Gordon S. Linoff, Michael J. A. Berry

Verlag:

John Wiley & Sons Ltd

Jahr:

2011 (3. Auflage)

Seiten:

XL, 847 Seiten

Produktart:

Buch / Softcover

ISBN/EAN:

978-0-470-65093-6

weitere Informationen
weitere Informationen

Auflage:

3. Rev. edition

Einbandart:

Paperback

Maße:

188 x 231 mm / 1274 g

Listenpreis:

£ 33,99 (GBP); $ 50,00 (USD)

Sprache:

englisch

Kategorie:

Data Warehouse/Data Mining

Verlagsort:

Indianapolis

ISBN-10:

0-470-65093-1 / 0470650931

ISBN-13:

978-0-470-65093-6 / 9780470650936

Kundenbewertung:

Als erster bewerten

Weitere Ausgaben: Jahr Produkt-Art Preis
Vorauflage
Titel:Data Mining Techniques
Autor / Hrsg.:Berry, Michael J.; Linoff, Gordon S.
Verlag:John Wiley & Sons Inc
Jahr:2004
Produkt-Art: Buch / Softcover
Anmerkung:Vorauflage
Preis: 39,61 €
2004 Buch / Softcover 39,61 €

Weitere Informationen von "Data Mining Techniques":

Gordon S. Linoff and Michael J. A. Berry are the founders of Data Miners, Inc., a consultancy specializing in data mining. They have jointly authored two of the leading data mining titles in the field, Data Mining Techniques and Mastering Data Mining (both from Wiley). They each have decades of experience applying data mining techniques to business problems in marketing and customer relationship management.


When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition - more than 50% new and revised - is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.

  • Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems
  • Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately
  • Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more
  • Provides best practices for performing data mining using simple tools such as Excel


Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.


Über den Autor:

GORDON S. LINOFF and MICHAEL J. A. BERRY are the founders of Data Miners, Inc., a consultancy specializing in data mining. They have jointly authored two of the leading data mining titles in the field, Data Mining Techniques and Mastering Data Mining (both from Wiley). They each have decades of experience applying data mining techniques to business problems in marketing and customer relationship management.

Inhaltsverzeichnis von "Data Mining Techniques":

Introduction

Chapter 1: What Is Data Mining and Why Do It?
Chapter 2: Data Mining Applications in Marketing and Customer Relationship Management.
Chapter 3: The Data Mining Process.
Chapter 4: Statistics 101: What You Should Know About Data.
Chapter 5: Descriptions and Prediction: Profiling and Predictive Modeling.
Chapter 6: Data Mining Using Classic Statistical Techniques.
Chapter 7: Decision Trees.
Chapter 8: Artifi cial Neural Networks.
Chapter 9: Nearest Neighbor Approaches: Memory-Based Reasoning and Collaborative Filtering.
Chapter 10: Knowing When to Worry: Using Survival Analysis to Understand Customers.
Chapter 11: Genetic Algorithms and Swarm Intelligence.
Chapter 12: Tell Me Something New: Pattern Discovery and Data Mining.
Chapter 13: Finding Islands of Similarity: Automatic Cluster Detection.
Chapter 14: Alternative Approaches to Cluster Detection.
Chapter 15: Market Basket Analysis and Association Rules.
Chapter 16: Link Analysis.
Chapter 17: Data Warehousing, OLAP, Analytic Sandboxes, and Data Mining.
Chapter 18: Building Customer Signatures.
Chapter 19: Derived Variables: Making the Data Mean More.
Chapter 20: Too Much of a Good Thing? Techniques for Reducing the Number of Variables.
Chapter 21: Listen Carefully to What Your Customers Say: Text Mining.

Index

Kundenbewertungen und Lesermeinungen (Durchschnitt - )

Keine Kundenmeinungen vorhanden

Schlagworte:

Data Mining

Weitere Informationen zu "Data Mining Techniques"

Auflage:

3. Rev. edition

Einbandart:

Paperback

Maße:

188 x 231 mm / 1274 g

Listenpreis:

£ 33,99 (GBP); $ 50,00 (USD)

Sprache:

englisch

Kategorie:

Data Warehouse/Data Mining

Verlagsort:

Indianapolis

ISBN-10:

0-470-65093-1 / 0470650931

ISBN-13:

978-0-470-65093-6 / 9780470650936

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