Visual Data Mining

Techniques and Tools for Data Visualization and Mining

Ian Davidson, Tom Soukup

382 pages, parution le 03/07/2002

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Résumé

Data mining techniques offer marketing analysts a better understanding of customer buying habits. That data can then be used to develop new marketing campaigns and new products. New visual mining tools are becoming widely available, and can provide a quick and easily accessible way of retrieving information. These visual techniques also have the ability to make it possible for nontechnical business managers to understand their markets and make more savvy business decisions.

Contents

Pt. 1 Introduction and Project Planning Phase
Ch. 1 Introduction to Data Visualization and Visual Data Mining
Ch. 2 Step 1: Justifying and Planning the Data Visualization and Data Mining Project
Ch. 3 Step 2: Identifying the Top Business Questions
Pt. 2 Data Preparation Phase
Ch. 4 Step 3: Choosing the Business Data Set
Ch. 5 Step 4: Transforming the Business Data Set
Ch. 6 Step 5: Verify the Business Data Set
Pt. 3 Data Analysis Phase and Beyond
Ch. 7 Step 6: Choosing the Visualization or Visual Mining Tool
Ch. 8 Step 7: Analyzing the Visualization or Mining Tool
Ch. 9 Step 8: Verifying and Presenting the Visualizations or Mining Models
Ch. 10 The Future of Visual Data Mining
Glossary

L'auteur - Ian Davidson

Ian Davidson,PhD, has worked on commercial data mining applications, including insurance claim fraud detection, product cross-sell, customer retention, and credit cardfraud detection. He is currently an Assistant Professor of Computer Science at the State University of New York, Albany.

L'auteur - Tom Soukup

Tom Soukup has more than fifteen years of experience in data management and analysis. He is currently with Konami Gaming, Inc., where he is involved in data mining and data warehousing projects for the gaming industry.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Ian Davidson, Tom Soukup
Parution	03/07/2002
Nb. de pages	382
Format	19 x 23,4
Couverture	Broché
Poids	750g
Intérieur	Noir et Blanc
EAN13	9780471149996
ISBN13	978-0-471-14999-6