Data Mining for Design and Marketing

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Yukio Ohsawa, Katsutoshi Yada
CRC Press, 2009 M01 26 - 336 pages
Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems.The expert contributors discuss how data mining can identify valuable consumer patterns, which aid marketers and designers in de

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Contents

Chapter 1 Sensing Values in Designing Products and Markets on Data Mining and Visualizations
1
Chapter 2 Reframing the DataMining Process
19
Chapter 3 The Use of Online Market Analysis Systems to Achieve Competitive Advantage
35
Chapter 4 Finding Hierarchical Patterns in Large POS Data Using Historical Trees
57
Chapter 5 A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis
81
Chapter 6 Data Mining for Improved Web Site Design and Enhanced Marketing
95
Chapter 7 Discourse Analysis and Creativity Support for Concept Product Design
107
Chapter 8 Data Crystallization with Human Interactions Applied for Designing New Products
119
Chapter 12 Association Bundle Based Market Basket Analysis
187
Chapter 13 Formal Concept Analysis with Attribute Priorities
211
Chapter 14 Literature Categorization System for Automated Database Retrieval of Scientific Articles Based on Dedicated Taxonomy
223
Chapter 15 A DataMining Framework for Designing Personalized ECommerce Support Tools
235
Chapter 16 An Adjacency Matrix Approach for Extracting User Sentiments
251
Chapter 17 Visualizing RFID Tag Data in a Library for Detecting Latent Interest of Users
277
KeyGraph and Pictorial KeyGraph
295
A Maximal Cliques Enumeration Algorithm for MBA Transaction Data
299

Chapter 9 Improving and Applying Chance Discovery for Design Analysis
137
Chapter 10 Mining for Influence Leaders in Global Teamwork Projects
149
Chapter 11 Analysis Framework for Knowledge Discovery Related to Persuasion Process Conversation Logs
171
Index
307
Back cover
321
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