Data Mining for Design and Marketing

University of Tokyo, School of Engineering, Japan Kansai University, Osaka, Japan

• Sensing Values in Designing Products and Markets on Data Mining and Visualizations. Reframing the Data Mining Process. The Use of Online Market Analysis Systems to Achieve Competitive Advantage. Finding Hierarchical Patterns in Large POS Data Using Historical Trees. A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis. Data Mining for Improved Website Design and Enhanced Marketing. Discourse Analysis and Creativity Support for Concept Product Design. Data Crystallization with Human Interactions Applied for Designing New Products. Improving and Applying Chance Discovery for Design Analysis. Mining for Influence Leaders in Global Teamwork Projects. Analysis Framework for Knowledge Discovery Related to Persuasion Process Conversation Logs. Association Bundle-Based Market Basket Analysis. Formal Concept Analysis with Attribute Priorities. Literature Categorization System for Automated Database Retrieval of Scientific Articles Based on Dedicated Taxonomy. A Data Mining Framework for Designing Personalized E-Commerce Support Tools. An Adjacency Matrix Approach for Extracting User Sentiments from Sentences. Visualizing RFID Tag Data in a Library for Detecting Latent Interest of Users. Appendices. Index.