Data Mining for Design and Marketing
Published on 26. January 2009
336 pages
978-1-040-17101-1 (ISBN)
Description
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
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
File size
15,32 MB
ISBN-13
978-1-040-17101-1 (9781040171011)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Yukio Ohsawa | Katsutoshi Yada
Data Mining for Design and Marketing
Book
06/2017
1st Edition
CRC Press
€109.50
Shipment within 10-20 days
Yukio Ohsawa | Katsutoshi Yada
Data Mining for Design and Marketing
Book
01/2009
1st Edition
Chapman & Hall/CRC
€288.10
Shipment within 15-20 days
Content
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.
