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00638nam 2200205 c 4500
000003921457
20220101120000
090901s2009 us 000 eng
▼a 9781420070194:
▼c £54.99
▼a 211070
▼c 211070
▼l WM0000012814
▼a QA76.9.D343
▼a QA76.9.D343
▼b D3828
▼a Ohsawa, Yukio
▼a Data Mining for Design and Marketing/
▼d Yukio Ohsawa;
▼e Katsutoshi Yada
▼a Boca Raton:
▼b CRC Press,
▼c 2009.
▼a 319 p.;
▼c 25 cm.
▼a DATA
▼a MINING
▼a DESIGN
▼a MARKETING
▼a Data Mining
▼a System design
▼a Desig, Industrial
▼a Katsutoshi Yada
▼b £54.99
▼a 단행본
| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9781420070194: |
| 분류기호 : | QA76.9.D343 |
| 개인저자 : | Ohsawa, Yukio |
| 서명/저자사항 : | Data Mining for Design and Marketing/ Yukio Ohsawa; Katsutoshi Yada |
| 발행사항 : | Boca Raton: CRC Press, 2009. |
| 형태사항 : | 319 p.; 25 cm. |
| 개인저자 : | Katsutoshi Yada |
| 언어 | 영어 |
권 호 :
발행년 : 2009
발행처 : CRC Press
서 명 : Data Mining for Design and Marketing
목차
1. Sensing Values in Designing Products and Markets on Data Mining and Visualizations
2. Reframing the Data-Mining Process
3. The Use of Online Market Analysis Systems to Achieve Competitive Advantage
4. Finding Hierarchical Patterns in Large POS Data Using Historical Trees
5. A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis
6. Data Minig for Improved Web Site Design and Enhanced Marketing
7. Discourse Analysis and Creativity Support for Concept Product Design
8. Data Crystallization with Human Interactions Applied for Designing New Products
9. Improving and Applying Chance Discovery for Design Analysis
10. Mining for Influence Leaders in Global Teamwork Projects
11. Analysis Framework for Knowledge Discovery Related to Persuation Process Conversation Logs
12. Association Bundle-Based Market Basket Analysis
13. Formal Concept Analysis with Attribute Priorities
14. Literature Categorization System for Automated Database Retrieval of Scientific Articles Based on Dedicated Taxonomy
15. A Data-Mining Framework for Designing Personalized E-Commerce Support Tools
16. An Adjacency Matrix Approach for Extracting User Sentiments
17. Visualizing RFID Tag Data in a Library for Detecting Latent Interest of Users
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