Data Mining

Concepts, Methods and Applications in Management and Engineering Design
2011
ISBN: 978-1-84996-337-4
Verlag: Springer

Buch, Englisch, 312 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 718 g

Reihe: Decision Engineering

An essential text for readers wishing to use data mining methods to cope with management and engineering design problems within a company, stands out from other data mining books by introducing in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Organized in two parts, the first part is a primer that introduces data mining to those readers who are not familiar with it. This section of the book discusses the methods that are commonly used in management and engineering design, including association rule mining, cluster analysis, grouping genetic algorithms, and fuzzy sets and fuzzy logic. The second part of the book focuses on applications in management and engineering design. This section covers almost all of the managerial activities of a company, including market segmentation, product design, organization design, manufacturing design, and supply chain design. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, presents a number of state-of-the-art topics not covered in any other publication.

Zielgruppe

Research

Autoren/Hrsg.

Yin, Yong

Zhu, Jianming

Kaku, Ikou

Tang, Jiafu

Fachgebiete

• Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Wirtschaftswissenschaften Betriebswirtschaft Management Qualitätsmanagement, Qualitätssicherung (QS), Total Quality Management (TQM)
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management

Inhaltsverzeichnis

1. Decision Analysis and Cluster Analysis.- 2. Association Rules Mining in Inventory Data Base.- 3. Fuzzy Modeling and Optimization: Theory and Methods.- 4. Genetic Algorithm Based Fuzzy Nonlinear Programming.- 5. Neural Network and Self Organizing Maps.- 6. Privacy Preserving Data Mining.- 7. Supply Chain Design by Using Decision Analysis.- 8. Product Architecture and Product Development Process for Global Performance.- 9. Application of Cluster Analysis to Cellular Manufacturing.- 10. Manufacturing Cells Design by Cluster Analysis.- 11. Fuzzy Approach to Quality Function Deployment-based Product Planning.- 12. Decision Making with Consideration of Association in Supply Chains.- 13. Applying Self Organizing Maps to Master Data Making in Automatic Exterior Inspection.- 14. Application for Privacy Preserving Data Mining.

Über Autor(innen)

Yong Yin has been Associate Professor at Yamagata University, Japan, since 2004. He was previously Assistant Professor at the same university from 2002 to 2004. His research areas are manufacturing strategy; product development; workforce agility; and supply chain management.

Ikou Kaku is a professor at the Department of Management Science and Engineering, Akita Prefectural University, Japan. His research interests are in human factors related to manufacturing; mathematical modeling and meta heuristics; data mining techniques and their application in inventory management; and supply chain management.

Jiafu Tang is a professor at Northeastern University, Shenyang, China. He works in the Institute of Systems Engineering's Key Laboratory of Integrated Automation of Process Industry of MOE.

JianMing Zhu is a professor at the Central University of Finance and Economics, Beijing, China. He works in the School of Information.