Ebook: Data Mining: Concepts, Methods and Applications in Management and Engineering Design

Data Mining introduces 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.

Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all 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, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.

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Data Mining introduces 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.

Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all 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, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.

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Data Mining introduces 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.

Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all 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, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.

Content:
Front Matter....Pages i-xiv
Decision Analysis and Cluster Analysis....Pages 1-8
Association Rules Mining in Inventory Database....Pages 9-23
Fuzzy Modeling and Optimization: Theory and Methods....Pages 25-54
Genetic Algorithm-based Fuzzy Nonlinear Programming....Pages 55-86
Neural Network and Self-organizing Maps....Pages 87-100
Privacy-preserving Data Mining....Pages 101-119
Supply Chain Design Using Decision Analysis....Pages 121-132
Product Architecture and Product Development Process for Global Performance....Pages 133-155
Application of Cluster Analysis to Cellular Manufacturing....Pages 157-205
Manufacturing Cells Design by Cluster Analysis....Pages 207-231
Fuzzy Approach to Quality Function Deployment-based Product Planning....Pages 233-249
Decision Making with Consideration of Association in Supply Chains....Pages 251-268
Applying Self-organizing Maps to Master Data Making in Automatic Exterior Inspection....Pages 269-284
Application for Privacy-preserving Data Mining....Pages 285-309
Back Matter....Pages 311-312

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Data Mining introduces 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.

Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all 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, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.

Content:
Front Matter....Pages i-xiv
Decision Analysis and Cluster Analysis....Pages 1-8
Association Rules Mining in Inventory Database....Pages 9-23
Fuzzy Modeling and Optimization: Theory and Methods....Pages 25-54
Genetic Algorithm-based Fuzzy Nonlinear Programming....Pages 55-86
Neural Network and Self-organizing Maps....Pages 87-100
Privacy-preserving Data Mining....Pages 101-119
Supply Chain Design Using Decision Analysis....Pages 121-132
Product Architecture and Product Development Process for Global Performance....Pages 133-155
Application of Cluster Analysis to Cellular Manufacturing....Pages 157-205
Manufacturing Cells Design by Cluster Analysis....Pages 207-231
Fuzzy Approach to Quality Function Deployment-based Product Planning....Pages 233-249
Decision Making with Consideration of Association in Supply Chains....Pages 251-268
Applying Self-organizing Maps to Master Data Making in Automatic Exterior Inspection....Pages 269-284
Application for Privacy-preserving Data Mining....Pages 285-309
Back Matter....Pages 311-312
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