<p><P><I>Data Mining</I> 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.</P><P><I>Data Mining</I> is organised into two parts: the first provides a focused introduction to data mini
Data Mining: Concepts, Methods and Applications in Management and Engineering Design
โ Scribed by Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu (auth.)
- Publisher
- Springer-Verlag London
- Year
- 2011
- Tongue
- English
- Leaves
- 328
- Series
- Decision Engineering
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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:
โข market segmentation,
โข product design,
โข organization design,
โข manufacturing design, and
โข 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.
โฆ Table of Contents
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
โฆ Subjects
Data Mining and Knowledge Discovery; Engineering Economics, Organization, Logistics, Marketing; Operation Research/Decision Theory; Engineering Design
๐ SIMILAR VOLUMES
An essential text for readers wishing to use data mining methods to cope with management and engineering design problems within a company,<em>Data Mining: Concepts, Methods and Applications in Management and Engineering Design</em>stands out from other data mining books by introducing in clear and s
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 int
Cover; Half Title Page; Title Page; Copyright Page; About the Author; Table of Contents; Preface; Chapter 1 Introduction to Data Mining; 1.1. What is Data Mining?; 1.2. Terminology Used in Data Mining; 1.3. Data Mining Process; 1.4. CRISP-DM Process Model; 1.5. SEMMA; 1.6. Data Warehousing Overview;
<p><em>Data Mining for Design and Manufacturing: Methods and Applications</em> is the first book that brings together research and applications for data mining within design and manufacturing. The aim of the book is 1) to clarify the integration of data mining in engineering design and manufacturing
Data warehousing and online analysis technologies have shown their effectiveness in managing and analyzing a large amount of disparate data, attracting much attention from numerous research communities. Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction c