Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities. While the aim of pattern recognition is to discover the pattern of a data set, the size of the data set is closely related to the methodology one adopts for analysis. Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery tackles those data sets and covers a variety of issues in relation to intelligent data analysis so that patterns from frequent or rare events in spatial or temporal spaces can be revealed. This book brings together current research, results, problems, and applications from both theoretical and practical approaches.

Despite being a relatively new field of research and development, green management has drawn much attention from researchers and practitioners. Facing critical impacts to its environment, a strategic change to integrate supply chain management on green products needs a solid base for decision making.""Web-Based Green Products Life Cycle Management Systems: Reverse Supply Chain Utilization"" provides a comprehensive review of current and potential research in green management and control. A unique collection in the growing field of green products, this book is a must-have for new and experienced researchers, as well as practitioners and academicians alike.

In a saturated and competitive market, the dynamic nature of customers' behavior increases the unsteadiness and unpredictability of customer profitability, making marketing planning and tactics development inefficient and ineffective. This book provides a framework of Customer Profitability Management (CPM) and its implementation that enables a firm to be more responsive to customer needs and facilitates the growth of customer equity.

Data Construction Method (DCM) based on the multiset division is proposed. The DCM can not only generate addition data within the domain value of the given sample for revealing the data's patterns, but also creates the membership function from the generated data for further applications. In this way, the DCM is taken to filling up the information gaps caused by small-sample-sets. To demonstrate the effectiveness of DCM, after presenting the DCM's theoretic background, properties, and algorithm, we compared the DCM with several existing approaches in estimating the population mean and improving the supervised neural network learning performance. The results show that the DCM performs better in a comparative manner. To show its applicability, we have applied the membership function derived from the DCM data to the studies of predicting the severe earthquakes in Taiwan and forecasting the psychotic episode of individual schizophrenics. The results have shown that the DCM can provide appropriate references for prediction from both spatial and temporal small data sets.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.A COMPLETE GUIDE TO IMPLEMENTING A GREEN SUPPLY CHAIN This detailed resource provides a stage-by-stage production methodology within the life cycle of a product to ensure environmental compliance and economic goals. After covering basic concepts and background, Green Supply Chain Management: Product Life Cycle Approach discusses green engineering technologies, green value chain management, and green information management systems. The book delivers the knowledge to quantify the environmental impact on supply chains and identify opportunities for making improvements, leading to both green engineering and green management of a product. COVERAGE INCLUDES: Mathematical background Green engineering Green materials Environmental design Green procurement--vendor selection with risk analysis Green production--manufacture and remanufacture in certain and uncertain environments Green logistics--recycling with certain and uncertain situations Green customers--features and identification End-of-life management--disassembly and reuse Database for life cycle assessment--procedure with database Web-based information support systems