In this book, editor Numan Celebi presents readers with a collection of academic and professional contributions on the current specialized requirements of data analysis. The fifteen selections that make up the main body of the text are devoted to unified wavelet transform analysis adapted to different biomedical applications, image mining as techniques for feature extraction, a soft computing approach to customer segmentation, data mining for multicriteria single facility location problems, and many other related subjects.
– ProtoView Reviews
[...]. Fifteen chapters examine a variety of approaches to Intelligent Data Analysis (IDA), exploring such techniques and concepts as wavelet transform, heuristic and metaheuristic algorithms, grey modeling, image mining, fuzzy logic and much more. Some chapters showcase the practical applications of these methods. Chapter three, for example, explores the elements that affect housing demand in Turkey via grey theory, while chapter five tests several IDA methods in search of the optimal forecast of electrical loads. Applications in the healthcare, Internet, and financial sectors are also profiled in this volume, while the specific problems of shelf space management, signal processing, facility location, and supplier selection, among others, are addressed.
This volume definitely benefits from the inclusion of a preface, which works to establish the volume’s organization as well as its highly specialized mission. References are listed at the end of each chapter and compiled again at the end of the book, alongside brief contributor biographies and an index. IT professionals, educators, and students, in addition to data analysis specialists throughout a variety of fields, would be interested in this material.
– ARBA Staff Reviewer