Temporal Data Mining - Grand Format

"Temporal Data Mining presents a comprehensive overview of the various mathematical and computational aspects of dynamical data processing, from database storage and retrieval to statistical modeling and inference. The first part of the book discusses the key tools and techniques in considerable depth, with a focus on the applicable models and algorithms. Building on this, the second part considers the application to bioinformatics, finance and business computing.
The technical depth is appropriate to interest a broad audience, and the text is highly accessible irrespective of the reader's prior familiarity with the subject. An extensive bibliography is provided on each of the topics covered, which makes this book a valuable reference for both the novice and the established practitioner. The clear, concise and instructive style will make this book particularly attractive to graduate students, researchers and industry professionals." Wasim Q.
Malik, Massachusetts Institute of Technology and Harvard Medical School, Cambridge, USA. "...[The author's] linkage of sophisticated concepts of temporal data mining to practical business issues ... offers an illuminating approach to organizing and creating sense from overwhelming quantities of random data. Although the algorithms and computations are complex, a reader can leam that there are quantitative approaches to expose additional, possibly critical, insights about virtually any facet of a business.
This book further illustrates the growing importance of business analytics and showcases the myriad opportunities available to savvy managers and entrepreneurs to use a system of tools to leverage the value of, and investment in, their data collection and mining efforts." Gary Minkoff, Babson MBA, President, Above & Beyond Marketing, Highland Park, New Jersey, USA. "...I found that Temporal Data Mining offered a valuable overview ...
and gave interesting insight into topics related to gene discovery and bioinformatics. A major strength of the book is the large bibliography, which provides the reader with the tools to dig deeper into topics of interest." Dr. Brian Tracey, Signal Processing Project Leader at Neurometrix, Inc.