Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of proper analytical...

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice...

"This book is concerned with developing unsupervised learning procedures and building self organizing network modules that can capture regularities of the environment. the book provides a detailed introduction to Hebbian learning and negative feedback neural networks and is suitable for...

As the preferred technology for Web design, cascading style sheets (CSS) enable Web designers and developers to define consistent styles on multiple pages. Written by leading CSS authors who are also professional programmers and designers, this is the first book to showcase examples of...

When in 1986 Yves Kodratoff started the European Working Session on Learning at Orsay, France, it could not be foreseen that the conference would grow year by year and become the premier European conference of the field, attracting submissions from all over the world. The first European Conference on Principles of Data Mining and Knowledge...

Medical Informatics and biomedical computing have grown in quantum measure over the past decade. An abundance of advances have come to the foreground in this field with the vast amounts of biomedical and genomic data, the Internet, and the wide application of computer use in all aspects of medical, biological, and health care research and...