Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining...

The aim of this book is to provide the reader with a modern presentation of ionic solutions at interfaces, for physical chemists, chemists and theoretically oriented experimentalists in this field. The discussion is mainly on the structural and thermodynamic properties, in relation to presently available statistical mechanical models. Some...

Diabetes mellitus and its complications are conditions of growing importance from both the clinical and epidemiological standpoint. Diabetes has life-threatening complications affecting several organs and systems, with increased risk for ocular, renal, cardiac, cerebral, nervous and peripheral vascular disease. In many developed countries and...

One of the world’s leading SAP Sales & Distribution consultants delivers the first comprehensive and practical guide to implementing this new module in the R/3 system. Inside this book you’ll get complete information on the ins and outs of the...

Two issues make debugging in the Microsoft Windows environment difficult and time consuming. The first issue is that debugging has always been a self-taught skill—you've basically been on your own to figure it out. Even if you have a computer science degree, I'm willing to bet that you never took a single college class dedicated to...

We assume that you want to learn quickly how to write useful C++ programs. Therefore, we start by explaining the most useful parts of C++. This strategy may seem obvious when we put it that way, but it has the radical implication that we do not begin by teaching C, even though C++ builds on C. Instead, we use high-level data structures from...