This book provides both a theoretical and practical understanding of the key methods of classification, prediction, reduction and exploration that are at the heart of data mining. In addition, it presents a business decision-making context for these methods and uses real business cases and data to illustrate the application and interpretation of these methods.

Apply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results
Data Mining Methods and Models provides:

• The latest techniques for uncovering hidden nuggets of information
• The insight into how the data mining algorithms actually work
• The hands-on experience of performing data mining on large...

This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).

Data Mining Using SAS(r) Enterprise Miner introduces the reader to a wide variety of data mining techniques in SAS(r) Enterprise Miner. This first-of-a-kind book explains the purpose of -- and reasoning behind -- every node that is a part of Enterprise Miner with regard to SEMMA design and data mining analysis. Each chapter starts with a short introduction...

The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components...

For one- or two-semester courses in data structures (CS-2) in the departments of Computer Science, Computer Engineering, Business, and Management Information Systems.
  
This is the most student-friendly data structures text available that introduces ADTs in individual, brief chapters - each with pedagogical tools to help students master each concept.

For courses in Java - Data Structures/CS2.
 
 
This innovative new text encourages students to utilize the "Outside-In" approach to learning the use, design and implementation of data structures. The author introduces every data structure by first narrating its properties and use in applications (the "outside" view) -...