|Categories||Free Downloadable Data Storage and Data Mining eBooks!|
|Multi-Relational Data Mining
Whether you're an IT professional, manager, or a home PC user, you've got more data than ever -- and choosing reliable, cost-effective data storage has never been more important. In this book, one of the world's leading experts in data storage explains all your options, and shows you how to make the most of them.
Applied Spatial Data Analysis with R
Applied Spatial Data Analysis with R is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS.
Document Image Analysis
Optical character recognition and document image analysis have become very important areas with a fast growing number of researchers in the field. This comprehensive handbook with contributions by eminent experts, presents both the theoretical and practical aspects at an introductory level wherever possible.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing.
Introduction to Metadata: Revised Edition
An excellent starting point for information professionals to gain a basic understanding of fundamental concepts, then move ahead with a guided path for further research and study.
Data Mining and Knowledge Discovery in Real Life Applications
This book presents four different ways of theoretical and practical advances and applications of data mining in different promising areas like Industrialist, Biological, and Social Networks. This book will serve as a Data Mining bible to show a right way for the students, researchers and practitioners in their studies.
Introduction to Information Retrieval
This is the first book that gives you a complete picture of the complications that arise in building a modern web-scale search engine. You'll learn about ranking SVMs, XML, DNS, and LSI. You'll discover the seedy underworld of spam, cloaking, and doorway pages.
Fundamental Numerical Methods and Data Analysis
The basic premise of this book is that it can serve as the basis for a wide range of courses that discuss numerical methods used in data analysis and science. It is meant to support a series of lectures, not replace them. To reflect this, the subject matter is wide ranging and perhaps too broad for a single course.
Storage Basics: An Introduction to the Fundamentals of Storage Technology
A concise and accessible description of storage and information systems, filling a large gap in reference material for this critical topic area.
Modeling with Data: Tools and Techniques for Scientific Computing
Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results.