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In this exciting and major updating of one the most important textbooks for beginning qualitative researchers, David Silverman seeks to match the typical chronology of experience faced by the student-...

Panel data econometrics has evolved rapidly over the last decade. Dynamic panel data estimation, non-linear panel data methods and the phenomenal growth in non-stationary panel data econometrics makes...

Atmospheric analysis is the method of transforming the enormous and scattered database of atmospheric observations into the powerful mathematical and physical tools required to meet the growing demand...

Two-time winner of the best Computer Science and Engineering textbook of the year award from the Textbook and Academic Authors Association, including the current edition.For a one/two-semester courses...

Authored by a panel of experts in the field, this book focuses on hyperspectral image analysis, systems, and applications. With discussion of application-based projects and case studies, this professi...

Packed with detailed examples, a glossary further reading lists and a three-chapter section on writing up, this authoritative guide addresses current issues in the analysis of qualitative data by cove...

Lauded by students and instructors alike for its readability and ease of comprehension, Stats: Data and Models, Second Edition, focuses on statistical thinking and data analysis. The text incorporates...

The first book to present a unified account of symbolic data analysis methods in a consistent statistical framework, Symbolic Data Analysis features a substantial number of examples from a range of ap...

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 o...

Mining Graph Data illustrates how data mining techniques, through the application of algorithms and graphs, have been responding to the need for the collection and storage of larger and more complex v...

Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform,...

This book throws light on the data integrity landscape of the future, it shows how the whole subject of data integrity is changing and describes and positions many of the new, enhanced, more intellige...

Whatever your field, if you work with large quantities of information, this bundle is essential reading - an authoritative theoretical resource and a practical guide to meeting the toughest storage an...

The key to a successful MDM initiative isn't technology or methods, it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect. "Master D...

This volume presents state-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.Machine learning develops intelligent computer systems that ...

The Data Access Handbook Achieving Optimal Database Application Performance and Scalability John Goodson / Robert A. Steward Drive breakthrough database application performance by optimizing middlewar...

Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical l...

Set up a reliable, secure decision-support infrastructure using the cuttingedge techniques contained in this comprehensive volume. Data Warehouse Design: Modern Principles and Methodologies presents a...

A culmination of the authors' years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data...

Reviews planning and designing architecture and implementing the data warehouse. Includes discussions on how and why to apply IBM tools. Offers tips, tricks, and workarounds to ensure maximum performa...

This text provides a pocket-sized ready reference on key development data by country. The book presents 54 indicators for 206 countries and regional income country groups. "The Little Data Book 2002" ...

For courses in Business Data Communications, Data Communications and Introductory Networking for business students.This text presents the fundamental concepts of data communications, networking, distr...

Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence In today's world, businesses are becoming more capable of a...

Introduction to Business Data Mining was developed to introduce students, as opposed to professional practitioners or engineering students, to the fundamental concepts of data mining. Most importantly...

You already have the answer to boosting your eBay sales and profits... You just have to know where to look. Turn eBay Data into Dollars shows you how to use the powerful tools available on eBay to sel...

For undergraduate, graduate , and MBA courses in Business Data Communications, Introduction to Data Communications, Telecommunications, and Introduction to Networking. The most current data communicat...

Practical Haematology covers all of the techniques used in the investigation of patients with blood disorders, including the latest technologies as well as the tried and true manual methods of measure...

This is a practical, step-by-step approach to making sense out of data. "Making Sense of Data" educates readers on the steps and issues that need to be considered in order to successfully complete a d...

This groundbreaking book is the first in the Kimball Toolkit series to be product-specific. Microsoft other chapters and sections will focus on business issues that are interesting to a database admin...

Mathematical Statistics and Data Analysis (International student edition) (Hardback)