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Data Warehousing OLAP and Data Mining
Data Warehousing OLAP and Data Mining
This book is intended for Information Technology (IT) professionals who have been hearing about or have been tasked to evaluate, learn or implement data warehousing technologies. This book also aims at providing fundamental techniques of KDD and Data Mining as well as issues in practical use of Mining tools.

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Mining Complex Data (Studies in Computational Intelligence)
Mining Complex Data (Studies in Computational Intelligence)

Data mining and knowledge discovery can today be considered as stable fields with numerous efficient methods and studies that have been proposed to extract knowledge from data. Nevertheless, the famous golden nugget is still challenging. Actually, the context evolved since the first definition of the KDD process and knowledge has now...

Knowledge Discovery and Data Mining. Current Issues and New Applications: Current Issues and New Applications
Knowledge Discovery and Data Mining. Current Issues and New Applications: Current Issues and New Applications
The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000) was held at the Keihanna-Plaza, Kyoto, Japan, April 18 - 20, 2000. PAKDD 2000 provided an international forum for researchers and application developers to share their original research results and practical development experiences. A wide...
Data Mining for Business Applications
Data Mining for Business Applications
Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery”...
Large-Scale Parallel Data Mining (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Large-Scale Parallel Data Mining (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

With the unprecedented rate at which data is being collected today in almost all elds of human endeavor, there is an emerging economic and scienti c need to extract useful information from it. For example, many companies already have data-warehouses in the terabyte range (e.g., FedEx, Walmart). The World Wide Web has an estimated 800...

Data Mining and Knowledge Discovery Handbook (Texts and Monographs in Physics)
Data Mining and Knowledge Discovery Handbook (Texts and Monographs in Physics)

Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be...

Inductive Databases and Constraint-Based Data Mining
Inductive Databases and Constraint-Based Data Mining

This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and exciting research area. Of special interest are the recent methods for constraint-based...

Data Mining With Ontologies: Implementations, Findings and Frameworks (Premier Reference)
Data Mining With Ontologies: Implementations, Findings and Frameworks (Premier Reference)
Data mining, also referred to as knowledge discovery in databases (KDD), is a process of finding new, interesting, previously unknown, potentially useful, and ultimately understandable patterns from very large volumes of data. Data mining is a discipline which brings together database systems, statistics, artificial intelligence, machine learning,...
Advanced Methods for Knowledge Discovery from Complex Data
Advanced Methods for Knowledge Discovery from Complex Data
This book brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery. An overview of the field, looking at the issues and challenges involved is followed by coverage of recent trends in data mining. This provides the context for the subsequent chapters on methods...
Data Mining with SQL Server 2005
Data Mining with SQL Server 2005
Your in-depth guide to using the new Microsoft data mining standard to solve today's business problems

Concealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered. All you need are the right tools to extract that information and put it to use. Serving as your expert...

Machine Learning and Data Mining
Machine Learning and Data Mining
The book describes the basics of machine learning principles and algorithms that are used in data mining and is intended for students of computer science, researchers who need to adapt various algorithms for particular data mining tasks, and for education of sophisticated users of machine learning and data mining tools.

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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
The first edition of Data Mining Techniques for Marketing, Sales, and Customer Support appeared on book shelves in 1997. The book actually got its start in 1996 as Gordon and I were developing a 1-day data mining seminar for NationsBank (now Bank of America). Sue Osterfelt, a vice president at NationsBank and the author of a book on database...
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