Learn IT - Books tags kdd

Reliable Knowledge Discovery

Springer, 2012

With the rapid development of the data mining and knowledge discovery, a key issue which could significantly affect the real world applications of data mining is the reliability issues of knowledge discovery. It is natural that people will ask if the discovered knowledge is reliable. Why do we trust the discovered knowledge? How...

Large-Scale Parallel Data Mining (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

Springer, 2000

With the unprecedented rate at which data is being collected today in almost all elds of human endeavor, there is an emerging economic and scientic 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...

Inductive Databases and Constraint-Based Data Mining

Springer, 2010

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...

Information Visualization in Data Mining and Knowledge Discovery

Morgan Kaufmann, 2001

Mainstream data mining techniques significantly limit the role of human reasoning and insight. Likewise, in data visualization, the role of computational analysis is relatively small. The power demonstrated individually by these approaches to knowledge discovery suggests that somehow uniting the two could lead to increased efficiency and more...

Data Mining and Knowledge Discovery Handbook

Springer, 2005

This handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified whole. The book first surveys, then provides comprehensive yet concise algorithmic descriptions of classic methods plus recently-developed extensions and...

Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications

World Scientific Publishing, 2005

The book presents an interesting and pleasant introduction to the topic, which can guide the reader to the knowledge of the existing decomposition methods, and to the choice of those most promising for the problems he has to face. -- Zentralblatt MATH

Data Mining is the science and technology of exploring data in...

Data Mining With Ontologies: Implementations, Findings and Frameworks (Premier Reference)

Idea Group Publishing, 2007

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

Springer, 2005

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 Techniques: For Marketing, Sales, and Customer Relationship Management

John Wiley & Sons, 2004

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...

Data Mining with SQL Server 2005

John Wiley & Sons, 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...

Mining the Web: Analysis of Hypertext and Semi Structured Data (The Morgan Kaufmann Series in Data Management Systems)

Morgan Kaufmann, 2002

Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for extracting and producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issuesincluding Web crawling and indexingChakrabarti examines machine learning techniques as...

Machine Learning and Data Mining

Woodhead Publishing, 2007

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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