A small mining community in New Zealand is devastated when 'the snow tiger' (an avalanche) rips apart their entire township in a matter of minutes, killing fifty-four people. In the course of the ensuing enquiry, the antagonisms and fears of the community are laid bare, and a ruthless battle, for control of a multi-million pound international mining group, is exposed. The tension in the courtroom mounts as each survivor gives his graphic account of the terrifying sequence of events.
Applied Data Mining for Business and Industry,2 ed
The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book pres an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications.
Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience.
Data Mining: Practical Machine Learning Tools and Techniques (Second Edition)
Added by: wjwj1 | Karma: 227.97 | Fiction literature | 16 September 2007
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Features of the book * Explains how data mining algorithms work. * Helps you select appropriate approaches to particular problems and to compare and evaluate the results of different techniques. * Covers performance improvement techniques, including input preprocessing and combining output from different methods. * Shows you how to use the Weka machine learning workbench.
Data Mining: Concepts and Techniques, Second Edition
“The second
edition of Han and Kamber Data Mining: Concepts and
Techniques updates and improves the already
comprehensive coverage of the first edition and adds coverage of new and
important topics, such as mining stream data, mining social networks, and
mining spatial, multimedia, and other complex data. This book will be an excellent textbook for
courses on Data Mining and Knowledge Discovery.”
“The second
edition is the most complete and up-to-date presentation on this topic. Compared to the already comprehensive and
thorough coverage of the first edition, it adds the state-of-the-art research
results in new topics such as mining stream, time-series and sequence data as
well as mining spatial, multimedia, text and Web data. This book is a must-have for all instructors,
researchers, developers and users in the area of data mining and knowledge
discovery.”
-
Hans-Peter Kriegel,
University of Munich,
Germany
