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Data Mining - Concepts

Data Mining – Concepts, Models, Methods, and Algorithms Free Download [ EPUB + PDF ]| Ebook Free Download PDF 

Data Mining – Concepts, Models, Methods, and Algorithms Free – Data Mining: Concepts, Models, Methods and Algorithms provides a coverage of emerging techniques and methodologies in data mining. It gives a clear overview of many new tools, techniques and approaches in this field.

Data mining is the process of analysing large sets of data from different perspectives and summarising the results for practical applications. These results help in determining the impact of the discovered relationships and patterns on various aspects of an organisation’s operations and also aid in decision making.

Data mining is gaining increasing credence as a business tool and is growing at an explosive pace. New tools and methodologies are emerging to aid in the process and each has its own strengths and weaknesses. This book reviews several of these state – of – the – art technologies and approaches in data mining.

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The book begins by defining the concept of data mining, discusses the basic principles and then takes a close look at the different techniques used in this field. for each approach, the book provides detailed algorithms and illustrative examples.

This book discusses the different data mining methodologies and the underlying principles these are based on. These techniques are based on principles from many different fields like statistics, neural networks, machine learning, evolutionary computation and fuzzy logic.

The book, besides offering clear explanations of the different approaches and tools, also offers practical advice. It guides the readers on how and when to choose a particular software tool to analyse a data set. The decision might depend on many factors like the industry and the particular context in which the analysis is being conducted.

Data Mining: Concepts, Models, Methods and Algorithms was published in 2011 by Wiley – Blackwell. This 552 – page book is in its 2nd edition and is available in hardcover.

Key Features:

The book covers new techniques and approaches in data mining, like Support Vector Machines (SVM) and Kohonen Maps (Self – Organising Maps: SOM).
This edition also contains new sections covering spatial, temporal, web, parallel, text and distributed data mining.
There is a more extensive discussion of the privacy, legal and security aspects of data mining technology.

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