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Machine Learning and Data Mining

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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.

Machine learning has exhibited tremendous progress in the last two decades. Numerous systems for machine learning are nowadays available and the number of their applications in various fields, such as industry, medicine, economics, ecology, finance, and many others, is rapidly growing. Machine learning is used for data analysis and knowledge discovery in databases, data mining, automatic generation of knowledge bases for expert systems, game playing, text classification and text mining, automatic recognition of speech, handwriting, images, etc.

The basic principle of machine learning is modeling of available data. Results of various machine learning systems may be rules, functions, relations, equation systems, probability distributions and other knowledge representations. The obtained "knowledge" aims to explain the data and can be used for forecasting, diagnostics, control, validation, and simulations.

Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions.

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