Mining Books
From Web to Social Web - Discovering and Deploying User and Content Profiles
This book constitutes the refereed proceedings of the Workshop on Web Mining, WebMine 2006, held in Berlin, Germany, September 18th, 2006.
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Data Mining For Bioinformatics
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Data Mining for Bioinformatics presents a unified documentary reference of algorithms and methodologies of data mining that have been proposed and applied to problems in the arena of bioinformatics.
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Data Mining
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Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time.
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Data Mining Using Grammar Based Genetic Programming and Applications
Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining.
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Data Mining in Finance
This overview of major algorithmic approaches to predictive data mining, includes statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods. It examines the suitability of these approaches to financial data mining.
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Mining and Its Impact on the Environment
Mining activity has left a legacy of hazards to the environment, such as waste, unstable ground and contamination, which can be problematic when redeveloping land.
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