Data Mining and Knowledge Discovery Handbook (Springer by Oded Maimon, Lior Rokach

By Oded Maimon, Lior Rokach

This publication organizes key thoughts, theories, criteria, methodologies, traits, demanding situations and functions of information mining and information discovery in databases. It first surveys, then offers accomplished but concise algorithmic descriptions of equipment, together with vintage tools plus the extensions and novel tools built lately. It additionally supplies in-depth descriptions of information mining functions in quite a few interdisciplinary industries.

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Redman, T. The Notion of Data and Its Quality Dimensions, Information Processing and Management 1994; 30(1):9-19. Galhardas, H. Data Cleaning: Model, Language and Algoritmes. , 2001. , Discovering Information Patterns and Data Cleaning. In Advances in Knowledge Discovery and Data Mining, Fayyad, U. , eds. MIT Press/AAAI Press, 1996. Hamming, R. , Coding and Information Theory. New Jersey, Prentice-Hall, 1980. , Williams, G. , & Baxter, R. A. Outlier Detection Using Replicator Neural Networks.

1, with the attributes Temperature, Headache, and Nausea and with the decision Flu. , some attribute values are missing. ”s. The set of all cases with the same decision value is called a concept. 1, case set {1, 2, 4, 8} is a concept of all cases such that the value of Flu is yes. There is variety of reasons why data sets are affected by missing attribute values. Some attribute values are not recorded because they are irrelevant. For example, a doctor was able to diagnose a patient without some medical tests, or a home owner was asked to evaluate the quality of air conditioning while the home was not equipped with an air conditioner.

Kluwer, 2001. , Archibald, B. , & Liu, X. Learning Approaches for Detecting and Tracking News Events, IEEE Intelligent Systems 1999; 14(4). , & Zhang, A. FindOut: Finding Outliers in Very Large Datasets, Knowledge and Information Systems 2002; 4(4):387-412. , Yuan, S. , & Ling, T. W. A new efficient data cleansing method. Proceedings of 13th International Conference on Database and Expert Systems Applications; 2002 September 02-06; 484-493. 3 Handling Missing Attribute Values Jerzy W. Grzymala-Busse1 and Witold J.

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