Titlebook: Data Mining and Knowledge Discovery Handbook; Oded Maimon,Lior Rokach Book 20102nd edition Springer Science+Business Media, LLC 2010 Bayes

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書目名稱Data Mining and Knowledge Discovery Handbook影響因子(影響力)學(xué)科排名




書目名稱Data Mining and Knowledge Discovery Handbook網(wǎng)絡(luò)公開度




書目名稱Data Mining and Knowledge Discovery Handbook網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Mining and Knowledge Discovery Handbook被引頻次




書目名稱Data Mining and Knowledge Discovery Handbook被引頻次學(xué)科排名




書目名稱Data Mining and Knowledge Discovery Handbook年度引用




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書目名稱Data Mining and Knowledge Discovery Handbook讀者反饋




書目名稱Data Mining and Knowledge Discovery Handbook讀者反饋學(xué)科排名

小爭吵

Data Cleansing: A Prelude to Knowledge Discovery surveyed and reviewed and a brief overview of existing data cleansing tools is given. A general framework of the data cleansing process is presented as well as a set of general methods that can be used to address the problem. The applicable methods include statistical outlier detection, pattern mat

Altitude

intoxicate

dura-mater

Dimension Reduction and Feature Selectionge data sets. Reducing dimensionality (the number of attributed or the number of records) can effectively cut this cost. This chapter focuses a pre-processing step which removes dimension from a given data set before it is fed to a data mining algorithm. This work explains how it is often possible t

ALOFT

ALOFT

PHAG

Supervised Learningsed in subsequent chapters. It presents basic definitions and arguments from the supervised machine learning literature and considers various issues, such as performance evaluation techniques and challenges for data mining tasks.

LAPSE

兩種語言

Bayesian Networksntal aspects of Bayesian networks and some of their technical aspects, with a particular emphasis on the methods to induce Bayesian networks from different types of data. Basic notions are illustrated through the detailed descriptions of two Bayesian network applications: one to survey data and one