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

buoyant

Book 20102nd editionTo be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data..Data Mining and Knowledge Discovery Han

Reverie

Handling Missing Attribute Values with all known attribute values. In parallel methods, there is no preprocessing, i.e., knowledge is acquired directly from the original data sets. In this chapter the main emphasis is put on rule induction. Methods of handling attribute values for decision tree generation are only briefly summarized.

Postulate

Dimension Reduction and Feature Selectionocessing 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 to reduce dimensionality with minimum loss of information. Clear dimension reduction taxonomy is described and techniques for dimension reduction are presented theoretically.

食道

PAN

Spinal-Fusion

流利圆滑

Conjuction