Titlebook: Data Mining for Design and Manufacturing; Methods and Applicat Dan Braha Book 2001 Springer Science+Business Media Dordrecht 2001 DES.class

Regurgitation

Terminology in fault detection and diagnosisntrivial extraction of implicit, previously unknown and potentially useful information from data in databases. The main focus of the chapter is on different data mining methodologies and their relative strengths and weaknesses.

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Femish

MOTTO

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伪书

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An Evaluation of Sampling Methods for Data Mining with Fuzzy C-Meansfectiveness is shown in terms of the representative-ness of sampling data and both the accuracy and errors of sampled data sets when subjected to the fuzzy clustering algorithm. Two population data in the weld inspection domain were used for the evaluation. Based on the results obtained, a number of observations are made.

Dorsal-Kyphosis

Data Mining: An Introductionntrivial extraction of implicit, previously unknown and potentially useful information from data in databases. The main focus of the chapter is on different data mining methodologies and their relative strengths and weaknesses.

Constitution

A Survey of Methodologies and Techniques for Data Mining and Intelligent Data Discoverysuch a technology are presented. A six-step methodology for data mining is then presented and discussed. The goals and methods of this process are then explained, coupled with a presentation of a number of techniques that are making the data mining process faster and more reliable. These techniques

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