Automatically assigned DDC number: 006312

Manually assigned DDC number: 006312

Number of references: 16

Title: Advances in Predictive Model Generation for Data Mining

Author:

Author:

Subject: Se June Hong,Sholom M. Weiss Advances in Predictive Model Generation for Data Mining

Description: Predictivemodelshave been widely used long before the development of the new field that wecall data mining. Expanding application demand for data mining of ever increasing data warehouses, and the need for understandability of predictive models with increased accuracy of prediction, all have fueled recentadvances in automated predictive methods. We first examine a few successful application areas and technical challenges they present. We discuss some theoretical developments in PAC learning and statistical learning theory leading to the emergence of support vector machines. We then examine some technical advances made in enhancing the performance of the models both in accuracy (boosting, bagging, stacking) and scalability of modeling through distributed model generation. Relatively new techniques for selecting good feature variables, feature discretization, generating probabilistic models, and the use of practical measures for performance will also be discussed. Keywords: rules, deci...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1999-10-04

Pubyear: 1999

Format: pdf

Identifier: http://citeseer.ist.psu.edu/256504.html

Source: http://www.research.ibm.com/dar/papers/pdf/hongweiss99_with_cover.pdf

Language: en

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Rights: unrestricted

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