A Guided Tour through the Data Mining Jungle

A Guided Tour through the Data Mining Jungle

Cached

Download Links

by Robert Engels , Guido Lindner , Rudi Studer

Citations:

BibTeX

@MISC{Engels_aguided,
    author = {Robert Engels and Guido Lindner and Rudi Studer},
    title = {A Guided Tour through the Data Mining Jungle},
    year = {}
}

Years of Citing Articles

Bookmark

OpenURL

Abstract

An important success factor for the field of KDD lies in the development and integration of methods for supporting the construction and execution of KDD processes. Crucial aspects

Citations

39	The CommonKADS Library for Expertise Modelling - Breuker, Velde - 1994
38	R.: Characterizing the applicability of classification algorithms using meta level learning - Brazdil, Gama, et al. - 1994
27	Deconstructing statistical questions - Hand - 1994
25	Domain and task modeling - Angele, Fensel, et al. - 1996
23	Planning tasks for knowledge discovery in databases; performing taskoriented user-guidance - Engels - 1996
14	Domain and Task Modeling in MIKE - Angele, Fensel, et al. - 1996
13	Applying classification algorithms in practice - Brodley, Smyth - 1997
9	CONSULTANT: Providing Advice for the Machine Learning Toolbox - Craw, Sleeman, et al. - 1992
8	Final public report - Consortium - 1993
5	Detecting early indicator cars in an automotive database: A multi-strategy approach - Wirth, Reinartz - 1996
4	Characterizing the applicability of classi - cation algorithms using Meta-Level Learning - Brazdil, Gama, et al. - 1994
2	Kads: A modelling approach to knowledge engineering (special issue - Wielinga, Schreiber, et al. - 1992
1	The Process of Discovery in Databases: Human-Centered Approach - Brachman, Anand - 1996
1	Applications of Inductive Learning Techniques: A - Verdenius - 1997