Vijay V. Raghavan Hayri Sever Jitender S. Deogun University of Southwestern...  Home/Search
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Abstract: The problem of enhancing a database management system (DBMS) to support mining applications is twofold. First DBMSs of today have limited functionality for supporting mining applications. Second scaling traditional knowledge discovery techniques for large data sets is not straightforward. We propose a mining kernel that could be incorporated into future DBMSs. The mining kernel provides a common knowledge base encapsulated by a complete set of knowledge management operators such that... (Update)
Context of citations to this paper: More
...the goals and emphases of the individual fields. Data mining may, however, heavily use theories and developments of these fields [5, 3, 6, 7, 8]. In the following we present basic differences (and or similarities) between data mining and various allied research areas. In...
.... noted that data mining is different from the goals and emphases of the individual fields, though it may heavily use their results [5, 3, 6, 7, 8]. In the following we present the basic differences (and or similarities) between a data mining problem and research interests of the...
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BibTeX entry: (Update)
Raghavan, V. V., Sever, H., & Deogun J. S. (1993). A System Architecture for Database Mining Applications. The International Workshop on Rough Set and Knowledge Discovery, Banff, Alberta, Canada. http://citeseer.ist.psu.edu/article/raghavan93system.html More
@misc{ raghavan93system,
author = "V. Raghavan and H. Sever and J. Deogun",
title = "A System Architecture for Database Mining Applications",
text = "Raghavan, V. V., Sever, H., & Deogun J. S. (1993). A System Architecture
for Database Mining Applications. The International Workshop on Rough Set
and Knowledge Discovery, Banff, Alberta, Canada.",
year = "1993",
url = "citeseer.ist.psu.edu/article/raghavan93system.html" }
Citations (may not include all citations):174 Information Filtering and Information Retrieval: Two Sides o.. (context) - Belkin, Croft - 1992
160 Knowledge Discovery in Databases (context) - Shapiro, Frawley - 1991
95 An Interval Classifier for Database Mining Applications - Agrawal, Ghosh et al. - 1992
27 RUBRIC: A system for rule-based information retrieval (context) - McCune, Tong et al. - 1985
27 Mining for Knowledge in Databases: Goals and General Descrip.. (context) - Kaufman, Michalski et al. - 1991
13 TIS: a system for content-based indexing of a database of ne.. (context) - Hayes, Weinstein - 1990
8 Learning Classification Rules from Database in the Context o.. (context) - Yasdi - 1991
5 Research Directions in Knowledge Discovery (context) - Krishnamurty, Imielinski - 1991
4 Automatic Rule-Base Generation for User-oriented Information.. (context) - Bhatia, Deogun et al. - 1990
3 USL System used for MUC (context) - Deogun, Raghavan - 1991
3 An Object-Oriented Modeling of History of Optimal Retrievals (context) - Zhang, Raghavan et al. - 1991
1 and Weyuker E (context) - Davis - 1983
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