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KDD
1999
ACM
166views Data Mining» more  KDD 1999»
13 years 10 months ago
CACTUS - Clustering Categorical Data Using Summaries
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
13 years 10 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
KDD
1999
ACM
128views Data Mining» more  KDD 1999»
13 years 10 months ago
Towards Automated Synthesis of Data Mining Programs
Code synthesis is routinely used in industry to generate GUIs, form lling applications, and database support code and is even used with COBOL. In this paper we consider the questi...
Wray L. Buntine, Bernd Fischer 0002, Thomas Pressb...
KDD
1999
ACM
220views Data Mining» more  KDD 1999»
13 years 10 months ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
KDD
1999
ACM
206views Data Mining» more  KDD 1999»
13 years 10 months ago
Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions
Efficiently answering decision support queries is an important problem. Most of the work in this direction has been in the context of the data cube. Queries are efficiently answer...
Jayavel Shanmugasundaram, Usama M. Fayyad, Paul S....