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KDD
1997
ACM
131views Data Mining» more  KDD 1997»
13 years 11 months ago
Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach
An approach to defining actionability as a measure of interestingness of patterns is proposed. This approach is based on the concept of an action hierarchy which is defined as a t...
Gediminas Adomavicius, Alexander Tuzhilin
KDD
1997
ACM
117views Data Mining» more  KDD 1997»
13 years 11 months ago
Deep Knowledge Discovery from Natural Language Texts
Weintroduceaknowledge-basedapproachto deepknowledge discoveryfrom real-world naturallanguagetexts. Datamining, datainterpretation,anddatacleaningareall incorporatedin cycles of qu...
Udo Hahn, Klemens Schnattinger
SSD
1997
Springer
140views Database» more  SSD 1997»
13 years 11 months ago
Spatial Data Mining: A Database Approach
Abstract. Knowledge discovery in databases (KDD) is an important task in spatial databases since both, the number and the size of such databases are rapidly growing. This paper int...
Martin Ester, Hans-Peter Kriegel, Jörg Sander
KDD
1997
ACM
120views Data Mining» more  KDD 1997»
13 years 11 months ago
Discovering Trends in Text Databases
We describe a system we developed for identifying trends in text documents collected over a period of time. Trends can be used, for example, to discover that a company is shifting...
Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant
KDD
1997
ACM
135views Data Mining» more  KDD 1997»
13 years 11 months ago
Brute-Force Mining of High-Confidence Classification Rules
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
Roberto J. Bayardo Jr.