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» The YAGO-NAGA approach to knowledge discovery
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96
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IDEAL
2003
Springer
15 years 5 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
109
Voted
DEXA
2008
Springer
137views Database» more  DEXA 2008»
15 years 2 months ago
A Grid-Based Multi-relational Approach to Process Mining
Abstract. Industrial, scientific, and commercial applications use information systems to trace the execution of a business process. Relevant events are registered in massive logs a...
Antonio Turi, Annalisa Appice, Michelangelo Ceci, ...
89
Voted
DEXA
1995
Springer
96views Database» more  DEXA 1995»
15 years 4 months ago
Knowledge Organization for Exploration
To support applications, such as efficient browsing in large knowledge bases and cooperative knowledge discovery in large databases, the concept of rule similarity is essential. In...
Amihai Motro, Sylvie Goullioud
97
Voted
COLING
2000
15 years 1 months ago
Automatic Acquisition of Domain Knowledge for Information Extraction
In developing an Infbrmation Extraction tIE) system tbr a new class of events or relations, one of the major tasks is identifying the many ways in which these events or relations ...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen, ...
121
Voted
AUSAI
2005
Springer
15 years 6 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb