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» Using Rough Sets as Tools for Knowledge Discovery
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AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
15 years 4 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
98
Voted
PAKDD
1999
ACM
124views Data Mining» more  PAKDD 1999»
15 years 4 months ago
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
Empirical equations are an important class of regularities that can be discovered in databases. In this paper we concentrate on the role of equations as de nitions of attribute val...
Zbigniew W. Ras, Jan M. Zytkow
80
Voted
SUM
2007
Springer
15 years 6 months ago
Valued Hesitation in Intervals Comparison
Abstract. The paper presents a valued extension of the recently introduced concept of PQI interval order. The main idea is that, while comparing objects represented by interval of ...
Meltem Öztürk, Alexis Tsoukiàs
ISMDA
2001
Springer
15 years 4 months ago
Web-Enabled Knowledge-Based Analysis of Genetic Data
We present a web-based implementation of GenePath, an intelligent assistant tool for data analysis in functional genomics. GenePath considers mutant data and uses expert-defined pa...
Peter Juvan, Blaz Zupan, Janez Demsar, Ivan Bratko...
114
Voted
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
16 years 18 days ago
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul B...