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KDD
1995
ACM
139views Data Mining» more  KDD 1995»
13 years 7 months ago
Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment
Eficient and efiective discovery of resource and knowledge from the Internet has become an imminent research issue, especially with the advent of the Information Super-Highway. A ...
Osmar R. Zaïane, Jiawei Han
KDD
1995
ACM
182views Data Mining» more  KDD 1995»
13 years 7 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
KDD
1995
ACM
104views Data Mining» more  KDD 1995»
13 years 7 months ago
Fast Spatio-Temporal Data Mining of Large Geophysical Datasets
Paul E. Stolorz, Hisashi Nakamura, Edmond Mesrobia...
KDD
1995
ACM
128views Data Mining» more  KDD 1995»
13 years 7 months ago
Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach
The main objective of machine discovery is the determination of relations between data and of data models. In the paper we describe a method for discovery of data models represent...
Andrzej Skowron, Zbigniew Suraj
KDD
1995
ACM
91views Data Mining» more  KDD 1995»
13 years 7 months ago
Using Recon for Data Cleaning
Evangelos Simoudis, Brian Livezey, Randy Kerber
KDD
1995
ACM
95views Data Mining» more  KDD 1995»
13 years 7 months ago
On Subjective Measures of Interestingness in Knowledge Discovery
One of the central problems in the field of knowledge discovery is the development of good measures of interestingness of discovered patterns. Such measures of interestingness are...
Abraham Silberschatz, Alexander Tuzhilin
KDD
1995
ACM
104views Data Mining» more  KDD 1995»
13 years 7 months ago
Using Rough Sets as Tools for Knowledge Discovery
An attribute-oriented rough set method for knowledgediscovery in databases is described. Themethodis based on information generalization, whichexaminesthe data at various levels o...
Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Ni...
KDD
1995
ACM
129views Data Mining» more  KDD 1995»
13 years 7 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss