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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 4 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
253
Voted
KCAP
2005
ACM
15 years 9 months ago
Collaboratory testbed partnerships as a knowledge capture challenge
The difficulty of maintaining effective testbed partnerships, among users of computer-based tools and builders of those tools, has been an obstacle to the success of science colla...
Mary A. Keeler, Heather D. Pfeiffer
115
Voted
AP2PC
2003
Springer
15 years 8 months ago
K-Trek: A Peer-to-Peer Approach to Distribute Knowledge in Large Environments
In this paper, we explore an architecture, called K-Trek, that enables mobile users to travel across knowledge distributed over large geographical areas (ranging from large public ...
Paolo Busetta, Paolo Bouquet, Giordano Adami, Matt...
COMPSAC
1998
IEEE
15 years 7 months ago
Tools for the Knowledge Analyst: An Information Superiority Visionary Demonstration
This paper describes the application of a suite of innovative information processing and analytic support tools developed at The MITRE Corporation, in some cases as extensions of ...
Mark T. Maybury
113
Voted
ECAI
1992
Springer
15 years 7 months ago
Towards a Cooperation Knowledge Level For Collaborative Problem Solving
The cooperation knowledge level is a new computer level specifically for multi-agent problem solvers which describes rich and explicit models of common social phenomena. A cooperat...
Nicholas R. Jennings