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WWW
2005
ACM
16 years 7 months ago
Sampling search-engine results
We consider the problem of efficiently sampling Web search engine query results. In turn, using a small random sample instead of the full set of results leads to efficient approxi...
Aris Anagnostopoulos, Andrei Z. Broder, David Carm...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 10 months ago
A new version of the ant-miner algorithm discovering unordered rule sets
The Ant-Miner algorithm, first proposed by Parpinelli and colleagues, applies an ant colony optimization heuristic to the classification task of data mining to discover an ordered...
James Smaldon, Alex Alves Freitas
KDD
1999
ACM
166views Data Mining» more  KDD 1999»
15 years 10 months ago
CACTUS - Clustering Categorical Data Using Summaries
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
AE
2005
Springer
16 years 3 hour ago
A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm
This work proposes a new rule pruning procedure for Ant-Miner, an Ant Colony algorithm that discovers classification rules in the context of data mining. The performance of Ant-Min...
Allen Chan, Alex Alves Freitas
AI
2001
Springer
15 years 11 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner