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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 6 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
CIKM
2009
Springer
16 years 27 days ago
Evaluation of methods for relative comparison of retrieval systems based on clickthroughs
The Cranfield evaluation method has some disadvantages, including its high cost in labor and inadequacy for evaluating interactive retrieval techniques. As a very promising alter...
Jing He, Chengxiang Zhai, Xiaoming Li
CODES
2009
IEEE
16 years 1 months ago
On compile-time evaluation of process partitioning transformations for Kahn process networks
Kahn Process Networks is an appealing model of computation for programming and mapping applications onto multi-processor platforms. Autonomous processes communicate through unboun...
Sjoerd Meijer, Hristo Nikolov, Todor Stefanov
KDD
1998
ACM
123views Data Mining» more  KDD 1998»
15 years 10 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
GECCO
2000
Springer
15 years 10 months ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith