Sciweavers

1085 search results - page 106 / 217
» Active Mining in a Distributed Setting
Sort
View
JMLR
2010
116views more  JMLR 2010»
13 years 4 months ago
Feature Selection, Association Rules Network and Theory Building
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Sanjay Chawla
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 11 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
IM
1997
13 years 11 months ago
Conflict Analysis for Management Policies
Policies are a means of influencing management behaviour within a distributed system, without coding the behaviour into the managers. Authorisation policies specify what activitie...
Emil Lupu, Morris Sloman
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
14 years 3 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 8 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup