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» Improving Mining Quality by Exploiting Data Dependency
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SDM
2011
SIAM
243views Data Mining» more  SDM 2011»
14 years 2 months ago
Data Integration via Constrained Clustering: An Application to Enzyme Clustering
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
15 years 1 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
ECML
2005
Springer
15 years 5 months ago
A Distance-Based Approach for Action Recommendation
Abstract. Rule induction has attracted a great deal of attention in Machine Learning and Data Mining. However, generating rules is not an end in itself because their applicability ...
Ronan Trepos, Ansaf Salleb, Marie-Odile Cordier, V...
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
14 years 10 months ago
On optimal AUV track-spacing for underwater mine detection
— This work addresses the task of designing the optimal survey route that an autonomous underwater vehicle (AUV) should take in mine countermeasures (MCM) operations. It is assum...
David P. Williams
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
15 years 6 months ago
Finding Good Itemsets by Packing Data
The problem of selecting small groups of itemsets that represent the data well has recently gained a lot of attention. We approach the problem by searching for the itemsets that c...
Nikolaj Tatti, Jilles Vreeken