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ICDE
2009
IEEE
115views Database» more  ICDE 2009»
14 years 11 months ago
Efficient Evaluation of Multiple Preference Queries
Consider multiple users searching for a hotel room, based on size, cost, distance to the beach, etc. Users may have variable preferences expressed by different weights on the attri...
Leong Hou U, Nikos Mamoulis, Kyriakos Mouratidis
ICDE
2004
IEEE
125views Database» more  ICDE 2004»
14 years 11 months ago
Range CUBE: Efficient Cube Computation by Exploiting Data Correlation
Data cube computation and representation are prohibitively expensive in terms of time and space. Prior work has focused on either reducing the computation time or condensing the r...
Ying Feng, Divyakant Agrawal, Amr El Abbadi, Ahmed...
ICML
2004
IEEE
14 years 10 months ago
Co-EM support vector learning
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
Ulf Brefeld, Tobias Scheffer
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
14 years 10 months ago
Partial example acquisition in cost-sensitive learning
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
Victor S. Sheng, Charles X. Ling
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
14 years 10 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng