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SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
16 years 3 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar
CLUSTER
2008
IEEE
16 years 1 months ago
In search of sweet-spots in parallel performance monitoring
—Parallel performance monitoring extends parallel measurement systems with infrastructure and interfaces for online performance data access, communication, and analysis. At the s...
Aroon Nataraj, Allen D. Malony, Allen Morris, Dori...
ICDAR
2007
IEEE
16 years 1 months ago
Simultaneous Layout Style and Logical Entity Recognition in a Heterogeneous Collection of Documents
Logical entity recognition in heterogeneous collections of document page images remains a challenging problem since the performance of traditional supervised methods degrade drama...
S. Chen, S. Mao, G. Thoma
DOLAP
2004
ACM
16 years 5 days ago
A new OLAP aggregation based on the AHC technique
Nowadays, decision support systems are evolving in order to handle complex data. Some recent works have shown the interest of combining on-line analysis processing (OLAP) and data...
Riadh Ben Messaoud, Omar Boussaid, Sabine Rabas&ea...
CSB
2003
IEEE
150views Bioinformatics» more  CSB 2003»
16 years 1 days ago
Algorithms for Bounded-Error Correlation of High Dimensional Data in Microarray Experiments
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...