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» Efficient Discovery of Confounders in Large Data Sets
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KDD
2004
ACM
144views Data Mining» more  KDD 2004»
16 years 6 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
BMCBI
2007
265views more  BMCBI 2007»
15 years 6 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
VLDB
2007
ACM
102views Database» more  VLDB 2007»
16 years 6 months ago
Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing
Many aspects of the data integration problem have been considered in the literature: how to match schemas across different data sources, how to decide when different records refer...
Fei Xu, Chris Jermaine
DAGM
2008
Springer
15 years 8 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
ICIP
2002
IEEE
16 years 8 months ago
Data rate smoothing in interactive walkthrough applications using 2D prefetching
Compared to a geometric approach, image based rendering applied to 3D view reconstruction doesn't require 3D model construction and doesn't depend on the complexity of t...
Vitali Zagorodnov, Peter J. Ramadge