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» A new algorithm for gap constrained sequence mining
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IPM
2006
151views more  IPM 2006»
13 years 7 months ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 8 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
IDEAS
2008
IEEE
256views Database» more  IDEAS 2008»
14 years 2 months ago
WIDS: a sensor-based online mining wireless intrusion detection system
This paper proposes WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purp...
Christie I. Ezeife, Maxwell Ejelike, Akshai K. Agg...
PAMI
2007
164views more  PAMI 2007»
13 years 7 months ago
Space-Time Completion of Video
—This paper presents a new framework for the completion of missing information based on local structures. It poses the task of completion as a global optimization problem with a ...
Yonatan Wexler, Eli Shechtman, Michal Irani
RECOMB
2006
Springer
14 years 7 months ago
Simple and Fast Inverse Alignment
For as long as biologists have been computing alignments of sequences, the question of what values to use for scoring substitutions and gaps has persisted. While some choices for s...
John D. Kececioglu, Eagu Kim