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» Optimizing Feature Sets for Structured Data
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ICDM
2003
IEEE
100views Data Mining» more  ICDM 2003»
15 years 2 months ago
Tractable Group Detection on Large Link Data Sets
Discovering underlying structure from co-occurrence data is an important task in a variety of fields, including: insurance, intelligence, criminal investigation, epidemiology, hu...
Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider
89
Voted
DIS
2010
Springer
14 years 7 months ago
Sparse Substring Pattern Set Discovery Using Linear Programming Boosting
In this paper, we consider finding a small set of substring patterns which classifies the given documents well. We formulate the problem as 1 norm soft margin optimization problem ...
Kazuaki Kashihara, Kohei Hatano, Hideo Bannai, Mas...
WADS
1997
Springer
108views Algorithms» more  WADS 1997»
15 years 1 months ago
Dynamic Data Structures for Fat Objects and Their Applications
We present several efficient dynamic data structures for point-enclosure queries, involving convex fat objects in R2 or R3. Our planar structures are actually fitted for a more ...
Alon Efrat, Matthew J. Katz, Frank Nielsen, Micha ...
CIIT
2007
133views Communications» more  CIIT 2007»
14 years 11 months ago
Linear-tree rule structure for firewall optimization
Given a list of filtering rules with individual hitting probabilities, it is known that the average processing time of a linear-search based firewall can be minimized by searchi...
Liang Zhao, A. Shimae, Hiroshi Nagamochi
CC
2009
Springer
106views System Software» more  CC 2009»
15 years 4 months ago
Blind Optimization for Exploiting Hardware Features
Software systems typically exploit only a small fraction of the realizable performance from the underlying microprocessors. While there has been much work on hardware-aware optimiz...
Dan Knights, Todd Mytkowicz, Peter F. Sweeney, Mic...