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IS
2007
13 years 10 months ago
Mining association rules in very large clustered domains
Emerging applications introduce the requirement for novel association-rule mining algorithms that will be scalable not only with respect to the number of records (number of rows) ...
Alexandros Nanopoulos, Apostolos N. Papadopoulos, ...
TKDE
2008
234views more  TKDE 2008»
13 years 10 months ago
Probabilistic Group Nearest Neighbor Queries in Uncertain Databases
The importance of query processing over uncertain data has recently arisen due to its wide usage in many real-world applications. In the context of uncertain databases, previous wo...
Xiang Lian, Lei Chen 0002
TKDE
2008
134views more  TKDE 2008»
13 years 10 months ago
Contraflow Transportation Network Reconfiguration for Evacuation Route Planning
Given a transportation network having source nodes with evacuees and destination nodes, we want to find a contraflow network configuration (that is, ideal direction for each edge) ...
Sangho Kim, Shashi Shekhar, Manki Min
JSS
2007
88views more  JSS 2007»
13 years 10 months ago
SQUIRE: Sequential pattern mining with quantities
Discovering sequential patterns is an important problem for many applications. Existing algorithms find qualitative sequential patterns in the sense that only items are included ...
Chulyun Kim, Jong-Hwa Lim, Raymond T. Ng, Kyuseok ...
SIAMCOMP
2000
88views more  SIAMCOMP 2000»
13 years 10 months ago
Gadgets, Approximation, and Linear Programming
We present a linear programming-based method for nding \gadgets", i.e., combinatorial structures reducing constraints of one optimization problem to constraints of another. A...
Luca Trevisan, Gregory B. Sorkin, Madhu Sudan, Dav...