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COMPSAC
2004
IEEE
14 years 2 months ago
Efficient Partial Multiple Periodic Patterns Mining without Redundant Rules
Partial periodic patterns mining is a very interesting domain in data mining problem. In the previous studies, full and partial multiple periodic patterns mining problems are cons...
Wenpo Yang, Guanling Lee
VLDB
2005
ACM
122views Database» more  VLDB 2005»
14 years 4 months ago
Streaming Pattern Discovery in Multiple Time-Series
In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...
Spiros Papadimitriou, Jimeng Sun, Christos Falouts...
ECAI
2008
Springer
14 years 19 days ago
Multi-valued Pattern Databases
Pattern Databases were a major breakthrough in heuristic search by solving hard combinatorial problems various orders of magnitude faster than state-of-the-art techniques at that ...
Carlos Linares López
ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
14 years 4 months ago
Sequential Pattern Mining in Multiple Streams
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
Gong Chen, Xindong Wu, Xingquan Zhu
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
14 years 26 days ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye