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» Efficiently Mining Long Patterns from Databases
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SIGMOD
1998
ACM
93views Database» more  SIGMOD 1998»
15 years 1 months ago
Efficiently Mining Long Patterns from Databases
We present a pattern-mining algorithm that scales roughly linearly in the number of maximal patterns embedded in a database irrespective of the length of the longest pattern. In c...
Roberto J. Bayardo Jr.
ICDE
1999
IEEE
148views Database» more  ICDE 1999»
15 years 11 months ago
Efficient Mining of Partial Periodic Patterns in Time Series Database
Partial periodicity search, i.e., search for partial periodic patterns in time-series databases, is an interesting data mining problem. Previous studies on periodicity search main...
Jiawei Han, Guozhu Dong, Yiwen Yin
DATAMINE
2006
142views more  DATAMINE 2006»
14 years 9 months ago
Sequential Pattern Mining in Multi-Databases via Multiple Alignment
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
KDD
2002
ACM
189views Data Mining» more  KDD 2002»
15 years 10 months ago
Sequential PAttern mining using a bitmap representation
We introduce a new algorithm for mining sequential patterns. Our algorithm is especially efficient when the sequential patterns in the database are very long. We introduce a novel...
Jay Ayres, Jason Flannick, Johannes Gehrke, Tomi Y...