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» Efficiently Mining Long Patterns from Databases
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CIKM
2004
Springer
14 years 24 days ago
Scalable sequential pattern mining for biological sequences
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
Ke Wang, Yabo Xu, Jeffrey Xu Yu
ICDE
2006
IEEE
120views Database» more  ICDE 2006»
14 years 1 months ago
Top-Down Mining of Interesting Patterns from Very High Dimensional Data
Hongyan Liu, Jiawei Han, Dong Xin, Zheng Shao
ICDE
2002
IEEE
92views Database» more  ICDE 2002»
14 years 8 months ago
Efficient Indexing Structures for Mining Frequent Patterns
Bin Lan, Beng Chin Ooi, Kian-Lee Tan
CIB
2004
57views more  CIB 2004»
13 years 7 months ago
Identifying Global Exceptional Patterns in Multi-database Mining
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Z...
DATAMINE
2000
118views more  DATAMINE 2000»
13 years 7 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...