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» Mining Patterns in Long Sequential Data with Noise
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GRC
2010
IEEE
13 years 8 months ago
Local Pattern Mining from Sequences Using Rough Set Theory
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
Ken Kaneiwa, Yasuo Kudo
IJAR
2011
118views more  IJAR 2011»
12 years 11 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo
KDD
1998
ACM
183views Data Mining» more  KDD 1998»
13 years 12 months ago
Mining Generalized Association Rules and Sequential Patterns Using SQL Queries
Database integration of mining is becoming increasingly important with tile installation of larger and larger data warehouses built around relational database technology. Most of ...
Shiby Thomas, Sunita Sarawagi
KDD
2003
ACM
145views Data Mining» more  KDD 2003»
14 years 8 months ago
Carpenter: finding closed patterns in long biological datasets
The growth of bioinformatics has resulted in datasets with new characteristics. These datasets typically contain a large number of columns and a small number of rows. For example,...
Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang...
VLDB
1999
ACM
188views Database» more  VLDB 1999»
13 years 12 months ago
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications, and the World Wide Web. Conventio...
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim