FEIMA: A Fuzzy Constraint-based Approach to Sequential Pattern Mining with Efficient Interactive Mining
碩士 === 元智大學 === 資訊工程學系 === 93 === Sequential pattern mining is an important data mining problem with broad applications. It is challenging mainly because one may need to examine a large number of possible subsequence patterns and their combinations. In order to reduce the number of combinations to b...
Main Authors: | YU, KUNG-HUA, 游宮華 |
---|---|
Other Authors: | K. Robert Lai |
Format: | Others |
Language: | en_US |
Published: |
2005
|
Online Access: | http://ndltd.ncl.edu.tw/handle/79833201827245716704 |
Similar Items
-
A Fuzzy Constraint-based Approach to Sequential Pattern Mining with Efficient Interactive Mining
by: 游宮華
Published: (2005) -
Mining Sequential Patterns with Pattern Constraints
by: Bai-En Shie, et al.
Published: (2006) -
Efficient Mining and Maintaining Algorithms for Sequential Patterns
by: Wei-Hua Hao, et al.
Published: (2008) -
Mining Fuzzy Time Sequential Patterns
by: Pei-Yu Liao, et al.
Published: (2007) -
Efficient Approaches for Mining Consecutive Sequential Patterns
by: Ho-Yi chang, et al.
Published: (2008)