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» On compressing frequent patterns
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KDD
2005
ACM
92views Data Mining» more  KDD 2005»
16 years 4 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
16 years 4 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
SSD
2005
Springer
145views Database» more  SSD 2005»
15 years 9 months ago
High Performance Multimodal Networks
Networks often form the core of many users’ spatial databases. Networks are used to support the rapid navigation and analysis of linearly connected data such as that found in tra...
Erik G. Hoel, Wee-Liang Heng, Dale Honeycutt
CIKM
2009
Springer
15 years 8 months ago
Space-economical partial gram indices for exact substring matching
Exact substring matching queries on large data collections can be answered using q-gram indices, that store for each occurring q-byte pattern an (ordered) posting list with the po...
Nan Tang, Lefteris Sidirourgos, Peter A. Boncz
150
Voted
SIGMOD
2005
ACM
144views Database» more  SIGMOD 2005»
16 years 4 months ago
Mining Periodic Patterns with Gap Requirement from Sequences
We study a problem of mining frequently occurring periodic patterns with a gap requirement from sequences. Given a character sequence S of length L and a pattern P of length l, we...
Minghua Zhang, Ben Kao, David Wai-Lok Cheung, Kevi...