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» IncSpan: incremental mining of sequential patterns in large ...
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KDD
2008
ACM
243views Data Mining» more  KDD 2008»
14 years 10 months ago
Permu-pattern: discovery of mutable permutation patterns with proximity constraint
Pattern discovery in sequences is an important problem in many applications, especially in computational biology and text mining. However, due to the noisy nature of data, the tra...
Meng Hu, Jiong Yang, Wei Su
FSKD
2008
Springer
123views Fuzzy Logic» more  FSKD 2008»
13 years 11 months ago
PartSpan: Parallel Sequence Mining of Trajectory Patterns
The trajectory pattern mining problem has recently attracted increasing attention. This paper precisely addresses the parallel mining problem of trajectory patterns as well as the...
Shaojie Qiao, Changjie Tang, Shucheng Dai, Mingfan...
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
14 years 1 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
ICDE
2004
IEEE
116views Database» more  ICDE 2004»
14 years 11 months ago
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...
Ding-Ying Chiu, Yi-Hung Wu, Arbee L. P. Chen
BIBM
2007
IEEE
133views Bioinformatics» more  BIBM 2007»
13 years 10 months ago
Mining Clinical Data with a Temporal Dimension: A Case Study
Clinical databases store large amounts of information about patients and their medical conditions. Data mining techniques can extract relationships and patterns holding in this we...
Michele Berlingerio, Francesco Bonchi, Fosca Giann...