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» Finding Sequential Patterns from Large Sequence Data
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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
15 years 10 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
BMCBI
2007
151views more  BMCBI 2007»
14 years 9 months ago
Identification of hot regions in protein-protein interactions by sequential pattern mining
Background: Identification of protein interacting sites is an important task in computational molecular biology. As more and more protein sequences are deposited without available...
Chen-Ming Hsu, Chien-Yu Chen, Baw-Jhiune Liu, Chih...
KDD
2008
ACM
243views Data Mining» more  KDD 2008»
15 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
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
13 years 12 hour ago
The long and the short of it: summarising event sequences with serial episodes
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Nikolaj Tatti, Jilles Vreeken
77
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EMNLP
2007
14 years 11 months ago
Finding Good Sequential Model Structures using Output Transformations
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelā...
Edward Loper