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» Mining Sequential Patterns across Time Sequences
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ACSC
2002
IEEE
13 years 11 months ago
Using Finite State Automata for Sequence Mining
We show how frequently occurring sequential patterns may be found from large datasets by first inducing a finite state automaton model describing the data, and then querying the m...
Philip Hingston
BIBM
2007
IEEE
133views Bioinformatics» more  BIBM 2007»
13 years 6 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...
BMCBI
2007
151views more  BMCBI 2007»
13 years 6 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...
DMIN
2006
138views Data Mining» more  DMIN 2006»
13 years 8 months ago
Mining Complete Hybrid Sequential Patterns
We discovered that the set of frequent hybrid sequential patterns obtained by previous researches is incomplete, due to the inapplicability of the Apriori principle. We design and ...
Chichang Jou
ADBIS
2001
Springer
115views Database» more  ADBIS 2001»
13 years 11 months ago
Interactive Constraint-Based Sequential Pattern Mining
Data mining is an interactive and iterative process. It is very likely that a user will execute a series of similar queries differing in pattern constraints and mining parameters,...
Marek Wojciechowski