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CORR
2010
Springer
186views Education» more  CORR 2010»
13 years 5 months ago
Significant Interval and Frequent Pattern Discovery in Web Log Data
There is a considerable body of work on sequence mining of Web Log Data We are using One Pass frequent Episode discovery (or FED) algorithm, takes a different approach than the tr...
Kanak Saxena, Rahul Shukla
DIS
1998
Springer
13 years 9 months ago
Discovering Characteristic Patterns from Collections of Classical Japanese Poems
Abstract. Waka is a form of traditional Japanese poetry with a 1300year history. In this paper, we attempt to discover characteristics common to a collection of waka poems. As a fo...
Mayumi Yamasaki, Masayuki Takeda, Tomoko Fukuda, I...
ICDM
2009
IEEE
145views Data Mining» more  ICDM 2009»
13 years 2 months ago
Significance of Episodes Based on Minimal Windows
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
Nikolaj Tatti
ISMB
1996
13 years 6 months ago
Discovering Patterns and Subfamilies in Biosequences
Weconsider the problemof automaticdiscoveryof patterns and the corresponding subfamilies in a set of biosequences. Thesequences are unaligned and may contain noise of unknownlevel...
Alvis Brazma, Inge Jonassen, Esko Ukkonen, Jaak Vi...
ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
13 years 10 months ago
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
The data stream captured by recording inhabitantdevice interactions in an environment can be mined to discover significant patterns, which an intelligent agent could use to automa...
Edwin O. Heierman III, Diane J. Cook