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» Mining Periodic Patterns in Sequence Data
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ISMIS
2009
Springer
14 years 3 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
14 years 21 days ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
ICDE
2009
IEEE
173views Database» more  ICDE 2009»
13 years 6 months ago
Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database
There is a huge wealth of sequence data available, for example, customer purchase histories, program execution traces, DNA, and protein sequences. Analyzing this wealth of data to ...
Bolin Ding, David Lo, Jiawei Han, Siau-Cheng Khoo
KDD
2004
ACM
144views Data Mining» more  KDD 2004»
14 years 9 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
EUROCAST
2005
Springer
133views Hardware» more  EUROCAST 2005»
14 years 2 months ago
An Iterative Method for Mining Frequent Temporal Patterns
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
Francisco Guil, Antonio B. Bailón, Alfonso ...