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» Mining Sectorial Episodes from Event Sequences
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GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
13 years 11 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse
PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
14 years 1 months ago
Temporal Sequence Associations for Rare Events
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
Jie Chen, Hongxing He, Graham J. Williams, Huidong...
DAWAK
2004
Springer
14 years 1 months ago
Mining Periodic Patterns in Sequence Data
Abstract. Periodic pattern mining is the problem that regards temporal regularity. There are many emerging applications in periodic pattern mining, including web usage recommendati...
Kuo-Yu Huang, Chia-Hui Chang
BMCBI
2010
127views more  BMCBI 2010»
13 years 7 months ago
PeptideMine - A webserver for the design of peptides for protein-peptide binding studies derived from protein-protein interactom
Background: Signal transduction events often involve transient, yet specific, interactions between structurally conserved protein domains and polypeptide sequences in target prote...
Khader Shameer, Lalima L. Madan, Shivamurthy Veera...
BPM
2009
Springer
175views Business» more  BPM 2009»
14 years 2 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira