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» Marking Time in Sequence Mining
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EUROCAST
2005
Springer
133views Hardware» more  EUROCAST 2005»
14 years 27 days 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 ...
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
14 years 7 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
ALMOB
2006
102views more  ALMOB 2006»
13 years 7 months ago
Mining, compressing and classifying with extensible motifs
Background: Motif patterns of maximal saturation emerged originally in contexts of pattern discovery in biomolecular sequences and have recently proven a valuable notion also in t...
Alberto Apostolico, Matteo Comin, Laxmi Parida
KDD
2000
ACM
81views Data Mining» more  KDD 2000»
13 years 11 months ago
Targeting the right students using data mining
The education domain offers a fertile ground for many interesting and challenging data mining applications. These applications can help both educators and students, and improve th...
Yiming Ma, Bing Liu, Ching Kian Wong, Philip S. Yu...
BMCBI
2010
198views more  BMCBI 2010»
13 years 7 months ago
ClustalXeed: a GUI-based grid computation version for high performance and terabyte size multiple sequence alignment
Background: There is an increasing demand to assemble and align large-scale biological sequence data sets. The commonly used multiple sequence alignment programs are still limited...
Taeho Kim, Hyun Joo