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» Finding Time Series Motifs in Disk-Resident Data
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KDD
2009
ACM
221views Data Mining» more  KDD 2009»
14 years 8 months ago
Migration motif: a spatial - temporal pattern mining approach for financial markets
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee,...
BMCBI
2010
86views more  BMCBI 2010»
13 years 7 months ago
The oligodeoxynucleotide sequences corresponding to never-expressed peptide motifs are mainly located in the non-coding strand
Background: We study the usage of specific peptide platforms in protein composition. Using the pentapeptide as a unit of length, we find that in the universal proteome many pentap...
Giovanni Capone, Giuseppe Novello, Candida Fasano,...
KDD
2009
ACM
168views Data Mining» more  KDD 2009»
14 years 8 months ago
Sustainable operation and management of data center chillers using temporal data mining
Motivation: Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the re...
Debprakash Patnaik, Manish Marwah, Ratnesh K. Shar...
IEAAIE
2009
Springer
14 years 1 months ago
Robust Singular Spectrum Transform
Change Point Discovery is a basic algorithm needed in many time series mining applications including rule discovery, motif discovery, casual analysis, etc. Several techniques for c...
Yasser F. O. Mohammad, Toyoaki Nishida
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
14 years 7 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee