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ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
13 years 5 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
HICSS
2002
IEEE
101views Biometrics» more  HICSS 2002»
14 years 9 days ago
Groupware Case Studies: Electronic Meeting Systems in the Work Place
This paper presents data collected from 5 real-world (federal, state and commercial) groups as they undertook their real-world (Business Process Reengineering (BPR) and Joint Appl...
Gail Corbitt, Ben Martz
DATAMINE
2008
219views more  DATAMINE 2008»
13 years 7 months ago
Correlating burst events on streaming stock market data
Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
ECML
2006
Springer
13 years 11 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
DMIN
2006
239views Data Mining» more  DMIN 2006»
13 years 8 months ago
Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification
In this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analy...
Jo Ting, Tak-Chung Fu, Fu-Lai Chung