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WINE
2005
Springer
268views Economy» more  WINE 2005»
14 years 3 months ago
Mining Stock Market Tendency Using GA-Based Support Vector Machines
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Lean Yu, Shouyang Wang, Kin Keung Lai
GRC
2010
IEEE
13 years 10 months ago
Local Pattern Mining from Sequences Using Rough Set Theory
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
Ken Kaneiwa, Yasuo Kudo
ADMI
2009
Springer
14 years 4 months ago
A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents
Abstract. In this work, we describe the process used in order to predict the bidding strategy of trading agents. This was done in the context of the Reverse TAC, or CAT, game of th...
Vivia Nikolaidou, Pericles A. Mitkas
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
14 years 4 months ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas
CGF
2010
189views more  CGF 2010»
13 years 9 months ago
Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns
Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
Gennady L. Andrienko, Natalia V. Andrienko, Sebast...