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» Identifying Stock Similarity Based on Multi-event Episodes
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AUSDM
2008
Springer
274views Data Mining» more  AUSDM 2008»
13 years 6 months ago
Identifying Stock Similarity Based on Multi-event Episodes
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...
Abhi Dattasharma, Praveen Kumar Tripathi, Sridhar ...
INTEROP
1999
Springer
126views GIS» more  INTEROP 1999»
13 years 9 months ago
Identifying Semantically Similar Elements in Heterogeneous Spatial Databases Using Predicate Logic Expressions
For data to be successfully integrated, semantically similar database elements must be identified as candidates for merging. However, there may be significant differences between ...
Kristin Stock, David Pullar
CVPR
2009
IEEE
14 years 12 months ago
Learning from Ambiguously Labeled Images
In many image and video collections, we have access only to partially labeled data. For example, personal photo collections often contain several faces per image and a caption t...
Benjamin Sapp, Benjamin Taskar, Chris Jordan, Timo...
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
13 years 10 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...