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» An Empirical Study of Similarity Search in Stock Data
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JMLR
2010
134views more  JMLR 2010»
15 years 28 days ago
Bayesian Algorithms for Causal Data Mining
We present two Bayesian algorithms CD-B and CD-H for discovering unconfounded cause and effect relationships from observational data without assuming causal sufficiency which prec...
Subramani Mani, Constantin F. Aliferis, Alexander ...
WEBI
2009
Springer
16 years 22 days ago
Zero-Sum Reward and Punishment Collaborative Filtering Recommendation Algorithm
In this paper, we propose a novel memory-based collaborative filtering recommendation algorithm. Our algorithm use a new metric named influence weight, which is adjusted with ze...
Nan Li, Chunping Li
ICDE
2010
IEEE
200views Database» more  ICDE 2010»
15 years 6 months ago
Towards better entity resolution techniques for Web document collections
— As person names are non-unique, the same name on different Web pages might or might not refer to the same real-world person. This entity identification problem is one of the m...
Surender Reddy Yerva, Zoltán Miklós,...
CVPR
2012
IEEE
13 years 8 months ago
Spherical hashing
Many binary code encoding schemes based on hashing have been actively studied recently, since they can provide efficient similarity search, especially nearest neighbor search, an...
Jae-Pil Heo, Youngwoon Lee, Junfeng He, Shih-Fu Ch...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
16 years 6 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...