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IPPS
2002
IEEE
15 years 11 months ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan
KDD
1998
ACM
84views Data Mining» more  KDD 1998»
15 years 10 months ago
Similarity of Attributes by External Probes
In data mining, similarity or distance between attributes is one of the central notions. Such a notion can be used to build attribute hierarchies etc. Similarity metrics can be us...
Gautam Das, Heikki Mannila, Pirjo Ronkainen
KDD
2010
ACM
188views Data Mining» more  KDD 2010»
15 years 4 months ago
Trust network inference for online rating data using generative models
In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a f...
Freddy Chong Tat Chua, Ee-Peng Lim
IALP
2010
15 years 1 months ago
Multiple Factors-Based Opinion Retrieval and Coarse-to-Fine Sentiment Classification
With more and more reviews on the web, browsing through a mass of the related reviews becomes a heavy work. How to effectively analyzing and organizing these reviews attracts more...
Shu Zhang, Wen-Jie Jia, Yingju Xia, Yao Meng, Hao ...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 7 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil