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DASFAA
2011
IEEE
270views Database» more  DASFAA 2011»
14 years 10 months ago
AutoBayesian: Developing Bayesian Networks Based on Text Mining
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Sandeep Raghuram, Yuni Xia, Jiaqi Ge, Mathew Palak...
ICDM
2009
IEEE
146views Data Mining» more  ICDM 2009»
16 years 1 months ago
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
Dima Alberg, Mark Last, Roni Neuman, Avi Sharon
ICDM
2008
IEEE
110views Data Mining» more  ICDM 2008»
16 years 1 months ago
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
David A. Cieslak, Nitesh V. Chawla
ICDM
2005
IEEE
133views Data Mining» more  ICDM 2005»
16 years 19 days ago
Summarization - Compressing Data into an Informative Representation
In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...
Varun Chandola, Vipin Kumar
PAKDD
2005
ACM
146views Data Mining» more  PAKDD 2005»
16 years 15 days ago
An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning ...