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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 17 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 13 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 ...
KDD
1998
ACM
101views Data Mining» more  KDD 1998»
15 years 11 months ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos
KDD
2000
ACM
145views Data Mining» more  KDD 2000»
15 years 10 months ago
IntelliClean: a knowledge-based intelligent data cleaner
Existing data cleaning methods work on the basis of computing the degree of similarity between nearby records in a sorted database. High recall is achieved by accepting records wi...
Mong-Li Lee, Tok Wang Ling, Wai Lup Low