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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 7 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
16 years 7 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...
ICDE
2012
IEEE
277views Database» more  ICDE 2012»
13 years 9 months ago
Aggregate Query Answering on Possibilistic Data with Cardinality Constraints
— Uncertainties in data arise for a number of reasons: when the data set is incomplete, contains conflicting information or has been deliberately perturbed or coarsened to remov...
Graham Cormode, Divesh Srivastava, Entong Shen, Ti...
SIGMOD
2008
ACM
159views Database» more  SIGMOD 2008»
16 years 6 months ago
Bootstrapping pay-as-you-go data integration systems
Data integration systems offer a uniform interface to a set of data sources. Despite recent progress, setting up and maintaining a data integration application still requires sign...
Anish Das Sarma, Xin Dong, Alon Y. Halevy
ADC
2007
Springer
145views Database» more  ADC 2007»
16 years 22 days ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro