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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
16 years 7 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
16 years 7 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
199
Voted
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 7 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
SIGMOD
2009
ACM
213views Database» more  SIGMOD 2009»
16 years 7 months ago
Dictionary-based order-preserving string compression for main memory column stores
Column-oriented database systems [19, 23] perform better than traditional row-oriented database systems on analytical workloads such as those found in decision support and busines...
Carsten Binnig, Stefan Hildenbrand, Franz Fär...
SAC
2010
ACM
16 years 2 months ago
Web-based graphical querying of databases through an ontology: the Wonder system
Biological scientists have made large amounts of data available on the Web, which can be accessed by canned or precomputed queries presented via web forms. To satisfy further info...
Diego Calvanese, C. Maria Keet, Werner Nutt, Maria...
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