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KDD
2009
ACM
163views Data Mining» more  KDD 2009»
16 years 7 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
16 years 7 months ago
Mining phenotypes and informative genes from gene expression data
Mining microarray gene expression data is an important research topic in bioinformatics with broad applications. While most of the previous studies focus on clustering either gene...
Chun Tang, Aidong Zhang, Jian Pei
VLDB
2004
ACM
112views Database» more  VLDB 2004»
16 years 7 months ago
Tracking set-expression cardinalities over continuous update streams
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. In i...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
EDBT
2008
ACM
166views Database» more  EDBT 2008»
16 years 7 months ago
OrthoCluster: a new tool for mining synteny blocks and applications in comparative genomics
By comparing genomes among both closely and distally related species, comparative genomics analysis characterizes structures and functions of different genomes in both conserved a...
Xinghuo Zeng, Matthew J. Nesbitt, Jian Pei, Ke Wan...
ICDE
2010
IEEE
258views Database» more  ICDE 2010»
16 years 1 months ago
Anonymized Data: Generation, models, usage
Data anonymization techniques have been the subject of intense investigation in recent years, for many kinds of structured data, including tabular, item set and graph data. They e...
Graham Cormode, Divesh Srivastava