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IDEAS
2006
IEEE
98views Database» more  IDEAS 2006»
14 years 29 days ago
PAID: Mining Sequential Patterns by Passed Item Deduction in Large Databases
Sequential pattern mining is very important because it is the basis of many applications. Yet how to efficiently implement the mining is difficult due to the inherent characteri...
Zhenglu Yang, Masaru Kitsuregawa, Yitong Wang
CIT
2007
Springer
13 years 11 months ago
Mining Multiple Large Databases
: Effective data analysis using multiple databases requires highly accurate patterns. Local pattern analysis might extract low quality patterns from multiple large databases. Thus,...
Animesh Adhikari, P. R. Rao, Jhimli Adhikari
ICDE
2009
IEEE
290views Database» more  ICDE 2009»
14 years 8 months ago
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
Sayan Ranu, Ambuj K. Singh
BMCBI
2005
156views more  BMCBI 2005»
13 years 6 months ago
DynGO: a tool for visualizing and mining of Gene Ontology and its associations
Background: A large volume of data and information about genes and gene products has been stored in various molecular biology databases. A major challenge for knowledge discovery ...
Hongfang Liu, Zhang-Zhi Hu, Cathy H. Wu
SDM
2007
SIAM
106views Data Mining» more  SDM 2007»
13 years 8 months ago
Approximating Representations for Large Numerical Databases
The paper introduces a notion of support for realvalued functions. It is shown how to approximate supports of a large class of functions based on supports of so called polynomial ...
Szymon Jaroszewicz, Marcin Korzen