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MSR
2010
ACM
13 years 10 months ago
Identifying security bug reports via text mining: An industrial case study
-- A bug-tracking system such as Bugzilla contains bug reports (BRs) collected from various sources such as development teams, testing teams, and end users. When bug reporters subm...
Michael Gegick, Pete Rotella, Tao Xie
KDD
2004
ACM
114views Data Mining» more  KDD 2004»
14 years 8 months ago
Scalable mining of large disk-based graph databases
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
Chen Wang, Wei Wang 0009, Jian Pei, Yongtai Zhu, B...
ICDE
2009
IEEE
290views Database» more  ICDE 2009»
14 years 10 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
DATAMINE
2000
115views more  DATAMINE 2000»
13 years 8 months ago
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
Data mining on large data warehouses is becoming increasingly important. In support of this trend, we consider a spectrum of architectural alternatives for coupling mining with da...
Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal
SIGMOD
2000
ACM
173views Database» more  SIGMOD 2000»
13 years 11 months ago
Efficient Algorithms for Mining Outliers from Large Data Sets
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim