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» Graph Mining based on a Data Partitioning Approach
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106
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PKDD
2010
Springer
127views Data Mining» more  PKDD 2010»
14 years 10 months ago
Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs
Defect localisation is essential in software engineering and is an important task in domain-specific data mining. Existing techniques building on call-graph mining can localise dif...
Frank Eichinger, Klaus Krogmann, Roland Klug, Klem...
KDD
2007
ACM
186views Data Mining» more  KDD 2007»
16 years 24 days ago
Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus
We present a document routing and index partitioning scheme for scalable similarity-based search of documents in a large corpus. We consider the case when similarity-based search ...
Deepavali Bhagwat, Kave Eshghi, Pankaj Mehra
BPM
2003
Springer
115views Business» more  BPM 2003»
15 years 4 months ago
Mining Most Specific Workflow Models from Event-Based Data
This paper presents an approach on mining most specific workflow models from event-based data. The approach is embedded in the context of data mining and knowledge discovery in dat...
Guido Schimm
99
Voted
SAC
2010
ACM
15 years 7 months ago
MSP algorithm: multi-robot patrolling based on territory allocation using balanced graph partitioning
This article addresses the problem of efficient multi-robot patrolling in a known environment. The proposed approach assigns regions to each mobile agent. Every region is represen...
David Portugal, Rui Rocha
119
Voted
ICPR
2008
IEEE
16 years 1 months ago
Multiclass spectral clustering based on discriminant analysis
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
Xi Li, Zhongfei Zhang, Yanguo Wang, Weiming Hu