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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
2007
ACM
186views Data Mining» more  KDD 2007»
16 years 6 months 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
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 6 months ago
Group formation in large social networks: membership, growth, and evolution
The processes by which communities come together, attract new members, and develop over time is a central research issue in the social sciences -- political movements, professiona...
Lars Backstrom, Daniel P. Huttenlocher, Jon M. Kle...
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 6 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...
POPL
2007
ACM
16 years 6 months ago
Cork: dynamic memory leak detection for garbage-collected languages
A memory leak in a garbage-collected program occurs when the program inadvertently maintains references to objects that it no longer needs. Memory leaks cause systematic heap grow...
Maria Jump, Kathryn S. McKinley