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» Large Scale Data Mining: Challenges and Responses
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ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
16 years 16 days ago
Metropolis Algorithms for Representative Subgraph Sampling
While data mining in chemoinformatics studied graph data with dozens of nodes, systems biology and the Internet are now generating graph data with thousands and millions of nodes....
Christian Hübler, Hans-Peter Kriegel, Karsten...
CCGRID
2009
IEEE
16 years 26 days ago
Multi-scale Real-Time Grid Monitoring with Job Stream Mining
—The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward Autonomic Computing. A first step toward A...
Xiangliang Zhang, Michèle Sebag, Céc...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 11 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
AAAI
2010
15 years 7 months ago
Soundness Preserving Approximation for TBox Reasoning
Large scale ontology applications require efficient and robust description logic (DL) reasoning services. Expressive DLs usually have very high worst case complexity while tractab...
Yuan Ren, Jeff Z. Pan, Yuting Zhao
ICDE
2003
IEEE
159views Database» more  ICDE 2003»
16 years 7 months ago
Scaling up the ALIAS Duplicate Elimination System
Duplicate elimination is an important stage in integrating data from multiple sources. The challenges involved are finding a robust deduplication function that can identify when t...
Sunita Sarawagi, Alok Kirpal