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» Graph Mining using Graph Pattern Profiles
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107
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MSR
2005
ACM
15 years 8 months ago
Mining version histories to verify the learning process of Legitimate Peripheral Participants
Since code revisions reflect the extent of human involvement in the software development process, revision histories reveal the interactions and interfaces between developers and...
Shih-Kun Huang, Kang-min Liu
123
Voted
DMIN
2006
151views Data Mining» more  DMIN 2006»
15 years 4 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
146
Voted
CPHYSICS
2006
124views more  CPHYSICS 2006»
15 years 2 months ago
Collision-free spatial hash functions for structural analysis of billion-vertex chemical bond networks
State-of-the-art molecular dynamics (MD) simulations generate massive datasets involving billion-vertex chemical bond networks, which makes data mining based on graph algorithms s...
Cheng Zhang, Bhupesh Bansal, Paulo S. Branicio, Ra...
127
Voted
ICPR
2008
IEEE
16 years 3 months ago
Learning motion patterns in crowded scenes using motion flow field
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Min Hu, Mubarak Shah, Saad Ali
150
Voted
BPM
2006
Springer
166views Business» more  BPM 2006»
15 years 6 months ago
Process Mining by Measuring Process Block Similarity
Mining, discovering, and integrating process-oriented services has attracted growing attention in the recent year. Workflow precedence graph and workflow block structures are two i...
Joonsoo Bae, James Caverlee, Ling Liu, Hua Yan