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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 8 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
WACC
1999
ACM
14 years 2 days ago
Building a federation of process support systems
The effort in software process support has focused so far on modeling and enacting processes. A certain amount of work has been done, but little has reached a satisfactory level o...
Jacky Estublier, Mahfoud Amiour, Samir Dami
PPL
2007
86views more  PPL 2007»
13 years 7 months ago
Failure-Sensitive Analysis of Parallel Algorithms with Controlled Memory Access Concurrency
ract problem of using P failure-prone processors to cooperatively update all locations of an N-element shared array is called Write-All. Solutions to Write-All can be used iterati...
Chryssis Georgiou, Alexander Russell, Alexander A....
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
11 years 10 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
AAAI
2008
13 years 10 months ago
Resource Constrained Distributed Constraint Optimization with Virtual Variables
Cooperative problem solving with resource constraints are important in practical multi-agent systems. Resource constraints are necessary to handle practical problems including dis...
Toshihiro Matsui, Hiroshi Matsuo, Marius Silaghi, ...