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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 3 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
15 years 7 months 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»
15 years 2 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»
13 years 5 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
15 years 5 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, ...