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» CACM: past, present, and future
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GRC
2008
IEEE
13 years 11 months ago
Granular Computing: Past, Present and Future
Granular computing is gradually changing from a label to a new field of study. The driving forces, the major schools of thought, and the future research directions on granular co...
Yiyu Yao
KER
2011
13 years 20 days ago
Data mining: past, present and future
Data mining has become a well established discipline within the domain of Artificial Intelligence (AI) and Knowledge Engineering (KE). It has its roots in machine learning and st...
Frans Coenen
ECEASST
2006
114views more  ECEASST 2006»
13 years 9 months ago
Semantic Issues of OCL: Past, Present, and Future
We report on the results of a long-term project to formalize the semantics of OCL 2.0 in Higher-order Logic (HOL). The ultimate goal of the project is to provide a formalized, mach...
Achim D. Brucker, Jürgen Doser, Burkhart Wolf...
JCIT
2007
98views more  JCIT 2007»
13 years 9 months ago
Load Indices on Heterogeneous Systems- Past, Present and Future
To achieve superior performance levels when working with heterogeneous distributed platforms, processscheduling decisions must be based essentially on the platform’s features an...
Kalinka Regina Lucas Jaquie Castelo Branco, Edward...
COMPSAC
2004
IEEE
14 years 1 months ago
Adaptive Time-Critical Resource Management Using Time/Utility Functions: Past, Present, and Future
Time/utility function time constraints (or TUFs) and utility accrual (UA) scheduling optimality criteria, constitute, arguably, the most effective and broadest approach for adapti...
Peng Li, Binoy Ravindran, E. Douglas Jensen