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ATAL
2007
Springer
15 years 10 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
DBPL
1989
Springer
165views Database» more  DBPL 1989»
15 years 8 months ago
Support for Data-Intensive Applications: Conceptual Design and Software Development
In the process of developing an Information System, one passes through stages that include requirements gathering, design specification, and software implementation. The purpose ...
Alexander Borgida, John Mylopoulos, Joachim W. Sch...
ACMICEC
2004
ACM
171views ECommerce» more  ACMICEC 2004»
15 years 10 months ago
Efficient integration of web services with distributed data flow and active mediation
This paper presents a loosely coupled service-composition paradigm. This paradigm employs a distributed data flow that differs markedly from centralized information flow adopted b...
David Liu, Jun Peng, Kincho H. Law, Gio Wiederhold
160
Voted
IPPS
2010
IEEE
15 years 2 months ago
Improving MapReduce performance through data placement in heterogeneous Hadoop clusters
MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop
Jiong Xie, Shu Yin, Xiaojun Ruan, Zhiyang Ding, Yu...
149
Voted
ICA3PP
2005
Springer
15 years 10 months ago
GridMD: Program Architecture for Distributed Molecular Simulation
In the present work we describe architectural concepts of the distributed molecular simulation package GridMD. The main purpose of this work is to underline the construction patter...
Ilya Valuev