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AAAI
1996
15 years 4 months ago
Learning Models for Multi-Source Integration
One issue involved in accessing multiple heterogeneous information sources is how to integrate the retrieved data. SIMS, an information mediator, handles this problem by mapping t...
Sheila Tejada, Craig A. Knoblock, Steven Minton
WWW
2007
ACM
16 years 4 months ago
Web page classification with heterogeneous data fusion
Web pages are more than text and they contain much contextual and structural information, e.g., the title, the meta data, the anchor text, etc., each of which can be seen as a dat...
Zenglin Xu, Irwin King, Michael R. Lyu
168
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ATAL
2007
Springer
15 years 9 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
126
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CAISE
1999
Springer
15 years 7 months ago
A Practical Approach to Access Heterogeneous and Distributed Databases
A common problem within most large corporations nowadays is the diversity of database systems that are employed by their many departments in the development of a product. Usually, ...
Fernando de Ferreira Rezende, Ulrich Hermsen, Geor...
130
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CLUSTER
2006
IEEE
15 years 3 months ago
A flexible multi-dimensional QoS performance measure framework for distributed heterogeneous systems
When users' tasks in a distributed heterogeneous computing environment (e.g., cluster of heterogeneous computers) are allocated resources, the total demand placed on some sys...
Jong-Kook Kim, Debra A. Hensgen, Taylor Kidd, Howa...