Vertical partitioning algorithms for database design
ACM Transactions on Database Systems (TODS)
Vertical partitioning for database design: a graphical algorithm
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Knowledge-based artificial neural networks
Artificial Intelligence
Automated Refinement of First-Order Horn-Clause Domain Theories
Machine Learning
Distributed and Parallel Databases
Principles of distributed database systems (2nd ed.)
Principles of distributed database systems (2nd ed.)
Distributed Object Based Design: Vertical Fragmentation of Classes
Distributed and Parallel Databases
Selectivity estimation using probabilistic models
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Machine Learning
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
The Connectionist Inductive Learning and Logic Programming System
Applied Intelligence
Learning Probabilistic Models of Relational Structure
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
Towards an Inductive Design of Distributed Object Oriented Databases
COOPIS '98 Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems
Learning Logic Programs with Neural Networks
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Vertical fragmentation in distributed object database systems with complex attributes and methods
DEXA '96 Proceedings of the 7th International Workshop on Database and Expert Systems Applications
A Distribution Design Methodology for Object DBMS
Distributed and Parallel Databases
Scaling up: distributed machine learning with cooperation
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
A Distribution Design Methodology for Object DBMS
Distributed and Parallel Databases
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The performance of applications on Object Oriented Database Ma-nagement Systems (OODBs) is strongly affected by Distribution Design, which reduces irrelevant data accessed by applications and data exchange among sites. In an OO environment, the Distributed Design is a complex task, and an open research problem. In this work, we present a knowledge-based approach for the vertical fragmentation phase of the distributed design of object-oriented databases. In this approach, we show a Prolog implementation of a vertical fragmentation algorithm, and describe how it can be used as background knowledge for a knowledge discovery/revision process through In-ductive Logic Programming (ILP). The objective of the work is to extend our framework proposed to handle the class fragmentation problem, showing the viability of automatically improving the vertical fragmentation algorithm to produce more efficient fragmentation schemas, using a theory revision system. We do not intend to propose the best vertical fragmentation algorithm. We concentrate here on the process of revising a vertical fragmentation algorithm through knowledge discovery techniques, rather than only obtaining a final optimal algorithm.