Clustering a DAG for CAD Databases
IEEE Transactions on Software Engineering
On the performance of object clustering techniques
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
A decomposition-based simulated annealing technique for data clustering
PODS '94 Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
A Spatio-Temporal Semantic Model for Multimedia Database Systems and Multimedia Information Systems
IEEE Transactions on Knowledge and Data Engineering
Object and File Management in the EXODUS Extensible Database System
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
NeuroRule: A Connectionist Approach to Data Mining
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
A Stochastic Model for Content-Based Image Retrieval
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A unified framework for image database clustering and content-based retrieval
Proceedings of the 2nd ACM international workshop on Multimedia databases
| Hi-index | 0.00 |
The World Wide Web (WWW) has become one of the fastest growing applications on the Internet today. More and more information sources have linked online through WWW, but finding information on the WWW is also a great challenge. For most of the users, the information retrieved is not well organized and the access time is considered high on the WWW currently. Therefore, there is a need to develop a good mechanism to organize and manage the tremendous size and various kinds of information to facilitate the functionality of a search engine for information retrieval on the WWW. In response to such a demand, we propose a Markov Model Mediator (MMM) mechanism, which employs the affinity-based data mining techniques to organize and manage the information sources so that the most relevant documents are clustered together to achieve higher recall and precision values for information retrieval on the WWW.