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In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-guided mining: given a metarule containing p predicates, we compare mining on an n-dimensional (n-D) cube structure (where p < n) with mining on smaller multiple pdimensional cubes.(More)
A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases and data warehouses. The system implements a wide spectrum of data mining functions, including characterization, comparison, association, clas-siication, prediction, and clustering. By incorporating several interesting data(More)
A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases. The system implements a wide spectrum of data mining functions, including generalization, characterization, association, classii-cation, and prediction. By incorporating several interesting data mining techniques, including(More)
Multimedia data mining is the mining of high-level multimedia information and knowledge from large multimedia databases. A multimedia data mining system prototype, MultiMediaMiner, has been designed and developed. It includes the construction of a multimedia data cube which facilitates multiple dimensional analysis of multimedia data, primarily based on(More)
Data warehouses and OLAP engines are expected to be widely available in the near future. The data in data warehouses has been cleansed, integrated, and preprocessed, and infrastructures have been built surrounding data warehouses for eecient data analysis. Therefore, data warehouses or OLAP databases are expected to be a major platform for data mining in(More)
Similarity search on time-series data sets is of growing importance in data mining. With the increasing amount of data of time-series in many applications, from nancial to scientiic, it is important to study the methods of retrieving similarity patterns eeciently and user friendly for business decision making. The thesis proposes methods of eecient(More)
Based on our years-of-research, a data mining system, DB-Miner, has been developed for interactive mining of multiple-level knowledge in large relational databases. The system implements a wide spectrum of data mining functions, including generalization, characterization, association, classification, and prediction. By incorporation of several interesting(More)
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