Publication date
January 1999
DOI Publisher
Springer Science and Business Media LLCAbstract
Contains fulltext : 84506.pdf (author's version ) (Open Access)Third International Symposium on Advances in Intelligent Data Analysi
Contains fulltext : 84506.pdf (author's version ) (Open Access)Third International Symposium on Advances in Intelligent Data Analysi
碩士資訊工程學系[[abstract]]分群法(clustering)及關聯性法則探勘(association rules mining)是資料探勘領域中兩種重要的方法。分群法主要用來分析尚未整理以及...
Data mining is an important feature for making association rules among the greatest scope of item se...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
Association rules and clustering are fundamental data min-ing techniques used for dierent goals. We ...
The main goal of cluster analysis is to classify elements into groupsbased on their similarity. Clus...
Mining association rule bases from integrated genomic data and annotations (extended version
Association rules mining is one of several ways of knowledge discovery in databases. Paradoxically, ...
Abstract — Association rule mining is a way to find interesting associations among different large s...
This paper shows some new procedures and ideas in data mining. We try to find new ways, how to impro...
Auch erschienen in: Batagelj, Vladimir u.a. (Hrsg.): Data science and classification. (Studies in cl...
Available from British Library Document Supply Centre- DSC:DXN057900 / BLDSC - British Library Docum...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...
This project examines the data mining paradigms known as association rules and cluster analysis, the...
This project examines the data mining paradigms known as association rules and cluster analysis, the...
Generating rules from quantitative data has been widely studied ever since Agarwal and Srikanth expl...
碩士資訊工程學系[[abstract]]分群法(clustering)及關聯性法則探勘(association rules mining)是資料探勘領域中兩種重要的方法。分群法主要用來分析尚未整理以及...
Data mining is an important feature for making association rules among the greatest scope of item se...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
Association rules and clustering are fundamental data min-ing techniques used for dierent goals. We ...
The main goal of cluster analysis is to classify elements into groupsbased on their similarity. Clus...
Mining association rule bases from integrated genomic data and annotations (extended version
Association rules mining is one of several ways of knowledge discovery in databases. Paradoxically, ...
Abstract — Association rule mining is a way to find interesting associations among different large s...
This paper shows some new procedures and ideas in data mining. We try to find new ways, how to impro...
Auch erschienen in: Batagelj, Vladimir u.a. (Hrsg.): Data science and classification. (Studies in cl...
Available from British Library Document Supply Centre- DSC:DXN057900 / BLDSC - British Library Docum...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...
This project examines the data mining paradigms known as association rules and cluster analysis, the...
This project examines the data mining paradigms known as association rules and cluster analysis, the...
Generating rules from quantitative data has been widely studied ever since Agarwal and Srikanth expl...
碩士資訊工程學系[[abstract]]分群法(clustering)及關聯性法則探勘(association rules mining)是資料探勘領域中兩種重要的方法。分群法主要用來分析尚未整理以及...
Data mining is an important feature for making association rules among the greatest scope of item se...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
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