Abstract | ||
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We present XRM, an XML-based language capable of promoting the collaboration among data mining sys- tems. XRM is a general framework to express any system results and/or data as logic formulas. In this way, XRM offers flexibility to represent data, constraints and pa tterns, and allows mining systems to present their results in an exchangeable format. In this work, we concentrate on the use of XRM to represent different forms of association rules. XRM is built on XML Schema. |
Year | Venue | Keywords |
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2004 | ICEIS (1) | logic formula.,xml schema,data mining tools,association rule,xml,data mining |
Field | DocType | Citations |
Data mining,Information retrieval,XML,Computer science,Document Structure Description,XML schema,Association rule learning,Rule mining,XML Schema Editor | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
beatrice bouchou | 1 | 91 | 10.71 |
Ahmed Cheriat | 2 | 23 | 2.62 |
Mirian Halfeld Ferrari Alves | 3 | 91 | 12.44 |
Tao-Yuan Jen | 4 | 41 | 6.51 |
Dominique Laurent | 5 | 336 | 41.56 |