A fully sensitive correlation measure for data mining
Campello, R. J. G. B., and Hruschka, E. R. (2008) A fully sensitive correlation measure for data mining. In: WIT Transactions on Information and Communication Technologies (40) pp. 35-41. From: Data Mining IX: 9th International Conference on Data Mining, Protection, Detection and Other Security Technologies, 2008, Cadiz, Spain.
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Abstract
This paper introduces a novel sequence correlation measure that is fully sensitive to both the ranks and magnitudes of the sequences under evaluation. This measure can be more appropriate than the existing ones in those application scenarios in which such a full sensitivity is desired. The applicability of the new measure in data mining tasks is motivated.
| Item ID: | 47606 |
|---|---|
| Item Type: | Conference Item (Non-Refereed Research Paper) |
| ISBN: | 978-1-84564-110-8 |
| Keywords: | correlation indexes, clustering analysis |
| Funders: | CNPq, Brazil, FAPESP |
| Date Deposited: | 08 Mar 2017 07:40 |
| FoR Codes: | 01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics @ 100% |
| SEO Codes: | 97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100% |
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