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Tsai et al., 2019 - Google Patents

The optimal combination of feature selection and data discretization: An empirical study

Tsai et al., 2019

Document ID
16979157339626476955
Author
Tsai C
Chen Y
Publication year
Publication venue
Information Sciences

External Links

Snippet

Feature selection and data discretization are two important data pre-processing steps in data mining, with the focus in the former being on filtering out unrepresentative features and in the latter on transferring continuous attributes into discrete ones. In the literature, these …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
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