Study on the Technology Trend Screening Framework Using Unsupervised Learning
Study on the Technology Trend Screening Framework Using Unsupervised Learning
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Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Outliers that deviate from a normal distribution are typically removed during the analysis process. However, the patterns of outliers are recognized as important information in the outlier detection method. This study proposes a technology trend screening framework based on a machine learning algorithm using outliers. The proposed method is as foll...
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Full title
Study on the Technology Trend Screening Framework Using Unsupervised Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_6a41ca3f6d7b476aafcc7808e236e930
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6a41ca3f6d7b476aafcc7808e236e930
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app12178920
