CARM: Context Based Association Rule Mining for Conventional Data
نویسندگان
چکیده
منابع مشابه
Data sanitization in association rule mining based on impact factor
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...
متن کاملdata sanitization in association rule mining based on impact factor
data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. it transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...
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Background Association Rule Mining is concerned with the identification of patterns in data where the records comprise binary valued attributes (yes/no). The patterns are frequently co-occurring sets of values called Frequent Item Sets. These can be used to generate probabilistic rules of the form “if A exists in the data set then B is also likely to exist in the data set”, called Association R...
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Pre Prospection data mining model for hydrocarbon development guides to the need of developing a model for prospection activity for which the data of surface indicators collected through remote sensing and microbial sources can be used. This chapter proposes a new approach to mine context based positive and negative spatial association rules. Researchers are using Apriori algorithm on spatial d...
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ژورنال
عنوان ژورنال: Computers, materials & continua
سال: 2021
ISSN: ['1546-2218', '1546-2226']
DOI: https://doi.org/10.32604/cmc.2021.016766