Incremental Association Rule Mining Algorithm Based on Hadoop
نویسندگان
چکیده
منابع مشابه
Incremental Learning Algorithm for association rule Mining
These Association rule mining is to find association rules that satisfy the predefined minimum support and confidence from a given database. The Apriori and FP-tree algorithms are the most common and existing frequent itemsets mining algorithm, but these algorithms lack incremental learning ability. Incremental learning ability is desirable to solve the temporal dynamic property of knowledge an...
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Applying data mining techniques to real-world applications is a challenging task because the databases are dynamic i.e., changes are continuously taking place due to addition, deletion, modification etc., of the contained data. Generally if the dataset is incremental in nature, the frequent item sets discovering problem consumes more time. Once in a while, the new records are added in an increm...
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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 کاملIncremental association rule mining: a survey
Association rule mining is a computationally expensive task. Despite the huge processing cost, it is getting tremendous popularity due to the usefulness of the association rules. Several efficient algorithms can be found in the literature that cope with this popular task. This paper provides a comprehensive survey on the state-of-art algorithms for association rule mining, specially when the da...
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Most spatial data in GIS are not independent, they have high autocorrelation. For example, temperatures of nearby locations are often related. Most of the spatial association rule mining algorithms derived from the attribute association rule mining algorithms which assume that spatial data is independent. In these situations, the rules or knowledge derived from spatial mining will be wrong. It ...
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ژورنال
عنوان ژورنال: International Journal of Advanced Network, Monitoring and Controls
سال: 2019
ISSN: 2470-8038
DOI: 10.21307/ijanmc-2019-015