Distributed association rule mining with minimum communication overhead
نویسندگان
چکیده
منابع مشابه
Distributed Association Rule Mining with Minimum Communication Overhead
In distributed association rule mining algorithm, one of the major and challenging hindrances is to reduce the communication overhead. Data sites are required to exchange lot of information in the data mining process which may generates massive communication overhead. In this paper we propose an association rule mining algorithm which minimizes the communication overhead among the participating...
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Existing parallel association rule mining algorithms suffer from many problems when mining massive transactional datasets. One major problem is that most of the parallel algorithms for a shared nothing environment are Aprioribased algorithms. Apriori-based algorithms are proven to be not scalable due to many reasons, mainly: (1) the repetitive I/O disk scans, (2) the huge computation and commun...
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Data mining is an iterative and interactive process that explores and analyzes voluminous digital data to discover valid, novel, and meaningful patterns (Mohammed, 1999). Since digital data may have terabytes of records, data mining techniques aim to find patterns using computationally efficient techniques. It is related to a subarea of statistics called exploratory data analysis. During the pa...
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Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, the discovering of such hidden patterns has statistical meaning and may often disclose some sensitive information. As a result, privacy becomes one of the prime concerns in the datamining research community. Since distributed association mining discovers ass...
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ژورنال
عنوان ژورنال: Journal Européen des Systèmes Automatisés
سال: 2019
ISSN: 1269-6935,2116-7087
DOI: 10.18280/jesa.520404