A Dynamic Sliding Window based Balanced Parallel Frequent Itemset Mining Algorithm in Data Stream
نویسندگان
چکیده
منابع مشابه
An Efficient Sliding Window Based Algorithm for Adaptive Frequent Itemset Mining over Data Streams
Mining frequent itemsets over high speed, continuous and infinite data streams is a challenging problem due to changing nature of data and limited memory and processing capacities of computing systems. Sliding window is an interesting model to solve this problem since it does not need the entire history of received transactions and can handle concept change by considering only a limited range o...
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During the past decade, stream data mining has been attracting widespread attentions of the experts and the researchers all over the world and a large number of interesting research results have been achieved. Among them, frequent itemset mining is one of main research branches of stream data mining with a fundamental and significant position. In order to further advance and develop the researc...
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In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent itemset mining process is represented as a data flow controlled by a series producer and consumer components (filters), and the data flow (communication) between such filters is made via streams. When production rate matches consup...
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Association Rules in data mining are generated by identifying relationships among set of items in transaction database. Finding frequent itemsets is computationally the most expensive step in Association rule discovery and therefore it has attracted significant research attention. Although several techniques have emerged, they are all inherently dependent on the memory availability. This paper ...
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In recent years, advances in both hardware and software technologies coupled with high-speed data generation has led to data streams and data stream mining. Data generation has been much faster in data stream applications and scores of data is generated in quick turnaround time. Hence it becomes obvious to perform mining, data on arrival that is usually termed as data stream mining. General fre...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2020
ISSN: 0975-8887
DOI: 10.5120/ijca2020920670