An Overview of Algorithms Used for Mining Frequent Patterns in Data Streams
نویسنده
چکیده
Data streams are an ordered sequence of items that arrives in timely order. It is impossible to store the data in which item arrives. To apply data mining algorithm directly to streams instead of storing them before in a database. Real time surveillances system, telecommunication system, sensor network, financial applications, transactional data are some of the examples of the data stream systems. These types of streams produced millions or billions of updates every hour. In this paper, we have studied the concept of data streams and how the frequent patterns are mined from data streams. We analyzed the existing algorithms used for mining frequent patterns in data streams. Keywords—Data Streams, Frequent Patterns, Data Mining
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تاریخ انتشار 2016