کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384430 660846 2012 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Positive and negative association rule mining on XML data streams in database as a service concept
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Positive and negative association rule mining on XML data streams in database as a service concept
چکیده انگلیسی

In recent years, data mining has become one of the most popular techniques for data owners to determine their strategies. Association rule mining is a data mining approach that is used widely in traditional databases and usually to find the positive association rules. However, there are some other challenging rule mining topics like data stream mining and negative association rule mining. Besides, organizations want to concentrate on their own business and outsource the rest of their work. This approach is named “database as a service concept” and provides lots of benefits to data owner, but, at the same time, brings out some security problems. In this paper, a rule mining system has been proposed that provides efficient and secure solution to positive and negative association rule computation on XML data streams in database as a service concept. The system is implemented and several experiments have been done with different synthetic data sets to show the performance and efficiency of the proposed system.


► Incorporation of negative rule mining to data stream association rule mining.
► Integration of association rule mining, data stream, XML, database outsourcing under a single system.
► Performance tests show the feasibility of the proposed system.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 39, Issue 8, 15 June 2012, Pages 7503–7511
نویسندگان
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