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Mining closed and multi-supports-based sequential pattern in high-dimensional dataset
المؤلفون المشاركون
Han, Meng
Wang, Zhihai
Yuan, Jidong
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 12، العدد 4 (31 يوليو/تموز 2015)11ص.
الناشر
تاريخ النشر
2015-07-31
دولة النشر
الأردن
عدد الصفحات
11
التخصصات الرئيسية
الموضوعات
الملخص EN
Previous mining algorithms on high dimensional datasets, such as biological dataset, create very large patterns sets as a result which includes small and discontinuous sequential patterns.
These patterns do not bear any useful information for usage.
Mining sequential patterns in such sequences need to consider different forms of patterns, such as contiguous patterns, local patterns which appear more than one time in a special sequence and so on.
Mining closed pattern leads to a more compact result set but also a better efficiency.
In this paper, a novel algorithm based on BI - directional extension and multisupports is provided specifically for mining contiguous closed patterns in high dimensional dataset.
Three kinds of contiguous closed sequential patterns are mined which are sequential patterns, local sequential patterns and total sequential patterns.
Thorough performances on biological sequences have demonstrated that the proposed algorithm reduces memory consumption and generates compact patterns.
A detailed analysis of the multi-supports-based results is provided in this paper.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Han, Meng& Wang, Zhihai& Yuan, Jidong. 2015. Mining closed and multi-supports-based sequential pattern in high-dimensional dataset. The International Arab Journal of Information Technology،Vol. 12, no. 4.
https://search.emarefa.net/detail/BIM-431238
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Han, Meng…[et al.]. Mining closed and multi-supports-based sequential pattern in high-dimensional dataset. The International Arab Journal of Information Technology Vol. 12, no. 4 (Jul. 2015).
https://search.emarefa.net/detail/BIM-431238
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Han, Meng& Wang, Zhihai& Yuan, Jidong. Mining closed and multi-supports-based sequential pattern in high-dimensional dataset. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 4.
https://search.emarefa.net/detail/BIM-431238
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-431238
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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