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PHUIMUS: A Potential High Utility Itemsets Mining Algorithm Based on Stream Data with Uncertainty
المؤلفون المشاركون
Liu, Fuxian
Wang, Ju
Jin, Chunjie
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-03-16
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
High utility itemsets (HUIs) mining has been a hot topic recently, which can be used to mine the profitable itemsets by considering both the quantity and profit factors.
Up to now, researches on HUIs mining over uncertain datasets and data stream had been studied respectively.
However, to the best of our knowledge, the issue of HUIs mining over uncertain data stream is seldom studied.
In this paper, PHUIMUS (potential high utility itemsets mining over uncertain data stream) algorithm is proposed to mine potential high utility itemsets (PHUIs) that represent the itemsets with high utilities and high existential probabilities over uncertain data stream based on sliding windows.
To realize the algorithm, potential utility list over uncertain data stream (PUS-list) is designed to mine PHUIs without rescanning the analyzed uncertain data stream.
And transaction weighted probability and utility tree (TWPUS-tree) over uncertain data stream is also designed to decrease the number of candidate itemsets generated by the PHUIMUS algorithm.
Substantial experiments are conducted in terms of run-time, number of discovered PHUIs, memory consumption, and scalability on real-life and synthetic databases.
The results show that our proposed algorithm is reasonable and acceptable for mining meaningful PHUIs from uncertain data streams.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Ju& Liu, Fuxian& Jin, Chunjie. 2017. PHUIMUS: A Potential High Utility Itemsets Mining Algorithm Based on Stream Data with Uncertainty. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192421
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Ju…[et al.]. PHUIMUS: A Potential High Utility Itemsets Mining Algorithm Based on Stream Data with Uncertainty. Mathematical Problems in Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1192421
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Ju& Liu, Fuxian& Jin, Chunjie. PHUIMUS: A Potential High Utility Itemsets Mining Algorithm Based on Stream Data with Uncertainty. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192421
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1192421
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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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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