TDMCS : an efficient method for mining closed frequent patterns over data streams based on time decay model
المؤلفون المشاركون
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 14، العدد 6 (30 نوفمبر/تشرين الثاني 2017)10ص.
الناشر
تاريخ النشر
2017-11-30
دولة النشر
الأردن
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
In some data stream applications, the information embedded in the data arriving in the new recent time period is important than historical transactions.
Because data stream is changing over time, concept drift problem may appear in data stream mining.
Frequent pattern mining methods always generate useless and redundant patterns.
In order to obtain the result set of lossless compression, closed pattern is needed.
A novel method for efficiently mining closed frequent patterns on data stream is proposed in this paper.
The main works includes: distinguished importance of recent transactions from historical transactions based on time decay model and sliding window model; designed the frame minimum support count-maximal support error rate-decay factor (θ-ε-f) to avoid concept drift; used closure operator to improve the efficiency of algorithm; design a novel way to set decay factor: average-decay-factor faverage in order to balance the high recall and high precision of algorithm.
The performance of proposed method is evaluated via experiments, and the results show that the proposed method is efficient and steady-state.
It applies to mine data streams with high density and long patterns.
It is suitable for different size sliding windows, and it is also superior to other analogous algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Han, Meng& Ding, Jian& Li, Juan. 2017. TDMCS : an efficient method for mining closed frequent patterns over data streams based on time decay model. The International Arab Journal of Information Technology،Vol. 14, no. 6.
https://search.emarefa.net/detail/BIM-853078
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Han, Meng…[et al.]. TDMCS : an efficient method for mining closed frequent patterns over data streams based on time decay model. The International Arab Journal of Information Technology Vol. 14, no. 6 (Nov. 2017).
https://search.emarefa.net/detail/BIM-853078
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Han, Meng& Ding, Jian& Li, Juan. TDMCS : an efficient method for mining closed frequent patterns over data streams based on time decay model. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 6.
https://search.emarefa.net/detail/BIM-853078
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-853078
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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