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Constraint-based sequential pattern mining : a pattern growth algorithm incorporating compactness, length and monetary
المؤلفون المشاركون
Mallick, Bhawna
Garg, Deepak
Grover, Preetam Singh
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 11، العدد 1 (31 يناير/كانون الثاني 2014)11ص.
الناشر
تاريخ النشر
2014-01-31
دولة النشر
الأردن
عدد الصفحات
11
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
Sequential pattern mining is advantageous for several applications for example, it finds out the sequential purchasing behavior of majority customers from a large number of customer transactions.
However, the existing researches in the field of discovering sequential patterns are based on the concept of frequency and presume that the customer purchasing behavior sequences do not fluctuate with change in time, purchasing cost and other parameters.
To acclimate the sequential patterns to these changes, constraint are integrated with the traditional sequential pattern mining approach.
It is possible to discover more user-centered patterns by integrating certain constraints with the sequential mining process.
Thus in this paper, monetary and compactness constraints in addition to frequency and length are included in the sequential mining process for discovering pertinent sequential patterns from sequential databases.
Also, a CFML-Prefix Span algorithm is proposed by integrating these constraints with the original Prefix Span algorithm, which allows discovering all CFML sequential patterns from the sequential database.
The proposed CFML-Prefix Span algorithm has been validated on synthetic sequential databases.
The experimental results ensure that the efficacy of the sequential pattern mining process is further enhanced in view of the fact that the purchasing cost, time duration and length are integrated with the sequential pattern mining process.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mallick, Bhawna& Garg, Deepak& Grover, Preetam Singh. 2014. Constraint-based sequential pattern mining : a pattern growth algorithm incorporating compactness, length and monetary. The International Arab Journal of Information Technology،Vol. 11, no. 1.
https://search.emarefa.net/detail/BIM-334156
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mallick, Bhawna…[et al.]. Constraint-based sequential pattern mining : a pattern growth algorithm incorporating compactness, length and monetary. The International Arab Journal of Information Technology Vol. 11, no. 1 (Jan. 2014).
https://search.emarefa.net/detail/BIM-334156
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mallick, Bhawna& Garg, Deepak& Grover, Preetam Singh. Constraint-based sequential pattern mining : a pattern growth algorithm incorporating compactness, length and monetary. The International Arab Journal of Information Technology. 2014. Vol. 11, no. 1.
https://search.emarefa.net/detail/BIM-334156
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-334156
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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