Mining Frequent Item Sets in Asynchronous Transactional Data Streams over Time Sensitive Sliding Windows Model

Mining Frequent Item Sets in Asynchronous Transactional Data Streams over Time Sensitive Sliding Windows Model

EPs (Extracting Frequent Patterns) from the continuous transactional data streams is a challenging and critical task in some of the applications, such as web mining, data analysis and retail market, prediction and network monitoring, or analysis of stock market exchange data. Many algorithms have...

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Bibliographic Details
Main Authors: QAISAR JAVAID, FARIDA MEMON, SHAHNAWAZ TALPUR, MUHAMMAD ARIF, MUHAMMAD DAUD AWAN
Format: Article
Language:English
Published: Mehran University of Engineering and Technology 2016-10-01
Series:Mehran University Research Journal of Engineering and Technology
Subjects:
Data Mining
Data Stream
Frequent Pattern
Transactional Data
Sliding Windows.
Online Access:http://publications.muet.edu.pk/research_papers/pdf/pdf1427.pdf

Internet

http://publications.muet.edu.pk/research_papers/pdf/pdf1427.pdf

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