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Journal of Intelligent Systems and Internet of Things
Volume 0 , Issue 2, PP: 37-53 , 2019 | Cite this article as | XML |PDF

Title

MSJEP Classifier: “Modified Strong Jumping Emerging Patterns” for Fast Efficient Mining and for handling attributes whose values are associated with taxonomies

  Mohammed K. Hassan 1 * ,   Ahmed K. Hassan 2 ,   Ali I. Eldesouky 3

1  Mechatronics Department, Faculty of Engineering, Horus University in Egypt (HUE), New Damietta, 34517, Egypt
    (mkhassan@horus.edu.eg)

2  Department of Computers and Systems, Faculty of Engineering, Mansoura University, Mansoura, Egypt
    (ahmed.hassan2017@gmail.com)

3  Department of Computers and Systems, Faculty of Engineering, Mansoura University, Mansoura, Egypt
    (ali_eldesouky@yahoo.com)


Doi   :   https://doi.org/10.54216/JISIoT.000201


Abstract :

Modified Strong Jumping Emerging Patterns (MSJEPs) are those itemsets whose support increases from zero in one data set to non-zero in the other dataset with support constraints greater than the minimum support threshold (ζ). The support constraint of MSJEP removes potentially less useful JEPs while retaining those with high discriminating power. Contrast Pattern (CP)-tree-based discovery algorithm used for SJEP mining is a main-memory-based method. When the data set is large, it is unrealistic to assume that the CP-tree can fit in the main memory. The main idea to handle this problem is to first partition the data set into a set of projected data sets and then for each projected data set, we construct and mine its corresponding CP-tree. Trees of the projected data sets are called Separated Contrast Pattern Tree “SCP-trees”  and Patterns generated from it are Called MSJEPs” Modified Strong Jumping Emerging Patterns”.  Our proposal also investigates the weakness of emerging patterns in handling attributes whose values are associated with taxonomies and proposes using an MSJEP classifier to achieve better accuracy, better speed, and also handling attributes in taxonomy.

Keywords :

Data mining , emerging patterns , classification , machine learning , mining methods , and algorithms

References :

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[8] J. Li, T. Manoukian, G. Dong, and K. Ramamohanarao: “Incremental Maintenance on the Border of the Space of Emerging Patterns”. Data Mining and Knowledge Discovery, vol. 9, no. 1, pp. 89-116, 2004.

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[12] J. Li, G. Dong, and K. Ramamohanarao: “Making Use of the Most Expressive Jumping Emerging Patterns for Classification”. Knowledge Information Systems, vol. 3, no. 2, pp. 131-145, 2001.

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[14] C.L. Blake and C.J. Merz, “UCI Repository of Machine Learning Databases,” 1998, http://www.ics.uci.edu/~mlearn/MLRepository.html.

[15] WEKA, data mining tool for researches at the University of Waikato, New Zealand http://www.cs.waikato.ac.nz/ml/weka/ build 3.6.1 2009.

 


Cite this Article as :
Style #
MLA Mohammed K. Hassan , Ahmed K. Hassan, Ali I. Eldesouky. "MSJEP Classifier: “Modified Strong Jumping Emerging Patterns” for Fast Efficient Mining and for handling attributes whose values are associated with taxonomies." Journal of Intelligent Systems and Internet of Things, Vol. 0, No. 2, 2019 ,PP. 37-53 (Doi   :  https://doi.org/10.54216/JISIoT.000201)
APA Mohammed K. Hassan , Ahmed K. Hassan, Ali I. Eldesouky. (2019). MSJEP Classifier: “Modified Strong Jumping Emerging Patterns” for Fast Efficient Mining and for handling attributes whose values are associated with taxonomies. Journal of Journal of Intelligent Systems and Internet of Things, 0 ( 2 ), 37-53 (Doi   :  https://doi.org/10.54216/JISIoT.000201)
Chicago Mohammed K. Hassan , Ahmed K. Hassan, Ali I. Eldesouky. "MSJEP Classifier: “Modified Strong Jumping Emerging Patterns” for Fast Efficient Mining and for handling attributes whose values are associated with taxonomies." Journal of Journal of Intelligent Systems and Internet of Things, 0 no. 2 (2019): 37-53 (Doi   :  https://doi.org/10.54216/JISIoT.000201)
Harvard Mohammed K. Hassan , Ahmed K. Hassan, Ali I. Eldesouky. (2019). MSJEP Classifier: “Modified Strong Jumping Emerging Patterns” for Fast Efficient Mining and for handling attributes whose values are associated with taxonomies. Journal of Journal of Intelligent Systems and Internet of Things, 0 ( 2 ), 37-53 (Doi   :  https://doi.org/10.54216/JISIoT.000201)
Vancouver Mohammed K. Hassan , Ahmed K. Hassan, Ali I. Eldesouky. MSJEP Classifier: “Modified Strong Jumping Emerging Patterns” for Fast Efficient Mining and for handling attributes whose values are associated with taxonomies. Journal of Journal of Intelligent Systems and Internet of Things, (2019); 0 ( 2 ): 37-53 (Doi   :  https://doi.org/10.54216/JISIoT.000201)
IEEE Mohammed K. Hassan, Ahmed K. Hassan, Ali I. Eldesouky, MSJEP Classifier: “Modified Strong Jumping Emerging Patterns” for Fast Efficient Mining and for handling attributes whose values are associated with taxonomies, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 0 , No. 2 , (2019) : 37-53 (Doi   :  https://doi.org/10.54216/JISIoT.000201)