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Title: :  ENHANCED CONCEPT DRIFT IN PROCESS MINING
PaperId: :  2792
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 4 2016
DUI:    16.0415/IJARIIE-2792
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
DUMASIA NAMRATA AMRUTLALPARUL INSTITUTE OF TECHNOLOGY, VADODARA,GUJARAT.
PROF. ANKUR SHAHPARUL INSTITUTE OF TECHNOLOGY, VADODARA,GUJARAT.

Abstract

Computer Engineering
Concept Drift; Process Mining; Event Logs; Process Change.
Economic success of an organization is dependent on how they react & adapt changes in its operating environment. Research aims to enhance the existing Drift Detection with Change process discovery in complex datasets. Configurable process model describes a family of similar process models. Process variants discovered using concept drift can be merged to derive a configurable process model. Online learning algorithms often have to operate in the presence of concept drifts. Recent study revealed that different diversity levels in an ensemble of learning machines are required to maintain high generalization on both old & new concepts. Based on this study of diversity with different strategies to deal with drifts, we propose new online ensemble learning approach called Diversity for Dealing with Drifts (DDD). DDD maintains ensembles with different diversity levels and is able to achieve better accuracy than other approaches. It is very robust & outperforming in terms of accuracy when there are false positive drift detections.

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IJARIIE DUMASIA NAMRATA AMRUTLAL, and PROF. ANKUR SHAH. "ENHANCED CONCEPT DRIFT IN PROCESS MINING" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 4 2016 Page 392-397
MLA DUMASIA NAMRATA AMRUTLAL, and PROF. ANKUR SHAH. "ENHANCED CONCEPT DRIFT IN PROCESS MINING." International Journal Of Advance Research And Innovative Ideas In Education 2.4(2016) : 392-397.
APA DUMASIA NAMRATA AMRUTLAL, & PROF. ANKUR SHAH. (2016). ENHANCED CONCEPT DRIFT IN PROCESS MINING. International Journal Of Advance Research And Innovative Ideas In Education, 2(4), 392-397.
Chicago DUMASIA NAMRATA AMRUTLAL, and PROF. ANKUR SHAH. "ENHANCED CONCEPT DRIFT IN PROCESS MINING." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 4 (2016) : 392-397.
Oxford DUMASIA NAMRATA AMRUTLAL, and PROF. ANKUR SHAH. 'ENHANCED CONCEPT DRIFT IN PROCESS MINING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 4, 2016, p. 392-397. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/ENHANCED_CONCEPT_DRIFT_IN_PROCESS_MINING_ijariie2792.pdf (Accessed : 05 October 2017).
Harvard DUMASIA NAMRATA AMRUTLAL, and PROF. ANKUR SHAH. (2016) 'ENHANCED CONCEPT DRIFT IN PROCESS MINING', International Journal Of Advance Research And Innovative Ideas In Education, 2(4), pp. 392-397IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/ENHANCED_CONCEPT_DRIFT_IN_PROCESS_MINING_ijariie2792.pdf (Accessed : 05 October 2017)
IEEE DUMASIA NAMRATA AMRUTLAL, and PROF. ANKUR SHAH, "ENHANCED CONCEPT DRIFT IN PROCESS MINING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 4, pp. 392-397, Jul-Aug 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/ENHANCED_CONCEPT_DRIFT_IN_PROCESS_MINING_ijariie2792.pdf [Accessed : 05 October 2017].
Turabian DUMASIA NAMRATA AMRUTLAL, and PROF. ANKUR SHAH. "ENHANCED CONCEPT DRIFT IN PROCESS MINING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 4 (05 October 2017).
Vancouver DUMASIA NAMRATA AMRUTLAL, and PROF. ANKUR SHAH. ENHANCED CONCEPT DRIFT IN PROCESS MINING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 05 October 2017]; 2(4) : 392-397. Available from: https://ijariie.com/AdminUploadPdf/ENHANCED_CONCEPT_DRIFT_IN_PROCESS_MINING_ijariie2792.pdf
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