SPOSR: A System for Mining Partially-Ordered Sequential Rules

Mr. SANDIPKUMAR C. SAGARE; Prof.Dr. S.K.Shirgave

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Submission Last date	28-Jun-2025
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Title: :  SPOSR: A System for Mining Partially-Ordered Sequential Rules
PaperId: :  6389
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 4 2017
DUI:    16.0415/IJARIIE-6389
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Name	Author Institute
Mr. SANDIPKUMAR C. SAGARE	D.K.T.E.SOCIETY'S TEXTILE AND ENGINEERING INSTITUTE, ICHALKARANJI.
Prof.Dr. S.K.Shirgave	D.K.T.E.SOCIETY'S TEXTILE AND ENGINEERING INSTITUTE, ICHALKARANJI.

Abstract

Research Area	Computer Science and Engineering
KeyWord	Sequential rules, window size
Abstract	Abstract ─ Sequential rule mining is used to extract important data in various application such as stock market analysis, e-commerce. It generally includes identifying sequential rules from given sequence database which will be common in multiple sequences. Partially Ordered Sequential rules (POSR) is a type of sequential rules in which the items in left and right side of the sequential rule does not need to be ordered. The existing approaches used for mining POSR include RuleGrowth Algorithm, TRuleGrowth Algorithm.But, these approaches either not use sliding window size constraint (RuleGrowth) or take more execution time even after using the sliding window size constraint (TRuleGrowth).This paper presents SPOSR, a system for mining partially –ordered sequential rules based on these techniques called RuleGrowth and TRuleGrowth These techniques take the sequence database as input and applies minimum support, minimum confidence, and window size constraints respectively to generate partially-ordered sequential rules. The experimental evaluation in terms of number of rules generated and execution time is conducted to compare these techniques. It is found that the TRuleGrowth performs better in terms of sequential rule count and the execution time.

Citations

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IJARIIE	Mr. SANDIPKUMAR C. SAGARE, and Prof.Dr. S.K.Shirgave. "SPOSR: A System for Mining Partially-Ordered Sequential Rules" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 4 2017 Page 2760-2766
MLA	Mr. SANDIPKUMAR C. SAGARE, and Prof.Dr. S.K.Shirgave. "SPOSR: A System for Mining Partially-Ordered Sequential Rules." International Journal Of Advance Research And Innovative Ideas In Education 3.4(2017) : 2760-2766.
APA	Mr. SANDIPKUMAR C. SAGARE, & Prof.Dr. S.K.Shirgave. (2017). SPOSR: A System for Mining Partially-Ordered Sequential Rules. International Journal Of Advance Research And Innovative Ideas In Education, 3(4), 2760-2766.
Chicago	Mr. SANDIPKUMAR C. SAGARE, and Prof.Dr. S.K.Shirgave. "SPOSR: A System for Mining Partially-Ordered Sequential Rules." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 4 (2017) : 2760-2766.
Oxford	Mr. SANDIPKUMAR C. SAGARE, and Prof.Dr. S.K.Shirgave. 'SPOSR: A System for Mining Partially-Ordered Sequential Rules', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 4, 2017, p. 2760-2766. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/SPOSR__A_System_for_Mining_Partially_Ordered_Sequential_Rules_ijariie6389.pdf (Accessed : ).
Harvard	Mr. SANDIPKUMAR C. SAGARE, and Prof.Dr. S.K.Shirgave. (2017) 'SPOSR: A System for Mining Partially-Ordered Sequential Rules', International Journal Of Advance Research And Innovative Ideas In Education, 3(4), pp. 2760-2766IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/SPOSR__A_System_for_Mining_Partially_Ordered_Sequential_Rules_ijariie6389.pdf (Accessed : )
IEEE	Mr. SANDIPKUMAR C. SAGARE, and Prof.Dr. S.K.Shirgave, "SPOSR: A System for Mining Partially-Ordered Sequential Rules," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 4, pp. 2760-2766, Jul-Aug 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/SPOSR__A_System_for_Mining_Partially_Ordered_Sequential_Rules_ijariie6389.pdf [Accessed : ].
Turabian	Mr. SANDIPKUMAR C. SAGARE, and Prof.Dr. S.K.Shirgave. "SPOSR: A System for Mining Partially-Ordered Sequential Rules." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 4 ().
Vancouver	Mr. SANDIPKUMAR C. SAGARE, and Prof.Dr. S.K.Shirgave. SPOSR: A System for Mining Partially-Ordered Sequential Rules. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(4) : 2760-2766. Available from: https://ijariie.com/AdminUploadPdf/SPOSR__A_System_for_Mining_Partially_Ordered_Sequential_Rules_ijariie6389.pdf

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