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M. A. H. Farquad

Mohammad Abdul Haque Farquad

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Journal Articles

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2020
[j6]
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  - journals/ijbidm/PranithaFN20
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  - https://dblp.org/rec/journals/ijbidm/PranithaFN20
P. Pranitha, M. A. H. Farquad, G. Narshimha:
Optimal page ranking system for web page personalisation using kernel-based fuzzy C-means and gravitational search algorithm. Int. J. Bus. Intell. Data Min. 16(1): 1-19 (2020)
2019
[j5]
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  - journals/iet-sen/SudhakarFN19
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Katherapaka Sudhakar, M. A. H. Farquad, G. Narshimha:
Effective convolution method for privacy preserving in cloud over big data using map reduce framework. IET Softw. 13(3): 187-194 (2019)
2014
[j4]
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  - journals/asc/FarquadRR14
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M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Churn prediction using comprehensible support vector machine: An analytical CRM application. Appl. Soft Comput. 19: 31-40 (2014)
2012
[j3]
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  - journals/dss/FarquadB12
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M. A. H. Farquad, Indranil Bose:
Preprocessing unbalanced data using support vector machine. Decis. Support Syst. 53(1): 226-233 (2012)
2011
[j2]
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Mohammad Abdul Haque Farquad, Vadlamani Ravi, S. Bapi Raju:
Rule extraction from support vector machines: a hybrid approach for solving classification and regression problems. Int. J. Inf. Decis. Sci. 3(3): 265-294 (2011)
2010
[j1]
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  - journals/eswa/FarquadRR10
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M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Support vector regression based hybrid rule extraction methods for forecasting. Expert Syst. Appl. 37(8): 5577-5589 (2010)

Conference and Workshop Papers

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2015
[c4]
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  - conf/cit/KhalidAF15
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M. A. R. Khalid, Majid Alwaqdani, M. A. H. Farquad:
Comparative Analysis of Support Vector Machine: Employing Various Optimization Algorithms. ICIT 2015: 171-174
2012
[c3]
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  - conf/icdim/AlmasFAS12
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Amera Almas, M. A. H. Farquad, N. S. Ranganath Avala, Jabeen Sultana:
Enhancing the performance of decision tree: A research study of dealing with unbalanced data. ICDIM 2012: 7-10
2010
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  - conf/kes/FarquadRR10
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M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Rule Extraction from Support Vector Machine Using Modified Active Learning Based Approach: An Application to CRM. KES (1) 2010: 461-470
2009
[c1]
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  - conf/rsfdgrc/FarquadRR09
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M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards. RSFDGrC 2009: 390-397

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