M. A. H. Farquad

According to our database, M. A. H. Farquad authored at least 10 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Optimal page ranking system for web page personalisation using kernel-based fuzzy C-means and gravitational search algorithm.

P. Pranitha, M. A. H. Farquad, G. Narshimha

Int. J. Bus. Intell. Data Min., 2020

2019

Effective convolution method for privacy preserving in cloud over big data using map reduce framework.

Katherapaka Sudhakar, M. A. H. Farquad, G. Narshimha

IET Softw., 2019

2015

Comparative Analysis of Support Vector Machine: Employing Various Optimization Algorithms.

M. A. R. Khalid, Majid Alwaqdani, M. A. H. Farquad

Proceedings of the 2015 International Conference on Information Technology, 2015

2014

Churn prediction using comprehensible support vector machine: An analytical CRM application.

M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju

Appl. Soft Comput., 2014

2012

Preprocessing unbalanced data using support vector machine.

M. A. H. Farquad, Indranil Bose

Decis. Support Syst., 2012

Enhancing the performance of decision tree: A research study of dealing with unbalanced data.

Amera Almas, M. A. H. Farquad, N. S. Ranganath Avala, Jabeen Sultana

Proceedings of the Seventh International Conference on Digital Information Management, 2012

2011

Rule extraction from support vector machines: a hybrid approach for solving classification and regression problems.

Mohammad Abdul Haque Farquad, Vadlamani Ravi, S. Bapi Raju

Int. J. Inf. Decis. Sci., 2011

2010

Support vector regression based hybrid rule extraction methods for forecasting.

M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju

Expert Syst. Appl., 2010

Rule Extraction from Support Vector Machine Using Modified Active Learning Based Approach: An Application to CRM.

M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

2009

Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards.

M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju

Proceedings of the Rough Sets, 2009