Parag C. Pendharkar - Concepedia

Author

Parag C. Pendharkar

Also Known As

P C Pendharkar, P PENDHARKAR, P Pendharkar, P. C. Pendharkar, P. Pendharkar, P.C. Pendharkar, PARAG C. PENDHARKAR, Parag C Pendharkar, Parag C. Pendharkar, Parag C. Pendharkar*

144

Publications

2.8K

Citations

H-Index

177

Concepts

All Affiliations

Pennsylvania State University Indiana University of Pennsylvania Decision Sciences (United States)Pennsylvania Department of Agriculture

About

Parag C. Pendharkar is an author at Pennsylvania State University specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	26	48	2K
2	Business	15	18	926
3	Education	2	2	83
4	Arts	1	1	16
5	Health Sciences	1	1	60

Parag C. Pendharkar

Publications

2.6K

Citations

H-Index

Page 1

	Year	Citations
A probabilistic model for predicting software development effort Parag C. Pendharkar, Girish H. Subramanian, James A. Rodger IEEE Transactions on Software Engineering Software MaintenanceBayesian StatisticBayesian Decision TheoryEngineeringProject Management	2005	197
A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem Parag C. Pendharkar Computers & Operations Research Intelligent ForecastingData ClassificationClassification MethodMachine LearningData Science	2004	151
Human–computer interaction issues for mobile computing in a variable work context Judy York, Parag C. Pendharkar International Journal of Human-Computer Studies Human–computer Interaction IssuesEngineeringMobile InteractionVariable Work ContextHuman-machine Interaction	2004	120
Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services Parag C. Pendharkar Expert Systems with Applications Evolutionary Data MiningNeural Network ApproachesEngineeringIntelligent NetworkData Science	2008	118
Trading financial indices with reinforcement learning agents Parag C. Pendharkar, Patrick J. Cusatis Expert Systems with Applications Asset PricingTrading Financial IndicesAlgorithmic TradingBusinessTrading Model	2018	115
Association, statistical, mathematical and neural approaches for mining breast cancer patterns Parag C. Pendharkar Expert Systems with Applications Breast Cancer PatternsEngineeringMachine LearningData ScienceData Mining	1999	111
Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption Parag C. Pendharkar, James A. Rodger Decision Support Systems Forecasting MethodologyProbabilistic ForecastingMonotonicity AssumptionMachine LearningData Science	2003	90
Inductive, Evolutionary, and Neural Computing Techniques for Discrimination: A Comparative Study* Siddhartha Bhattacharyya, Parag C. Pendharkar Decision Sciences EngineeringMachine LearningNeural RecodingDiscriminationNeural Computing Techniques	1998	79
An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification Parag C. Pendharkar, James A. Rodger Computers & Operations Research Artificial IntelligenceMemetic AlgorithmEvolving Neural NetworkEngineeringGenetic Algorithms	2003	72
A BPR case study at Honeywell David Paper, James A. Rodger, Parag C. Pendharkar Business Process Management Journal EngineeringEnergy EfficiencyProject ManagementEducationRadical Change	2001	64

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