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Banking and financial industries are facing severe challenges in the form of fraudulent transactions. Credit card fraud is one example of them. In order to detect credit card fraud, we employed one-class classification approach in big data paradigm. We implemented a hybrid architecture of Particle Swarm Optimization and Auto-Associative Neural Network for(More)
In this paper, we propose new computational intelligence sequential hybrid architectures involving Genetic Programming (GP) and Group Method of Data Handling (GMDH) viz. GP-GMDH, GMDH-GP and recurrent architecture for Genetic Programming (GP) for software cost estimation. Three linear ensembles based on (i) arithmetic mean (ii) geometric mean and (iii)(More)
In this paper, we propose a fuzzy version of GDBSCAN called generalized fuzzy density based clustering algorithm (GFDBSCAN) that can be used to cluster people around key socio-economic parameters. GFDBSCAN can also be used to cluster geographical regions based on the requirement and preferences expressed by the customers for services like business outlets,(More)
Due to the continuous miniaturization in the size and increase in the complexity of the SRAM circuit causes the SRAM memory more prone to failure due to variations in process parameters which significantly affect and acutely degrading the output of SRAM. To enhance the consistent performance and firmness of SRAM towards parametric failures, fault detection(More)
Digital watermarking is defined as the imperceptibly altering a work in order to embed information about that work. In the recent years copyright-protection of digital content became a serious problem due to rapid development in technology. Watermarking is one of the alternatives to copyright-protection problem. Digital watermarking can be classified as(More)
In this paper, we propose a hybrid model that combines the Auto Associative Extreme Learning Machine (AAELM) with Multiple Linear Regression (MLR) (AAELM+MLR) for performing big data regression. It works using Hadoop Mapreduce parallel computing model which is implemented in Python using Dumbo API. It works in two phases. In the first phase, three-layered(More)
Media manufacturing process plays a vital role in the hard disk drive (HDD) industry. Sputtering is an important process within the media manufacturing process that provides magnetic properties, which in turn affects the performance of the media in a HDD assembly. In this study, an attempt has been made to predict the critical magnetic characteristics and(More)
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