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Multi-objective Genetic Algorithm for Association Rule Mining Using a Homogeneous Dedicated Cluster of Workstations
This study presents a fast and scalable multi-objective association rule mining technique using genetic algorithm from large database. The objective functions such as confidence factor,Expand
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Enhancing scalability and accuracy of recommendation systems using unsupervised learning and particle swarm optimization
Recommendation system has been a rhetoric area and a topic of rigorous research owing to its application in various domains, from academics to industries through e-commerce. Recommendation system isExpand
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Power Aware Ad Hoc On-demand Distance Vector (PAAODV) Routing for MANETS
Efficient implementation of Mobile Ad Hoc Networks (MANETs) needs a set of application specific Quality of Service (QoS) parameters such as bandwidth, delay and power etc. be guaranteed on a regularExpand
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Epileptic seizure identification from electroencephalography signal using DE-RBFNs ensemble
Abstract In this paper, an ensemble of radial basis function neural networks (RBFNs) optimized by differential evolution (DE) (DE- RBFNs) is presented for identification of epileptic seizure byExpand
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An Empirical Analysis of Different Machine Learning Techniques for Classification of EEG Signal to Detect Epileptic Seizure
Electroencephalogram (EEG) signal is a modest measure of electric flow in a human brain. It is responsible for information flow through the neurons in the brain which controls and monitors the fullExpand
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Optimized Radial Basis Functional neural network for stock index prediction
Prediction of stock market indices is an interesting and challenging research problem in financial data mining area because movement of stock indices are nonlinear and they are dependent uponExpand
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A Study on the Relevance of Feature Selection Methods in Microarray Data
This paper studies the relevance of feature selection algorithms in microarray data for effective analysis. With no loss of generality, we present a list of feature selection algorithms and propose aExpand
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Honey Bee Behavior: A Multi-agent Approach for Multiple Campaigns Assignment Problem
This paper address a multi-agent approach using the behavior of honey bee to find out an optimal customer-campaign relationship under certain restrictions for the problem of multiple campaignsExpand
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Long Term Electrical Load Forecasting: An Empirical Study across Techniques and Domains
Objective: The rapid development of human population, buildings, industries and technology has caused electric consumption to grow rapidly. So it is crucial to have accurate load forecasts forExpand
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Measure of Impact of Node Misbehavior in Ad Hoc Routing: A Comparative Approach
The major challenge to design and deployment of mobile ad hoc networks (MANETs) is its dynamic nature, which carries with itself a set of security measures to be resolved. In this paper, we compareExpand
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