A genetic-algorithm based neural network short-term forecasting framework for database intrusion prediction system
An evolutionary time-series model for short-term database intrusion forecasting using genetic algorithm owing to its global search capability is proposed and results show that the combination strategy(neuro-genetic) can quicken the learning speed of the network and improve the predicting precision compared to the traditional artificial neural network.
Quickprop Neural Network Short-Term Forecasting Framework for a Database Intrusion Prediction System
A comparative evaluation of the Quickprop neural network over the traditional neural network models was carried out using mean absolute percentage error on a prediction data set and a better prediction accuracy has been observed.
AI Crop Predictor and Weed Detector Using Wireless Technologies: A Smart Application for Farmers
- I. Dasgupta, Jayita Saha, Pattabiraman Venkatasubbu, P. Ramasubramanian
- Computer Science
- 16 October 2020
The comprehensive application developed for farmers not only reduces the physical hardship and time spent on different agricultural activities, but also increases the overall land yield, reduces possibility of losses due to failure of crops in a particular soil and lessens the chances of damage caused to crops by weeds.
Mining Analysis of SIS Database Using Rough Set Theory
- P. Ramasubramanian, V. Suresnkumar, P. Iyakutti, P. Thangavelu
- EducationInternational Conference on Computational…
- 13 December 2007
The present paper attempts to analyse SIS database using rough set theory to predict the future of students using data mining techniques and two main cases of missing attribute values are considered.
Event detection from Twitter - a survey
This study aims to present and review the varied methods carried out for event detection from microblogs, a popular Web service that enables users to post small pieces of digital content, such as text, picture, video and link to external resource.
Quickprop Neural Network Ensemble Forecasting Framework for a Database Intrusion Prediction System
This paper describes a framework for a statistical anomaly prediction system using ensemble Quickprop neural network forecasting model, which predicts unauthorized invasions of user based on previous…
Intelligent Multi-Agent Based Multivariate Statistical Framework for Database Intrusion Prevention System
A framework for a statistical anomaly prediction system using a multivariate statistical forecasting model, which predicts unauthorized invasions of user based on previous observations and takes further action before intrusion occurs and a better prediction accuracy has been observed.
The Discriminant Analysis Approach for Evaluating Effectiveness of Learning in an Instructor-Led Virtual Classroom
- D. Magdalene Delighta Angeline, P. Ramasubramanian, I. Samuel Peter James
- EducationInternational Journal on Smart Sensing and…
- 1 January 2020
Abstract The effective learning requires putting down various associations of new ideas to old ones to integrate some innovative thoughts. The learners must change the associations among the things…
Enhanced data mining analysis in higher educational system using rough set theory
This paper attempts to analyze SIS database using rough set theory to predict the future of students using data mining techniques.
Data mining techniques for teaching result analysis using rough set theory
- P. Ramasubramanian, K. Iyakutti, P. Thangavelu, G.J. Jeya, S. Begam
- EducationInternational Conference on Computing…
- 1 December 2008
A concept map for each student and staff and finds the result of the subjects and also recommending for sequence of remedial teaching is proposed.