An embarking user friendly palmprint biometric recognition system with topnotch security

S Balakrishnan, K Venkatesan… - 2021 5th International …, 2021 - ieeexplore.ieee.org
The rapid and widespread development of Information Technology results in a tremendous
need for the development of reliable, safe and secure identification of individuals …

Flood prediction using hybrid ANFIS-ACO model: a case study

A Agnihotri, A Sahoo, MK Diwakar - Inventive Computation and Information …, 2022 - Springer
Growing imperviousness and urbanization have increased peak flow magnitude which
results in flood events specifically during extreme conditions. Precise and reliable multi-step …

A review of classification algorithms in machine learning for medical IOT.

R Prabha, S Deivanayagi… - International …, 2021 - search.ebscohost.com
Most of the works developed are now related to health issues because of the increase in
dangerous diseases and importance of every human life. This is also one of those models …

Evaluation of different variable selection approaches with naive Bayes to improve the customer behavior prediction

R Siva Subramanian, D Prabha, J Aswini… - … : Proceedings of ICICIT …, 2022 - Springer
Study of consumer behavior analysis within the enterprises is considered as paramount to
identify how the customers are satisfied with the enterprise's services and also predicate …

Enhancing Customer Prediction Using Machine Learning with Feature Selection Approaches

R Siva Subramanian, B Maheswari… - … : Proceedings of ICICIT …, 2023 - Springer
In each enterprise, customer data is collected in large quantities and the analysis of such
data aids in the development of more accurate insights into customer patterns and the …

Hybrid Variable Selection Approach to Analyse High Dimensional Dataset

RS Subramanian, K Sudha, KV Ramana… - 2023 7th …, 2023 - ieeexplore.ieee.org
In light of the heterogeneous mode of collection and high dimensionality, most real-time
datasets collected may contain irrelevant, correlated, noisy, and missing variables. When …

Performance Analysis of Different Machine Learning in Customer Prediction

SR Siva, SN Bushra, B Maheswari… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Performing effective consumer analysis allows businesses to gain a better understanding of
their customers' relationships with them and how satisfied they are with the products or …

Data Mining Classification and analytical model of prediction for Job Placements using Fuzzy Logic

S Venkatachalam - … 5th International Conference on Trends in …, 2021 - ieeexplore.ieee.org
One of the most common issues that new graduates experience is the insufficient
understanding of basic concepts. Major skill gaps in this area include a lack of deep …

Wrapper-Naive Bayes approach to perform efficient customer behavior prediction

R Sıva Subramanıan, D Prabha, B Maheswari… - … : Proceedings of ICIDCA …, 2022 - Springer
Performing efficacious customer behavior analysis makes the enterprises to understand the
potential and unpotential consumers with firms and further assist to enhance enterprise's …

Alleviating NB conditional independence using multi-stage variable selection (MSVS): banking customer dataset application

RS Subramanian, D Prabha, J Aswini… - Journal of Physics …, 2021 - iopscience.iop.org
Customer research is one of the important aspects of understanding customer behavior
patterns with business enterprises and predicate how consumer satisfaction is achieved …