M. K. Kavitha Devi

Orcid: 0000-0002-5690-1049

According to our database1, M. K. Kavitha Devi authored at least 14 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Enhancing Context-Aware Recommendation Using Trust-Based Contextual Attentive Autoencoder.
Neural Process. Lett., October, 2023

Blockchain Based Consensus Algorithm and Trustworthy Evaluation of Authenticated Subgraph Queries.
Comput. Syst. Sci. Eng., 2023

2022
Enhancing Context-Aware Recommendation Using Hesitant Fuzzy Item Clustering by Stacked Autoencoder Based Smoothing Technique.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022

Student Behavior Modeling for an E-Learning System Offering Personalized Learning Experiences.
Comput. Syst. Sci. Eng., 2022

2021
Enhancing Top-N Recommendation Using Stacked Autoencoder in Context-Aware Recommender System.
Neural Process. Lett., 2021

2020
A Smart Approach for Intrusion Detection and Prevention System in Mobile Ad Hoc Networks Against Security Attacks.
Wirel. Pers. Commun., 2020

Effective image stego intrusion detection system using statistical footprints of the steganogram and fusion of classifiers.
Int. J. Comput. Aided Eng. Technol., 2020

Map-optimize-reduce: CAN tree assisted FP-growth algorithm for clusters based FP mining on Hadoop.
Future Gener. Comput. Syst., 2020

2019
Enhancing the JPEG image steganography security by RSA and attaining high payload using advanced DCT replacement method and modified quantisation table.
Int. J. Bus. Intell. Data Min., 2019

Improving image steganalyser performance through curvelet transform denoising.
Clust. Comput., 2019

2017
Data analytics: feature extraction for application with small sample in classification algorithms.
Int. J. Bus. Inf. Syst., 2017

2013
Smoothing approach to alleviate the meager rating problem in collaborative recommender systems.
Future Gener. Comput. Syst., 2013

2009
IDSS: an intelligent decision support system for e-purchasing using CBR and CF.
Int. J. Agent Oriented Softw. Eng., 2009

An Improved Collaborative Recommender System.
Proceedings of the First International Conference on Networks and Communications, 2009


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