Kartick Chandra Mondal

Orcid: 0000-0003-3647-5799

According to our database1, Kartick Chandra Mondal authored at least 27 papers between 2010 and 2023.

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

Timeline

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Bibliography

2023
Frequent itemset mining using FP-tree: a CLA-based approach and its extended application in biodiversity data.
Innov. Syst. Softw. Eng., September, 2023

Regression Analysis for Finding Correlation on Indian Agricultural Data.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2023

An Introduction to KDB: Knowledge Discovery in Biodiversity.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2023

2022
Knowledge Discovery of Sundarban Mangrove Species: A Way Forward for Managing Species Biodiversity.
SN Comput. Sci., 2022

Recognition of co-existence pattern of salt marshes and mangroves for littoral forest restoration.
Ecol. Informatics, 2022

Green Computing for Big Data and Machine Learning.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021
A Double Threshold-Based Power-Aware Honey Bee Cloud Load Balancing Algorithm.
SN Comput. Sci., 2021

Predicting novel interactions from HIV-1-human PPI data integrated with protein signatures and GO annotations.
Int. J. Bioinform. Res. Appl., 2021

Cloud Big Data Mining and Analytics: Bringing Greenness and Acceleration in the Cloud.
CoRR, 2021

2020
A survey on cancer prediction and detection with data analysis.
Innov. Syst. Softw. Eng., 2020

Efficient incremental loading in ETL processing for real-time data integration.
Innov. Syst. Softw. Eng., 2020

Role of Machine Learning in ETL Automation.
Proceedings of the ICDCN 2020: 21st International Conference on Distributed Computing and Networking, 2020

2019
Performance Analysis of Structured, Un-Structured, and Cloud Storage Systems.
Int. J. Ambient Comput. Intell., 2019

A New Approach for Conceptual Extraction-Transformation-Loading Process Modeling.
Int. J. Ambient Comput. Intell., 2019

A Comprehensive Survey on Cloud Data Mining (CDM) Frameworks and Algorithms.
ACM Comput. Surv., 2019

2018
Fault Analysis and Trend Prediction in Telecommunication Using Pattern Detection: Architecture, Case Study and Experimentation.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2018

Design and Implementation of an Improved Data Warehouse on Clinical Data.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2018

Empirical Analysis of Programmable ETL Tools.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2018

Dynamic FP Tree Based Rare Pattern Mining Using Multiple Item Supports Constraints.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2018

2017
Comparative Analysis of Structured and Un-Structured Databases.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017

SysML Based Conceptual ETL Process Modeling.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017

2016
A complete review of computational methods for human and HIV-1 protein interaction prediction.
Int. J. Bioinform. Res. Appl., 2016

2014
RCA as a Data Transforming Method: A Comparison with Propositionalisation.
Proceedings of the Formal Concept Analysis - 12th International Conference, 2014

2013
Algorithms for Data Mining and Bio-informatics. (Algorithmes pour la Fouille de Données et la Bioinformatique).
PhD thesis, 2013

2012
A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Prediction of Protein Interactions on HIV-1-Human PPI Data using a Novel Closure-based Integrated Approach.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

2010
MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010


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