milaan9 / milaan9

Hey! Nice to see you

Hi, I'am Dr. Milaan! Researcher - Data Science & Machine Learning with AI

Languages

English ★★★

Mandarin ★★☆

Russian ★★☆

Hindi ★★★

German ★☆☆

NOW

• Currently working on developing new clustering algorithms for autonomous pattern recognition

BIO

• 🏢 Lecturer at University of Tennessee
• 🔭 Area of interest is in and
• 🎯 Specifically interested in finding hidden patterns, rules and knowledge from a dataset.
• 🌱 Learning all about and
• Looking to collaborate on Open Source Projects on
• Ping me about and

• Reach me:

☰ Click for List of Publications (click to expand) 🔗

📜Journal Articles

No	Title	DOI	Journal
01	An Improved Integrated Clustering Learning Strategy Based on Three-Stage Affinity Propagation Algorithm with Density Peak Optimization Theory (2021)		Complexity
02	Stock price forecasting based on LLE-BP neural network model (2020)		Physica A: Statistical Mechanics and its Applications
03	REDPC: A residual error-based density peak clustering algorithm (2019)		Neurocomputing
04	A Novel Density Peaks Clustering Halo Node Assignment Method based on K-Nearest Neighbor Theory (2019)		IEEE Access
05	FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy (2019)		IEEE Access
06	Empirical likelihood based inference for generalized additive partial linear models (2018)		Applied Mathematics and Computation
07	GDPC: Gravitation-based Density Peaks Clustering algorithm (2018)		Physica A: Statistical Mechanics and its Applications
08	Pocket-switch-network based services optimization in crowdsourced delivery systems (2017)		Computers & Electrical Engineering
09	Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation (2017)		Journal of Electronic Commerce in Organizations
10	FP-ABC: Fast and Parallel ABC Based Energy-Efficiency Live VM Allocation Policy in Data Centers (2016)		Scientific Programming

📃 Conference Proceedings

No	Title	DOI	Conference
01	A novel density peak clustering algorithm based on squared residual error (2017)		2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)
02	A Prediction of Financial Distress for Listed Companies of the New tertiary board Based on Factor Analysis and Logistic Regression (2016)		Proceedings of the 2016 International Conference on Education, Management Science and Economics

📖 Book Chapter

No	Title	DOI	Book Chapter
01	Parameters Estimation of Regression Model Based on the Improved AFSA (2017)		Recent Developments in Intelligent Systems and Interactive Applications

☰ Click for GitHub Stats (click to expand)

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