International Conference on Information Science and Machine Learning ICISML

Call For Papers

The ICISML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Information Science , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Machine Learning Algorithms for Information Science

Data Mining Techniques in Information Retrieval

Artificial Intelligence in Information Systems

Predictive Analytics for Decision Making

Big Data Analytics in Machine Learning

Natural Language Processing Applications

Information Visualization Techniques

Data Preprocessing and Feature Engineering

Deep Learning for Information Science

Reinforcement Learning in Data Analysis

Ethics in Machine Learning Applications

Collaborative Filtering and Recommendation Systems

Text Mining and Sentiment Analysis

Graph-Based Machine Learning Approaches

Data Quality and Management Challenges

Real-Time Data Processing Techniques

Information Retrieval in Social Networks

Scalable Machine Learning Solutions

Interdisciplinary Approaches in Information Science

Future Directions in Machine Learning Research

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event