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Hybrid Event

7th - 8th August 2026 | Tokyo, Japan

International Conference on Information Science and Machine Learning (ICISML - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICISML) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Information Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

01
Machine Learning Algorithms for Information Science
02
Data Mining Techniques in Information Retrieval
03
Artificial Intelligence in Information Systems
04
Predictive Analytics for Decision Making
05
Big Data Analytics in Machine Learning
06
Natural Language Processing Applications
07
Information Visualization Techniques
08
Data Preprocessing and Feature Engineering
09
Deep Learning for Information Science
10
Reinforcement Learning in Data Analysis
11
Ethics in Machine Learning Applications
12
Collaborative Filtering and Recommendation Systems
13
Text Mining and Sentiment Analysis
14
Graph-Based Machine Learning Approaches
15
Data Quality and Management Challenges
16
Real-Time Data Processing Techniques
17
Information Retrieval in Social Networks
18
Scalable Machine Learning Solutions
19
Interdisciplinary Approaches in Information Science
20
Future Directions in Machine Learning Research

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.