Conference Information

AIDD 2026: International Conference on AI, Data Mining and Data Science

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Submission Date:
2026-08-22
Notification Date:
2026-09-29
Conference Date:
2026-10-30
Location:
Online
Years:
4
Viewed: 599   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.8 / 100
Ranked #3,846 of 5,689 conferences · Top 68%

#225 of 337 in Data Mining & Databases

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
43
Community attention (10%)
13
Public record completeness (15%)
35

Inputs used: Editions on record: 4 · Researchers who opened this page in the past 24 months: 5

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-01

Call For Papers

AIDD 2026 (International Conference on AI, Data Mining and Data Science) is an academic conference held in Online on 2026-10-30. The paper submission deadline is 2026-08-22. Acceptance notifications are sent on 2026-09-29.

Scope 4th International Conference on AI, Data Mining and Data Science (AIDD 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Data mining, and Data Science. The Conference looks for significant contributions to all major fields of the AI, Data mining, and Data Science in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to: Topics of interest Artificial Intelligence · AI Algorithms Tools & Applications · Automatic Control · Bayesian Network Data Mining · Bioinformatics · CAD Design & Testing · Classification Regression Clustering & Association Rules · Computational Theories of Learning · Computer Vision and Speech Understanding · Data Mining and Machine Learning Tools · Data Mining Applications · Data mining in Medical Informatics · Deep Learning · Dimensionality reduction · Disaster prediction and Management · Educational Data Mining · Enterprise and Business Data Management · Feature selection and Data Cleansing · Fuzzy Logic · Heuristic and AI Planning Strategies and Tools · Hybrid Intelligent Systems · Intelligent System Architectures · Knowledge Processing · Knowledge Representation · Knowledge-based Systems · Machine Learning · Multimedia & Cognitive Informatics · Natural Language Processing · Neural Networks · Pattern Recognition · Pervasive Computing and Ambient Intelligence · Reasoning and Evolution · Robotics · Semantic Web Techniques and Technologies · Soft Computing Theory and Applications · Web Intelligence Applications & Search Data Science · Big Data Fundamentals and Applications Internet of Things (IoT) · Big Data Management and Frameworks · Big Data Search · Information Retrieval · Large-scale Data mining · Outlier Analysis · Statistics for intelligent data Analysis · Visual data mining Data mining · Bayesian Network · Big Data security · Classification Regression Clustering & Association rules · Consistent Data Model · Data and Knowledge Representation · Data Mining Applications · Data mining in Medical Informatics · Data Streams Mining Graph Database & Mining Spatial Data Mining · Databases & Financial Modelling · Deep Learning · Dimensionality reduction · Disaster prediction and Management · Educational Data Mining · Forecasting Classification Clustering · Inference of Causes Prediction Evaluating Consolidating and Explaining Discovered Knowledge · Infrastructures for Big Data · Integrating Constraints and Knowledge in the KDD Process · Integration of Data Warehousing · Interactive Data Exploration / Visualization and Discovery · Knowledge Discovery Framework and Process Including Pre- and Post-Processing · Knowledge Processing · Languages and Interfaces for Data Mining · Learning in Knowledge-intensive Systems · Learning Problems · Machine Learning Applications · Machine Learning · Mining from Low-Quality Information Sources · Mining Trends Opportunities and Risks · OLAP and Data Mining · Operations Research · Parallel and Distributed Data Mining Algorithms · Pre-Processing Techniques Visualization · Reasoning and Evolution · Robotics · Security and Information Hiding in Data Mining · Semantic Web Techniques and Technologies · Social Networks Educational Data Mining · Soft Computing Theory and Applications · Statistical Techniques for Generation a Robust · Text video Multimedia Data Mining Web Mining · Web Intelligence Applications & Search
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