Excellence in Research and Innovation for Humanity

ICBIDM 2022 : 24th International Conference on Business Intelligence and Data Mining

Kyoto, Japan
November 16 - 17, 2022

Conference Code: 22JP11ICBIDM

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the International Science Index (ISI), Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICBIDM 2022 has teamed up with the Special Journal Issue on Business Intelligence and Data Mining. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   May 16, 2022
Notification of Acceptance/Rejection   August 16, 2022
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   July 12, 2022
Conference Dates   November 16 - 17, 2022

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
2) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
3) CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
Eman AbuKhousa, Marwan Z. Bataineh
4) Neuron Efficiency in Fluid Dynamics and Prediction of Groundwater Reservoirs'' Properties Using Pattern Recognition
J. K. Adedeji, S. T. Ijatuyi
5) Automated Heart Sound Classification from Unsegmented Phonocardiogram Signals Using Time Frequency Features
Nadia Masood Khan, Muhammad Salman Khan, Gul Muhammad Khan
6) Road Traffic Accidents Analysis in Mexico City through Crowdsourcing Data and Data Mining Techniques
Gabriela V. Angeles Perez, Jose Castillejos Lopez, Araceli L. Reyes Cabello, Emilio Bravo Grajales, Adriana Perez Espinosa, Jose L. Quiroz Fabian
7) A Neural Network Classifier for Estimation of the Degree of Infestation by Late Blight on Tomato Leaves
Gizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira
8) Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning Method
Dalin Si, Azizan Aziz, Bertrand Lasternas
9) Application of Data Mining Techniques for Tourism Knowledge Discovery
Teklu Urgessa, Wookjae Maeng, Joong Seek Lee
10) Image Rotation Using an Augmented 2-Step Shear Transform
Hee-Choul Kwon, Heeyong Kwon
11) Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative Frequency
Semeh Ben Salem, Sami Naouali, Moetez Sallami
12) An Improvement of Multi-Label Image Classification Method Based on Histogram of Oriented Gradient
Ziad Abdallah, Mohamad Oueidat, Ali El-Zaart
13) A Computational Cost-Effective Clustering Algorithm in Multidimensional Space Using the Manhattan Metric: Application to the Global Terrorism Database
Semeh Ben Salem, Sami Naouali, Moetez Sallami
14) A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops
Gizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha
15) Summarizing Data Sets for Data Mining by Using Statistical Methods in Coastal Engineering
Yunus Doğan, Ahmet Durap

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