Open Science Research Excellence

ICBDMA 2021 : International Conference on Business Data Mining and Analytics

Barcelona, Spain
March 4 - 5, 2021

Conference Code: 21ES03ICBDMA

Conference Proceedings

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

Special Journal Issues

ICBDMA 2021 has teamed up with the Special Journal Issue on Business Data Mining and Analytics. 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   January 28, 2021
Notification of Acceptance/Rejection   February 11, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   February 10, 2021
Conference Dates   March 4 - 5, 2021

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) Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes
Ilona Mewes, Helena Jenzer, Farshideh Einsele
2) Parametric Approach for Reserve Liability Estimate in Mortgage Insurance
Rajinder Singh, Ram Valluru
3) Machine Learning Techniques in Bank Credit Analysis
Fernanda M. Assef, Maria Teresinha A. Steiner
4) Developing an Advanced Algorithm Capable of Classifying News, Articles and Other Textual Documents Using Text Mining Techniques
R. B. Knudsen, O. T. Rasmussen, R. A. Alphinas
5) The Relationship between Class Attendance and Performance of Industrial Engineering Students Enrolled for a Statistics Subject at the University of Technology
Tshaudi Motsima
6) Impact of Quality Assurance Mechanisms on the Work Efficiency of Staff in the Educational Space of Georgia
B. Gechbaia, K. Goletiani, G. Gabedava, N. Mikeltadze
7) Performance Analysis of Search Medical Imaging Service on Cloud Storage Using Decision Trees
González A. Julio, Ramírez L. Leonardo, Puerta A. Gabriel
8) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
9) A Construction Management Tool: Determining a Project Schedule Typical Behaviors Using Cluster Analysis
Natalia Rudeli, Elisabeth Viles, Adrian Santilli
10) Multivariate Assessment of Mathematics Test Scores of Students in Qatar
Ali Rashash Alzahrani, Elizabeth Stojanovski
11) A Design for Customer Preferences Model by Cluster Analysis of Geometric Features and Customer Preferences
Yuan-Jye Tseng, Ching-Yen Chen
12) Cluster Analysis of Customer Churn in Telecom Industry
Abbas Al-Refaie
13) An Analysis of Institutional Audits: Basis for Teaching, Learning and Assessment Framework and Principles
Nabil El Kadhi, Minerva M. Bunagan
14) Knowledge Discovery and Data Mining Techniques in Textile Industry
Filiz Ersoz, Taner Ersoz, Erkin Guler
15) Cluster Analysis of Retailers’ Benefits from Their Cooperation with Manufacturers: Business Models Perspective
M. K. Witek-Hajduk, T. M. Napiórkowski

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