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ICDMTB 2021: 15. International Conference on Data Mining Technology in Business

时间：2021-02-22 至 2021-02-23

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ICDMTB 2021: 15. International Conference on Data Mining Technology in Business
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ICDMTB 2021: 15. International Conference on Data Mining Technology in Business
会议时间：2021-02-22 至 2021-02-23
会议地点： Paris, France,Paris,France 周边酒店预订

发票类型： 不支持开票
参会凭证：其它

门票信息
Participation Type Early Registration Fees Registration Fees
Non-Student Oral/Poster Presenter Registration € 450 € 500
Student Oral/Poster Presenter Registration € 350 € 400
Listener Registration € 250 € 300
Additional Paper Publication € 100
会议介绍

The International Research Conference Aims and Objectives

The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.

ICDMTB 2021: 15. International Conference on Data Mining Technology in Business aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Data Mining Technology in Business. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Data Mining Technology in Business

Call for Contributions

Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Data Mining Technology in Business are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.

Guidelines for Authors

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 Guideline, Abstract Submission Guideline and Author Information before submitting your paper.

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

ICDMTB 2021 has teamed up with the Special Journal Issue on Data Mining Technology in Business. 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.

Application Forms

Selected Papers

  1. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  2. The Relationship between Class Attendance and Performance of Industrial Engineering Students Enrolled for a Statistics Subject at the University of Technology
    Tshaudi Motsima
  3. 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
  4. 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
  5. Performance Analysis of Search Medical Imaging Service on Cloud Storage Using Decision Trees
    González A. Julio, Ramírez L. Leonardo, Puerta A. Gabriel
  6. Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
    Rajvir Kaur, Jeewani Anupama Ginige
  7. A Construction Management Tool: Determining a Project Schedule Typical Behaviors Using Cluster Analysis
    Natalia Rudeli, Elisabeth Viles, Adrian Santilli
  8. Multivariate Assessment of Mathematics Test Scores of Students in Qatar
    Ali Rashash Alzahrani, Elizabeth Stojanovski
  9. A Design for Customer Preferences Model by Cluster Analysis of Geometric Features and Customer Preferences
    Yuan-Jye Tseng, Ching-Yen Chen
  10. Cluster Analysis of Customer Churn in Telecom Industry
    Abbas Al-Refaie
  11. An Analysis of Institutional Audits: Basis for Teaching, Learning and Assessment Framework and Principles
    Nabil El Kadhi, Minerva M. Bunagan
  12. Knowledge Discovery and Data Mining Techniques in Textile Industry
    Filiz Ersoz, Taner Ersoz, Erkin Guler
  13. Cluster Analysis of Retailers’ Benefits from Their Cooperation with Manufacturers: Business Models Perspective
    M. K. Witek-Hajduk, T. M. Napiórkowski
  14. JREM: An Approach for Formalising Models in the Requirements Phase with JSON and NoSQL Databases
    Aitana Alonso-Nogueira, Helia Estévez-Fernández, Isaías García
  15. Nuclear Fuel Safety Threshold Determined by Logistic Regression Plus Uncertainty
    D. S. Gomes, A. T. Silva
Yuping Yang University of Exeter, UK
Prudhvi Janga University of Cincinnati, US
Manish Anand Salesforce, US
Katrina Hunter-Mintz Walden University, US
Nivirita Nivirita Productions Inc, US
Ashish Chawla University of Texas at Arlington, US
Sugam Sharma Iowa State University, US
Hao Cheng University of Central Florida, US
Cheng Luo Coppin State University, US
Wan D. Bae University of Wisconsin-Stout, US
Fangyang Shen Ali Northern New Mexico College, US
Janet Kourik Webster University, US
Dhirendra Prasad National Institute of Technology Jamshedpur, IN
Senthil Kumar Venkatalu National Institute of Fashion Technology, IN
Rakhi Mathur Mewar University Rajasthan, IN
Vijay Velmurugan Jamal Mohamed College, IN
Robert Waszkowski Military University of Technology, PL
Irakli Basheleishvili Akaki Tsereteli State University, GE
Wendy Setlalentoa Central University of Technology, ZA
Nadeem Mahmood University of Karachi, PK
Shereen Hamadneh Al al-Bayt University, JO
Addin Osman Najran University, SA
Semra Turkan Hacettepe University, Turkey
Damola Olugbade Obafemi Awolowo University, Nigeria
Rachid Ait Daoud Sultan Moulay Slimane University, MA
Nida Rizvi Guru Gobind singh Indraprastha University, India
Efthymios Chondrogiannis National Technical University of Athens, Greece
Sihem Oujdi University of Sciences and Technology of Oran, Algeria
Amol Talankar Gyan Ganga Institute of Technology & Sciences, Jabalpur, India
Che Maznah Mat Isa Universiti Teknologi MARA , Malaysia
会议日程
Abstracts/Full-Text Paper Submission Deadline   January 06, 2020
Notification of Acceptance/Rejection   January 28, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   January 21, 2021
Conference Dates   February 22-23, 2021
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