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ICDADAM 2021: 15. International Conference on Data Analysis, Decision Analysis and Management

时间:2021-04-08 至 2021-04-09

ICDADAM 2021: 15. International Conference on Data Analysis, Decision Analysis and Management
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ICDADAM 2021: 15. International Conference on Data Analysis, Decision Analysis and Management
会议时间:2021-04-08 至 2021-04-09
会议地点: Athens, Greece,Athens,Greece 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 Ticket Fees Registration Ticket Fees
Non-Student Oral/Poster Presenter Registration € 350 € 400
Student Oral/Poster Presenter Registration € 300 € 350
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.

ICDADAM 2021: 15. International Conference on Data Analysis, Decision Analysis and Management 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 Analysis, Decision Analysis and Management. 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 Analysis, Decision Analysis and Management

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Data Analysis, Decision Analysis and Management are cordially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

ICDADAM 2021 has teamed up with the Special Journal Issue on Data Analysis, Decision Analysis and Management. 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.

Selected Papers

  1. Feature Analysis of Predictive Maintenance Models
    Zhaoan Wang
  2. Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes
    Ilona Mewes, Helena Jenzer, Farshideh Einsele
  3. Performance Analysis of Traffic Classification with Machine Learning
    Htay Htay Yi, Zin May Aye
  4. A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing Attacks
    Lakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier
  5. Integration of Educational Data Mining Models to a Web-Based Support System for Predicting High School Student Performance
    Sokkhey Phauk, Takeo Okazaki
  6. Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
    Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
  7. An Application for Risk of Crime Prediction Using Machine Learning
    Luis Fonseca, Filipe Cabral Pinto, Susana Sargento
  8. Machine Learning Facing Behavioral Noise Problem in an Imbalanced Data Using One Side Behavioral Noise Reduction: Application to a Fraud Detection
    Salma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada
  9. Machine Learning Development Audit Framework: Assessment and Inspection of Risk and Quality of Data, Model and Development Process
    Jan Stodt, Christoph Reich
  10. Analysis and Identification of Different Factors Affecting Students’ Performance Using a Correlation-Based Network Approach
    Jeff Chak-Fu Wong, Tony Chun Yin Yip
  11. Improving Fake News Detection Using K-means and Support Vector Machine Approaches
    Kasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy
  12. Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
    Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
  13. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  14. The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
    Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan
  15. Modeling Engagement with Multimodal Multisensor Data: The Continuous Performance Test as an Objective Tool to Track Flow
    Mohammad H. Taheri, David J. Brown, Nasser Sherkat
Elias Maragos University of Piraeus, GR
Charalampos Bratsas Aristotle University of Thessaloniki, GR
Sotiris Kotsiantis University of Patras, GR
Mohammed Rezaul Karim Guildhall College, UK
Chee Seng Chan University of Portsmouth, UK
Zhizhong Jiang Birmingham Business School, UK
Huseyin Seker De Montfort University, UK
Rushit Dave University Of Wisconsin, Eau Claire, US
Akansha Kumar Texas A&M University, US
Mohammad Shekaramiz Utah Valley University, US
Kenneth Lee California State University, US
Himanshu Joshi Icahn School of Medicine at Mount Sinai, US
Chung Hyun Goh University of Texas at Tyler, US
Akilesh Rajavenkatanarayanan The University of Texas at Arlington, US
Mahdi Imani George Washington University, US
Arash Mahyari Florida Institute For Human and Machine Cognition, US
Samir Iqbal University of Texas Rio Grande Valley, US
Hamza Saad Binghamton University, US
Nagdev Amruthnath Western Michigan University, US
Sergio Davalos University of Washington Tacoma, US
Ayush Singhal University of Minnesota, Twin Cities, US
Naga Usha Gayathri Lokala Wright State University, US
Thuan Nguyen School of Management - University of Texas at Dallas, US
Elnaz Lashgari California State University and Claremont Graduate University, US
Shanshan Tuo xAd Inc, US
Harshavardhan Achrekar University of Massachusetts Lowell, US
Mohammed Korayem CareerBuilder, LLC., US
Sandeep Reddivari University of North Florida, US
Yu Zhang EMC Corporation, US
Patrick Bell Florida International University, US
会议日程
Abstracts/Full-Text Paper Submission Deadline   March 01, 2021
Notification of Acceptance/Rejection   March 15, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   March 08, 2021
Conference Dates   April 08-09, 2021
参会指南
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