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ICBIBDA 2020: 14. International Conference on Business Intelligence and Big Data Analytics

时间：2020-12-24 至 2020-12-25

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ICBIBDA 2020: 14. International Conference on Business Intelligence and Big Data Analytics
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ICBIBDA 2020: 14. International Conference on Business Intelligence and Big Data Analytics
会议时间：2020-12-24 至 2020-12-25
会议地点： Vienna, Austria,Rome,Italy 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.

ICBIBDA 2020: 14. International Conference on Business Intelligence and Big Data Analytics aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Business Intelligence and Big Data Analytics. 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 Business Intelligence and Big Data Analytics

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Business Intelligence and Big Data Analytics are cordially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

ICBIBDA 2020 has teamed up with the Special Journal Issue on Business Intelligence and Big Data 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.

Application Forms

Selected Papers

  1. Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
    Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
  2. AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
    Suelane Garcia Fontes, Silvio Luiz Stanzani, Pedro L. Pizzigatti Corrła Ronaldo G. Morato
  3. Spatial Data Science for Data Driven Urban Planning: The Youth Economic Discomfort Index for Rome
    Iacopo Testi, Diego Pajarito, Nicoletta Roberto, Carmen Greco
  4. Object-Centric Process Mining Using Process Cubes
    Anahita Farhang Ghahfarokhi, Alessandro Berti, Wil M.P. van der Aalst
  5. Inferential Reasoning for Heterogeneous Multi-Agent Mission
    Sagir M. Yusuf, Chris Baber
  6. Probabilistic Approach of Dealing with Uncertainties in Distributed Constraint Optimization Problems and Situation Awareness for Multi-agent Systems
    Sagir M. Yusuf, Chris Baber
  7. Multi-Agent Searching Adaptation Using Levy Flight and Inferential Reasoning
    Sagir M. Yusuf, Chris Baber
  8. Association Rules Mining and NOSQL Oriented Document in Big Data
    Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
  9. Using Business Intelligence Capabilities to Improve the Quality of Decision-Making: A Case Study of Mellat Bank
    Jalal Haghighat Monfared, Zahra Akbari
  10. From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
    Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
  11. Using Textual Pre-Processing and Text Mining to Create Semantic Links
    Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
  12. Identifying Critical Success Factors for Data Quality Management through a Delphi Study
    Maria Paula Santos, Ana Lucas
  13. Technology, Organizational and Environmental Determinants of Business Intelligence Systems Adoption in Croatian SME: A Case Study of Medium-Sized Enterprise
    Ana-Marija Stjepić, Luka Sušac, Dalia Suša Vugec
  14. An Application of Path Planning Algorithms for Autonomous Inspection of Buried Pipes with Swarm Robots
    Richard Molyneux, Christopher Parrott, Kirill Horoshenkov
  15. A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
    Roman Graf, Sergiu Gordea, Heather M. Ryan
Ezendu Ariwa University of Bedfordshire, UK
Mohammed Rezaul Karim Guildhall College, UK
Huseyin Seker De Montfort University, UK
Himanshu Joshi Icahn School of Medicine at Mount Sinai, US
Hamza Saad Binghamton University, US
Sergio Davalos University of Washington Tacoma, US
Ayush Singhal University of Minnesota, Twin Cities, US
Thuan Nguyen School of Management - University of Texas at Dallas, US
Shanshan Tuo xAd Inc, US
Mohammed Korayem CareerBuilder, LLC., US
Sandeep Reddivari University of North Florida, US
Yu Zhang EMC Corporation, US
Fan Wang Microsoft Corporation, US
Venkat Krishnan Iowa State University, US
Victor Sheng University of Central Arkansas, US
BIN SONG Oracle America, Inc, US
Suresh Kamath MetLife Inc, US
Ashish Chawla University of Texas at Arlington, US
Lihua Zou Harvard University, US
Lei Yang Iowa State University, US
Mengyu Qiao New Mexico Institute of Mining and Technology, US
Rory Lewis University of Colorado at Colorado Springs, US
Hao Cheng University of Central Florida, US
Jing Hu Franklin & Marshall College, US
Jung Hun Oh Washington University in St. Louis, US
Bert Little Tarleton State University-Texas A & M University System, US
Huanjing Wang Western Kentucky University, US
Cheng Luo Coppin State University, US
Mariofanna Milanova University of Arkansas at Little Rock, US
Guangzhi Qu Oakland University, US
会议日程
Abstracts/Full-Text Paper Submission Deadline   November 17, 2020
Notification of Acceptance/Rejection   December 01, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   November 26, 2020
Conference Dates   December 24-25, 2020
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