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ICDMIEM 2021: 15. International Conference on Data Mining for Industrial Engineering and Management

时间：2021-06-15 至 2021-06-16

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ICDMIEM 2021: 15. International Conference on Data Mining for Industrial Engineering and Management
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ICDMIEM 2021: 15. International Conference on Data Mining for Industrial Engineering and Management
会议时间：2021-06-15 至 2021-06-16
会议地点： Toronto, Canada,Vancouver,Canada 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.

ICDMIEM 2021: 15. International Conference on Data Mining for Industrial Engineering 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 Mining for Industrial Engineering 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 Mining for Industrial Engineering 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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Data Mining for Industrial Engineering and Management are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

ICDMIEM 2021 has teamed up with the Special Journal Issue on Data Mining for Industrial Engineering 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.

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. Automatic Product Identification Based on Deep-Learning Theory in an Assembly Line
    Fidel Lòpez Saca, Carlos Avilés-Cruz, Miguel Magos-Rivera, José Antonio Lara-Chávez
  4. Association Rules Mining and NOSQL Oriented Document in Big Data
    Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
  5. From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
    Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
  6. Using Textual Pre-Processing and Text Mining to Create Semantic Links
    Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
  7. A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
    Roman Graf, Sergiu Gordea, Heather M. Ryan
  8. Developing Structured Sizing Systems for Manufacturing Ready-Made Garments of Indian Females Using Decision Tree-Based Data Mining
    Hina Kausher, Sangita Srivastava
  9. Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
    Walid Cherif
  10. An Improved K-Means Algorithm for Gene Expression Data Clustering
    Billel Kenidra, Mohamed Benmohammed
  11. 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
  12. CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
    Eman AbuKhousa, Marwan Z. Bataineh
  13. Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative Frequency
    Semeh Ben Salem, Sami Naouali, Moetez Sallami
  14. Application of Data Mining Techniques for Tourism Knowledge Discovery
    Teklu Urgessa, Wookjae Maeng, Joong Seek Lee
  15. 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
Armin Moniri Canmet ENERGY Devon, Natural Resources Canada, CA
Srinivas Ganapathyraju Sheridan Institute of Technology, CA
A. Fazel Famili Institute for Information Technology, CA
Mohammed Rezaul Karim Guildhall College, UK
Huseyin Seker De Montfort University, UK
Yuping Yang University of Exeter, UK
Bo Jin Air Products, 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
Prudhvi Janga University of Cincinnati, US
Sandeep Reddivari University of North Florida, US
Yu Zhang EMC Corporation, US
Manish Anand Salesforce, US
Soroor Alkhafaji Auburn University, US
Nivirita Nivirita Productions Inc, 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
Sugam Sharma Iowa State University, 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
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   May 17, 2021
Conference Dates   June 15-16, 2021
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