您好,欢迎登录Mr.confs会先生官方网站!

ICISDMT 2021: 15. International Conference on Information Systems and Data Mining Technologies

时间:2021-04-29 至 2021-04-30

ICISDMT 2021: 15. International Conference on Information Systems and Data Mining Technologies
收藏0
ICISDMT 2021: 15. International Conference on Information Systems and Data Mining Technologies
会议时间:2021-04-29 至 2021-04-30
会议地点: Jerusalem, Israel,Vienna,Austria 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.

ICISDMT 2021: 15. International Conference on Information Systems and Data Mining Technologies aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Information Systems and Data Mining Technologies. 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 Information Systems and Data Mining Technologies

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Information Systems and Data Mining Technologies are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

ICISDMT 2021 has teamed up with the Special Journal Issue on Information Systems and Data Mining Technologies. 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. 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. Integration of Educational Data Mining Models to a Web-Based Support System for Predicting High School Student Performance
    Sokkhey Phauk, Takeo Okazaki
  3. 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
  4. Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
    Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
  5. AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
    Suelane Garcia Fontes, Silvio Luiz Stanzani, Pedro L. Pizzigatti Corrła Ronaldo G. Morato
  6. Data Integrity: Challenges in Health Information Systems in South Africa
    T. Thulare, M. Herselman, A. Botha
  7. Association Rules Mining and NOSQL Oriented Document in Big Data
    Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
  8. From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
    Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
  9. Using Textual Pre-Processing and Text Mining to Create Semantic Links
    Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
  10. A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
    Roman Graf, Sergiu Gordea, Heather M. Ryan
  11. Developing Structured Sizing Systems for Manufacturing Ready-Made Garments of Indian Females Using Decision Tree-Based Data Mining
    Hina Kausher, Sangita Srivastava
  12. Socio-Technical Systems: Transforming Theory into Practice
    L. Ngowi, N. H. Mvungi
  13. Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
    Walid Cherif
  14. An Improved K-Means Algorithm for Gene Expression Data Clustering
    Billel Kenidra, Mohamed Benmohammed
  15. 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
Reuven Aviv Open University of Israel, IL
Ezendu Ariwa University of Bedfordshire, UK
Elhadj Benkhelifa Staffordshire University, UK
John Kanyaru Heriot - Watt University, UK
Vishal Barot Loughborough University, UK
Mohammed Rezaul Karim Guildhall College, UK
Zaigham Mahmood University of Derby, UK
Huseyin Seker De Montfort University, UK
Catherine Fang Carnegie Mellon University, US
Elaine Crable Xavier University, US
Rushit Dave University Of Wisconsin, Eau Claire, US
Sue Feldman University of Alabama, US
Lekshmy Sankar University of Denver, US
Aziz Fellah Northwest Missouri State University, 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
Cheer-Sun Yang West Chester University, US
Sandeep Reddivari University of North Florida, US
Katherine Payne Brigham Young University, US
Yu Zhang EMC Corporation, US
James Nelson New Mexico State University, US
Fan Wang Microsoft Corporation, US
Venkat Krishnan Iowa State University, US
Antonios Marsellos University of Florida, US
Gurmukh Singh Fredonia State University, US
Victor Sheng University of Central Arkansas, US
BIN SONG Oracle America, Inc, US
Suresh Kamath MetLife Inc, US
会议日程
Abstracts/Full-Text Paper Submission Deadline   March 16, 2021
Notification of Acceptance/Rejection   April 01, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   March 29, 2021
Conference Dates   April 29-30, 2021
参会指南
会议地点
×