ICBDHSS 2021: 15. International Conference on Big Data in Human and Social Sciences
- 会议时间：2021-01-21 至 2021-01-22
- 会议地点： Amsterdam, Netherlands,Amsterdam,Netherlands 周边酒店预订
发票类型：
不支持开票
参会凭证：其它
| 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 | |
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.
ICBDHSS 2021: 15. International Conference on Big Data in Human and Social Sciences aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Big Data in Human and Social Sciences. 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 Big Data in Human and Social Sciences
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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Big Data in Human and Social Sciences are cordially invited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
ICBDHSS 2021 has teamed up with the Special Journal Issue on Big Data in Human and Social Sciences. 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
- Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles
Syed Iftikhar Hussain Shah, Vasilis Peristeras, Ioannis Magnisalis - 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 - Association Rules Mining and NOSQL Oriented Document in Big Data
Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub - Reduction of Energy Consumption Using Smart Home Techniques in the Household Sector
Ahmed Al-Adaileh, Souheil Khaddaj - Microclimate Variations in Rio de Janeiro Related to Massive Public Transportation
Marco E. O. Jardim, Frederico A. M. Souza, Valeria M. Bastos, Myrian C. A. Costa, Nelson F. F. Ebecken - Predictive Analysis for Big Data: Extension of Classification and Regression Trees Algorithm
Ameur Abdelkader, Abed Bouarfa Hafida - Interactive Effects in Blended Learning Mode: Exploring Hybrid Data Sources and Iterative Linkages
Hock Chuan, Lim - Automatic Adjustment of Thresholds via Closed-Loop Feedback Mechanism for Solder Paste Inspection
Chia-Chen Wei, Pack Hsieh, Jeffrey Chen - Text Mining of Twitter Data Using a Latent Dirichlet Allocation Topic Model and Sentiment Analysis
Sidi Yang, Haiyi Zhang - Anti-Social Media: Implications of Social Media in the Form of Stressors on Our Daily Lives
Aimen Batool Bint-E-Rashid, Huma Irfan - Real-Time Data Stream Partitioning over a Sliding Window in Real-Time Spatial Big Data
Sana Hamdi, Emna Bouazizi, Sami Faiz - CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
Eman AbuKhousa, Marwan Z. Bataineh - Evaluating the Perception of Roma in Europe through Social Network Analysis
Giulia I. Pintea - A Dataset of Program Educational Objectives Mapped to ABET Outcomes: Data Cleansing, Exploratory Data Analysis and Modeling
Addin Osman, Anwar Ali Yahya, Mohammed Basit Kamal - Composite Kernels for Public Emotion Recognition from Twitter
Chien-Hung Chen, Yan-Chun Hsing, Yung-Chun Chang
| Zhizhong Jiang | Birmingham Business School, UK |
| Kenneth Lee | California State 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 |
| Harshavardhan Achrekar | University of Massachusetts Lowell, US |
| Yizhen Liu | Research Institue of Huawei at U.S., US |
| Mohammed Korayem | CareerBuilder, LLC., US |
| Prudhvi Janga | University of Cincinnati, US |
| Patrick Bell | Florida International University, US |
| Feifan Liu | University of Wisconsin Milwaukee, US |
| Sugam Sharma | Iowa State University, US |
| Waleed Zaghloul | Health Language Inc., US |
| Omar Khan | University of Maine, US |
| Shah Jamal Alam | University of Michigan, US |
| Janet Kourik | Webster University, US |
| Hemant Balakrishnan | University of Central Florida, US |
| Emiljan Karma | Lady of Good Counsel University, AL |
| Chandrasekhar Subramanyam | IFIM Business School, IN |
| Mahmoud Al-Khasawneh | Al-Madinah International University, MY |
| Bogdan Paul Romanica | Alexandru Ioan Cuza University of Iasi, RO |
| Patricia Mackenzie | University of Victoria, CA |
| May Yee Ng | Heriot-Watt University, Malaysia, GB |
| Zahid Yaseen | Government College Women University, Sialkot Pakistan, PK |
| Mohcine Kodad | University Mohammed First, MA |
| Md Tabrez Nafis | Jamia Hamdard University, IN |
| Rakhi Mathur | Mewar University Rajasthan, IN |
| Damian Islas | University of Durango State, MX |
| Chandrasekhar Subramanyam | IFIM Business School, IN |
| Abstracts/Full-Text Paper Submission Deadline | December 15, 2020 | |
| Notification of Acceptance/Rejection | December 30, 2020 | |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline | December 15, 2020 | |
| Conference Dates | January 21-22, 2021 |
