Conference Code: 20JP05ICMDMDM
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.
ICMDMDM 2020: International Conference on Mobile Data Management and Data Mining aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Mobile Data Management and Data Mining. 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 Mobile Data Management and Data Mining.
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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Mobile Data Management and Data Mining are cordially invited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.
WASET
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
ICMDMDM 2020 has teamed up with the Special Journal Issue on
Mobile Data Management and Data Mining.
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.
Important Dates
Abstracts/Full-Text Paper Submission Deadline |
|
December 30, 2019 |
Notification of Acceptance/Rejection |
|
January 15, 2020 |
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
April 26, 2020 |
Conference Dates |
|
May 28 - 29, 2020 |
Important Notes
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 GUIDE before submitting your paper.
Selected Conference Papers
1) A Functional Thermochemical Energy Storage System for Mobile Applications: Design and Performance AnalysisJure Galović, Peter Hofmann 2) Using Textual Pre-Processing and Text Mining to Create Semantic LinksRicardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo 3) From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural NetworksGaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone 4) State of Play of Mobile Government Apps on Google Play StoreAbdelbaset Rabaiah 5) A Bayesian Classification System for Facilitating an Institutional Risk Profile DefinitionRoman Graf, Sergiu Gordea, Heather M. Ryan 6) Hybrid Reliability-Similarity-Based Approach for Supervised Machine LearningWalid Cherif 7) An Improved K-Means Algorithm for Gene Expression Data ClusteringBillel Kenidra, Mohamed Benmohammed 8) Road Traffic Accidents Analysis in Mexico City through Crowdsourcing Data and Data Mining TechniquesGabriela V. Angeles Perez, Jose Castillejos Lopez, Araceli L. Reyes Cabello, Emilio Bravo Grajales, Adriana Perez Espinosa, Jose L. Quiroz Fabian 9) Energy Efficiency Analysis of Crossover Technologies in Industrial ApplicationsW. Schellong 10) Comparison of Security Challenges and Issues of Mobile Computing and Internet of ThingsAabiah Nayeem, Fariha Shafiq, Mustabshra Aftab, Rabia Saman Pirzada, Samia Ghazala 11) CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education Eman AbuKhousa, Marwan Z. Bataineh 12) Application of Data Mining Techniques for Tourism Knowledge DiscoveryTeklu Urgessa, Wookjae Maeng, Joong Seek Lee 13) Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning MethodDalin Si, Azizan Aziz, Bertrand Lasternas 14) Implementation of an IoT Sensor Data Collection and Analysis LibraryJihyun Song, Kyeongjoo Kim, Minsoo Lee 15) Conceptualizing the Knowledge to Manage and Utilize Data Assets in the Context of Digitization: Case Studies of Multinational Industrial EnterprisesMartin Böhmer, Agatha Dabrowski, Boris Otto
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