Special Issue "Sustainable Data Science and Machine Learning for Business, Research and Innovation"
Deadline for manuscript submissions: closed (30 September 2020).
2. Effat University, Jeddah, Saudi Arabia
Interests: cognitive computing; artificial intelligence; data science; bioinformatics; innovation; big data research; data mining; emerging technologies; information systems; technology driven innovation; knowledge management; semantic web
Special Issues and Collections in MDPI journals
Special Issue in Sensors: Smart Sensor Networks and Technology for Healthcare Monitoring and Decision Making
Special Issue in Sustainability: Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness
Special Issue in Sustainability: Integrated Migration Management, ICTs' enhanced Responses and Policy Making: Towards Human Centric Migration Management Systems
Special Issue in Energies: Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
Special Issue in Sustainability: Big Data Research for Social Sciences and Social Impact
Special Issue in Applied Sciences: Data Analytics in Smart Healthcare
Special Issue in Sustainability: OBOR—One Belt One Road Research: New Forms of International and Cross-Industry Collaboration for Sustainable Growth and Development
Special Issue in Sustainability: Sustainable Smart Cities and Smart Villages Research: Rethinking Security, Safety, Well-being and Happiness
Special Issue in Journal of Open Innovation: Technology, Market, and Complexity: Technology Driven Innovation, Research Management and Policy Making
Topical Collection in Sustainability: Sustainable Smart Cities and Villages
Special Issue in Sustainability: Artificial Intelligence and Cognitive Computing: Methods, Technologies, Systems, Applications and Policy Making
Special Issue in Sustainability: Technology Enhanced Learning Research
Special Issue in Sensors: Internet of Things and Artificial Intelligence in Transportation Revolution
Special Issue in Sustainability: Belt & Road Initiative in Times of ‘Synchronized Downturn’: Issues, Challenges, Opportunities
Special Issue in Applied Sciences: Innovations and Applications in Smart Sustainable Cities and Communities
Special Issue in Sustainability: Sustainable Future Energy Systems: Artificial Intelligence Development in Smart Grid
Special Issue in Urban Science: Rethinking Urban Space: From Smart Services and Smart Applications to Resilience and Well-Being
Special Issue in Sustainability: Knowledge Management and Social Capital/Value for Sustainability
Special Issue in Applied Sciences: Data Science for Healthcare Intelligence
Special Issue in Sustainability: Training, Education and Research in COVID-19 Times: Innovative Methodological Approaches, Best Practices, and Case Studies
Special Issue in Mathematics: Classification, Diagnosis and Prognosis of Diseases Using Machine Learning Algorithms
Information systems and data science have contributed significantly to Sustainability Research in the last decade. The latest arrivals in the domains, including cyberphysical systems, artificial intelligence, edge computing, quantum computing, and sentiment and behavioral analysis, provide a brand-new context for Sustainability Research.
To this end, the Guest Editors of this Special Issue seek papers that address, but are not limited to, the following issues and aspects related to the diverse aspects of Sustainable Data Science Research:
Data Science Topics
- Statistics research for data processing;
- Linear algebra algorithms for data science;
- Programming solutions;
- Machine learning;
- Data mining;
- Data visualization;
- R mining applications;
- Building recommendation engines and deep learning models;
- Smart cities applications and data science;
Analytics Research for Sustainability
- Dashboards and decision making analytics;
- Emerging platforms, infrastructures, systems;
- Sophisticated reasoning/natural language processing/speech recognition/human computer interaction;
- KPI research;
Industry Applications and Tools
- SAP solutions;
- Tableau case studies;
- R-mining exemplar data mining;
- Dashboards for smart cities;
Policy Making for Data Science and Regional Studies
- Data science in the Middle East;
- Policy making for sustainable data science;
- Policies for skills and competencies management related to data science;
R&D Projects Dissemination
- Horizon 2020 projects;
- Vision 2030 Saudi Arabia;
- Digital transformation.
Chen, M.-Y.; Lytras, M.D.; Sangaiah, A.K. Anticipatory computing: Crowd intelligence from social network and big data. Comput. Hum. Behav. 2019, 101, 350–351.
Lytras, M.D.; Visvizi, A. Big data and their social impact: Preliminary study. Sustainability 2019, 11, 5067.
Lytras, M.D.; Chui, K.T. The recent development of artificial intelligence for smart and sustainable energy systems and applications. Energies 2019, 12, 3108.
Lytras, M.D.; Chui, K.T.; Visvizi, A. Data analytics in smart healthcare: The recent developments and beyond. Appl. Sci. 2019, 9, 2812.
Lytras, M.D.; Hassan, S.-U.; Aljohani, N.R. Linked open data of bibliometric networks: analytics research for personalized library services. Libr. Hi Tech. 2019, 37, 2–7.
Lytras, M.; Visvizi, A.; Damiani, E.; Mathkour, H. The cognitive computing turn in education: Prospects and application. Comput. Hum. Behav. 2019, 92, 446–449.
Arafat, S.; Aljohani, N.; Abbasi, R.; Hussain, A.; Lytras, M. Connections between e-learning, web science, cognitive computation and social sensing, and their relevance to learning analytics: A preliminary study. Comput. Hum. Behav. 2019, 92, 478–486.
Lytras, M.D.; Visvizi, A.; Sarirete, A. Clustering smart city services: Perceptions, expectations, responses. Sustainability 2019, 11, 1669.
Zhang, X.; Lytras, M.D.; Aljohani, N.R. Cognitive computing alternate research track chairs' welcome. In Proceedings of The 26th International World Wide Web Conference 2017, Perth, Australia, 3–7 April 2017.
Chui, K.T.; Liu, R.W.; Lytras, M.D.; Zhao, M. Big data and IoT solution for patient behaviour monitoring.
Behav. Inf. Technol. 2019, 38, 940–949.
Chui, K.T.; Lytras, M.D.; Visvizi, A. Energy sustainability in smart cities: Artificial intelligence, smart monitoring, and optimization of energy consumption. Energies 2018, 11, 2869.
Spruit, M.; Lytras, M. Applied data science in patient-centric healthcare: Adaptive analytic systems for empowering physicians and patients. Telemat. Inform. 2018, 35, 643–653.
Prof. Dr. Miltiadis D. Lytras
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Data science
- Edge computing
- Cyberphysical systems
- Artificial intelligence
- Cognitive computing
- Machine learning
- Deep learning
- Big data
- Data analytics
- Visual analytics
- Conceptual approaches
- International collaboration