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pro vyhledávání: '"Alisa Sotsenko"'
Publikováno v:
FiCloud Workshops
In this paper we present an approach for contextual big data analytics in social networks, particularly in Twitter. The combination of a Rich Context Model (RCM) with machine learning is used in order to improve the quality of the data mining techniq
Autor:
Jim Jansen, Yaser Jararweh, Carlo Giglio, Alisa Sotsenko, Gaye Ibrahima, Mohammed Alodib, Ulrik Franke, Jose F. Vicent, Sheng Wen, Abdelmounaam Rezgui, Danish Irfan, Azouaou Faical, Mohammed Al-Dhelaan, Mahmoud Al-Ayyoub, Hadel Alhawasi, Ahmed Abdeen Hamed, Vito Santarcangelo, Robayet Nasim, Mosab Faqeeh, Elhadj Benkhelifa, Amal Alhosban, Bin Guo, Heider A. Wahsheh, Mohammed N. Al-Kabi, Muhannad Quwaider, Omar Qawasmeh, Marc Jansen, Tolga Soyata, Zaki Malik, Rocio Martinez-Torres, Izzat Alsmadi, Khayyam Hashmi, Rehab Duwairi
Publikováno v:
2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW).
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319265162
This chapter describes our research efforts related to the design of mobile learning (m-learning) applications in cloud-computing (CC) environments. Many cloud-based services can be used/integrated in m-learning scenarios, hence, there is a rich sour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d26e30fa18d6ff7be414eb4ce0fd3e40
https://doi.org/10.1007/978-3-319-26518-6_7
https://doi.org/10.1007/978-3-319-26518-6_7
Publikováno v:
FiCloud
In this paper we present an approach for People-to-People recommendations based on a Rich Context Model (RCM). We consider personal user information as contextual information used for our recommendations. The evaluation of our recommendation approach
Publikováno v:
12th World Conference on Mobile and Contextual Learning (mLearn 2013).
In recent years, many efforts have been undertaken in order to design and deploy learning activities that make use of modern mobile devices, like smartphones and tablet PC's. Hence, new possibilities for supporting these so-called mobile learning sce
Publikováno v:
Scopus-Elsevier
WEBIST
WEBIST
Mobile devices, in the form of smartphones, are endowed with rich capabilities in terms of multimedia, sensors and connectivity. The wide adoption of these devices allows using them across differen ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02ac57fd0d71e296a8f9a155143c9367
http://www.scopus.com/inward/record.url?eid=2-s2.0-84887093051&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84887093051&partnerID=MN8TOARS