@inproceedings{67ab24412e9242858baedabd812341d2,
title = "Data modeling and case-based reasoning for social monitoring",
abstract = "Social Media is experiencing an ongoing significant growth worldwide. It has changed the way society and economy work. Social Media channels continuously gain importance for companies and brands in interacting with their target groups. The enormous increase of Social Media use develops its own dynamics. A short post can turn into a critical damage to organizations and assets. Thus, powerful monitoring tools and optimized processing data models are absolutely necessary. In this paper, we offer a new dynamic model of a 3-step data processing sequence: data capture, data modeling and data computing. We are using case-based reasoning for known situations and self-learning capacity for new situations. This toolbox shows interesting results in terms of data processing costs and green computing.",
keywords = "Big Data, Case-based Reasoning, Data Modeling, Data Processing, Social Monitoring",
author = "Hadi Hashem and Daniel Ranc",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016 ; Conference date: 22-08-2016 Through 24-08-2016",
year = "2016",
month = oct,
day = "14",
doi = "10.1109/W-FiCloud.2016.49",
language = "English",
series = "Proceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "194--199",
editor = "\{El Haddad\}, Joyce and Muhammad Younas and Irfan Awan",
booktitle = "Proceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016",
}