Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2018; 19th International C Hujun Yin,David Camacho,Antonio J. Tallón-Balleste C

Flagging

Iván Ruiz-Rube,Tatiana Person,José Miguel Mota,Juan Manuel Dodero,ángel Rafael González-Toro

Certainty

Seizure

AGGER

0302-9743 Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning,

Agronomy

詞匯表

RiskTrack: Assessing the Risk of Jihadi Radicalization on Twitter Using Linguistic Factorsalong with the way of calculating them and their contribution to the final risk value, will be presented in this paper. Also, some comments about the tool and the next updates will be suggested at the end of this paper.

Addictive

On Detecting Online Radicalization Using Natural Language Processingnd phase, a machine learning approach based on hybrid KNN-SVM and a variety of features, which include 1, 2 and 3-g, personality traits, emotions, as well as other linguistic and network related features were employed. The approach is validated using both Twitter and Tumblr dataset.

割公牛膨脹

Cognizance

Sarcoma

Evidence-Based Systematic Literature Reviews in the Cloudegration with other systems, The flexible data scheme of the tool enables the integration of bibliographic databases of common use in Computer Science and can be easily extended to support additional sources. It can be used as a service in a cloud environment or as on-premises software.