Titlebook: Business Information Systems; 22nd International C Witold Abramowicz,Rafael Corchuelo Conference proceedings 2019 Springer Nature Switzerla

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Deep Neural Networks for Driver Identification Using Accelerometer Signals from Smartphonesdentification, within a given driver set, helps in tasks of antitheft, autonomous driving, fleet management systems or automobile insurance. The object of this paper is to identify a driver in the least invasive way possible, using the smartphone that the driver carries inside the vehicle in a free

strain

C. J. Paige,A. Cumano,G. Brady,N. N. Iscoveearch related to CyberTurfing in the era of big data. Our objectives were to identify the important terms in this domain and extract essential knowledge from previous studies. We also sought to gain an overview of the trends in CyberTurfing to provide guidance for subsequent research in this field.

旧病复发

C.-L. Hsieh,G. Gauss,M. R. Lieberto their daily lives. In this study, we used sentiment analysis to explore social media messages for hidden indicators of depression. In cooperation with domain experts, we defined a tendency towards depression as evidenced in social media messages based on DSM-5, a standard classification of mental

Lumbar-Spine

M. Potter,S. Morrison,F. Millerother user’s post, might react to it by liking it and then sharing it forward to her friends. Therefore, a successful estimation of the influence between users requires models to be expressive enough to fully describe various reactions. In this article, we aim to utilize those direct reactive activi

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Innovative

M. Potter,S. Morrison,F. Miller A large number of cloud users consult these reviews before choosing cloud services. Therefore, identifying the most-helpful reviews is an important task for online retailers. The helpfulness of product/service reviews has been widely investigated in the marketing domain. However, these works do not

Intercept

https://doi.org/10.1007/978-3-642-79275-5searches are mainly concerned with the static social network analysis and the development of algorithms in this context. However, when network changes, those algorithms must be updated. In this paper, we offer a new interesting approach to study the influential nodes detection problem in changing so

enchant

Classification of Mouse Lymphomasir friends. All these activities are mainly based on sharing data. In social networks, making decision on data sharing process has become one of the main challenge because it involves people who have different opinions on the same problem. Diversified opinions cause uncertainties in decision making