Automatic recognition of bedridden patients' physical activity has important applications in
the clinical process. Such recognition tasks are usually accomplished on visual data …

Bank deposit is one of the vital issues for any financial institution. It is very challenging to
predict a customer if he/she can be a depositor by analyzing related information. Some …

Predicting the popularity of web content is widely regarded as an important but challenging
task. Online news articles are typical examples of this. In particular, owing to their time …

This paper presents an approach to popularity prediction task. The approach differs from
existing works by combining enriched user and post features with statistical features and …

Usage of fuzziness in the study of semi-supervised learning is relatively new. In this study,
the divide-and-conquer strategy is used to investigate the performance of semi-supervised …

The Internet's popularization has increased the amount of content produced and consumed
on the web. To take advantage of this new market, major content producers such as Netflix …

Social media has become a tremendous source to bring in new clients. Sharing posts for
new offers/products to get extensive client engagement can be predicted by grouping the …

The popularity of news, which conveys newsworthy events which occur during day to
people, is substantially important for the spectator or audience. People interact with news …

Recently, event-based social networks (EBSNs) have been used as flexible online platforms
that create online groups and make offline events for people. The success of popular offline …

Online news popularity has become an important issue and a lot of research work is being
carried out on the same. Predicting the popularity of an article, a video or any online content …