With the continuous improvement of living standards, customers are ever more looking for
products which are characterized by individualization, entertainment and scene. The …

Nowadays, the data scarcity problem has been supplanted by the data deluge problem.
Marketers and Customer Relationship Management (CRM) specialists have access to rich …

This paper presents a framework for detection and classification of cyber threat indicators in
the Twitter stream. Contrary to the bulk of similar proposals that rely on manually-designed …

We address the problem of predicting whether sufficient memory and CPU resources have
been requested for jobs at submission time. For this purpose, we examine the task of …

Today during 'Covid-20', people are more inclined towards online shopping. In general
practice, analysis of browsing history and customer's micro behaviour against online …

We address the problem of predicting whether sufficient memory and CPU resources have
been requested for jobs at submission time. For this purpose, we examine the task of …

摘要针对通信内容未知且无关通联占比高情况下信息传播模式的挖掘问题,
提出了一个生成模型, 对通联行为发生的时间建模, 预测网络中用户通信内容的相关性 …

Link prediction is a critical challenge to analyse social networks with applications in areas
such as information retrieval, bioinformatics, e-commerce etc. To overcome the challenges …

Information diffusion and virus propagation are fundamental processes, which achieve great
attention in networks. While information spreads across the network, but the relations …