In recent years, researchers have provided significant solutions to detect malicious web
pages, still there are many open issues. This paper proposes a methodology for the effective …

随着微博机器人账户的不断增多, 对其识别检测已成为当前数据挖掘领域的热点问题.
已有的微博机器人识别研究多使用爬取搜集的相关数据, 在小规模平衡分布的机器人与普通用户 …

With the growing demand for data analysis, machine learning technology has been widely
used in many applications, such as mass data summarising rules, predicting behaviours and …

Nowadays, people use social networks extensively to share their opinions about events and
entities in personal life, politics and business. Twitter sentiment analysis aims at automatic …

This paper addresses the problem of modelling uncertainty in the distributed context. It is
situated in the field of diagnosis; more precisely, model-based diagnosis of distributed …

In the era of big data, the fusion of uncertain information from different data sources is a
crucial issue in various applications. In this paper, a sign fusion method of multiple …

In this paper, the local connectedness of the soft rough topological space is discussed
based on the soft connected rough topological space. Continuous mapping is defined over …

As the explosive growth of micro-blog users, which resulting in a large number of spammers.
Not only for the calculation of user influences and social network relationship analysis has …