Recently, Social Networking is a significant function in human life. It is a foremost communication medium in the middle of persons and associations. Generally, Online Social Media Sites (OSMS) is used with the intention of developing and categorizing illegal behavior in social networking. Therefore, we decided to identify the malicious consumer nodes by the help of ANN through evaluating the response of the chat discussion/remark situation. At last, the ‘Protégé’ tool is used to illustrate the exchange of messages from the distrustful node for upcoming large-scale indication. The anticipated method is executed in the functioning platform of JAVA among Big Data Analytics with Hadoop.

中文翻译：

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基于网络挖掘的人工智能技术检测恶意用户节点

最近，社交网络是人类生活中的一项重要功能。它是个人和协会之间最重要的沟通媒介。通常，使用在线社交媒体网站 (OSMS) 的目的是对社交网络中的非法行为进行开发和分类。因此，我们决定通过评估聊天讨论/评论情况的响应，在 ANN 的帮助下识别恶意消费者节点。最后，“Protégé”工具用于说明来自不信任节点的消息交换，用于即将到来的大规模指示。预期的方法是在带有Hadoop的大数据分析中的JAVA功能平台中执行的。