The aim of this paper is to present a distributed algorithm for big data classification, and its application for Magnetic Resonance Images (MRI) segmentation. We choose the well-known classification method which is th...The aim of this paper is to present a distributed algorithm for big data classification, and its application for Magnetic Resonance Images (MRI) segmentation. We choose the well-known classification method which is the c-means method. The proposed method is introduced in order to perform a cognitive program which is assigned to be implemented on a parallel and distributed machine based on mobile agents. The main idea of the proposed algorithm is to execute the c-means classification procedure by the Mobile Classification Agents (Team Workers) on different nodes on their data at the same time and provide the results to their Mobile Host Agent (Team Leader) which computes the global results and orchestrates the classification until the convergence condition is achieved and the output segmented images will be provided from the Mobile Classification Agents. The data in our case are the big data MRI image of size (m × n) which is splitted into (m × n) elementary images one per mobile classification agent to perform the classification procedure. The experimental results show that the use of the distributed architecture improves significantly the big data segmentation efficiency.展开更多
In the era of big data,the ways people work,live and think have changed dramatically,and the social governance system is also being restructured.Achieving intelligent social governance has now become a national strate...In the era of big data,the ways people work,live and think have changed dramatically,and the social governance system is also being restructured.Achieving intelligent social governance has now become a national strategy.The application of big data technology to counterterrorism efforts has become a powerful weapon for all countries.However,due to the uncertainty,difficulty of interpretation and potential risk of discrimination in big data technology and algorithm models,basic human rights,freedom and even ethics are likely to be impacted and challenged.As a result,there is an urgent need to prioritize basic human rights and regulate the application of big data for counter terrorism purposes.The legislation and law enforcement regarding the use of big data to counter terrorism must be subject to constitutional and other legal reviews,so as to strike a balance between safeguarding national security and protecting basic human rights.展开更多
随着信息化进程的加快,管理信息系统(Management Information System,MIS)已成为企事业单位资源管理与决策支持的重要工具。用户在系统中的操作行为不断积累,形成了丰富的数据资源。如何通过对用户行为数据的分析,挖掘潜在规律,并据此...随着信息化进程的加快,管理信息系统(Management Information System,MIS)已成为企事业单位资源管理与决策支持的重要工具。用户在系统中的操作行为不断积累,形成了丰富的数据资源。如何通过对用户行为数据的分析,挖掘潜在规律,并据此实现个性化、精准化服务,成为提升系统效能和用户体验的关键问题。文章基于大数据分析与机器学习方法,对管理信息系统中用户行为数据的采集、清洗、建模与分析进行研究,提出了一套面向精准服务的策略框架。研究结果表明,用户行为数据能精准映射其需求与偏好,结合聚类分析、关联规则挖掘与推荐算法,可实现精准的内容推送与服务优化。该研究为管理信息系统的智能化发展提供了理论参考与实践路径。展开更多
文摘The aim of this paper is to present a distributed algorithm for big data classification, and its application for Magnetic Resonance Images (MRI) segmentation. We choose the well-known classification method which is the c-means method. The proposed method is introduced in order to perform a cognitive program which is assigned to be implemented on a parallel and distributed machine based on mobile agents. The main idea of the proposed algorithm is to execute the c-means classification procedure by the Mobile Classification Agents (Team Workers) on different nodes on their data at the same time and provide the results to their Mobile Host Agent (Team Leader) which computes the global results and orchestrates the classification until the convergence condition is achieved and the output segmented images will be provided from the Mobile Classification Agents. The data in our case are the big data MRI image of size (m × n) which is splitted into (m × n) elementary images one per mobile classification agent to perform the classification procedure. The experimental results show that the use of the distributed architecture improves significantly the big data segmentation efficiency.
文摘In the era of big data,the ways people work,live and think have changed dramatically,and the social governance system is also being restructured.Achieving intelligent social governance has now become a national strategy.The application of big data technology to counterterrorism efforts has become a powerful weapon for all countries.However,due to the uncertainty,difficulty of interpretation and potential risk of discrimination in big data technology and algorithm models,basic human rights,freedom and even ethics are likely to be impacted and challenged.As a result,there is an urgent need to prioritize basic human rights and regulate the application of big data for counter terrorism purposes.The legislation and law enforcement regarding the use of big data to counter terrorism must be subject to constitutional and other legal reviews,so as to strike a balance between safeguarding national security and protecting basic human rights.
文摘随着信息化进程的加快,管理信息系统(Management Information System,MIS)已成为企事业单位资源管理与决策支持的重要工具。用户在系统中的操作行为不断积累,形成了丰富的数据资源。如何通过对用户行为数据的分析,挖掘潜在规律,并据此实现个性化、精准化服务,成为提升系统效能和用户体验的关键问题。文章基于大数据分析与机器学习方法,对管理信息系统中用户行为数据的采集、清洗、建模与分析进行研究,提出了一套面向精准服务的策略框架。研究结果表明,用户行为数据能精准映射其需求与偏好,结合聚类分析、关联规则挖掘与推荐算法,可实现精准的内容推送与服务优化。该研究为管理信息系统的智能化发展提供了理论参考与实践路径。
