数据挖掘技术在客户关系管理中的应用研究

客户关系管理以客户为中心,深入研究客户行为,通过客户关怀提高客户满意度,进而提高企业的竞争力。而数据挖掘技术则为客户关系管理提供了强有力的技术支持。文章阐述了数据挖掘技术在客户关系管理中应用的研究背景和意义,并介绍了客户关系管理思想、数据挖掘的过程和方法、以及数据挖掘技术在客户关系管理中的应用。     

数据存储系统安全浅析

随着信息化的快速发展,企业数据量日益增加,信息就是财富,面对各种漏洞攻击和病毒破坏,为了确保企业财富的安全可靠,保障数据的可用性、可靠性,确保企业业务的持续性,必须规划可靠的安全方案和防护措施来满足用户的需要。     

高职院校数字迎新工作数据流程设计

高职院校由于办学历史不长,不仅录取通过普通高考招收的普招生,同时也要考虑拟招收自考成教类学生,有些学校还保留中专类学生,新生数据复杂。同时,迎新工作集中在几天进行,迎新现场工作压力大。通过数字化方式实施新生报到的迎新工作,不仅能解决迎新中的各种复杂问题,也能为后续的应用系统提供有效数据。本文拟通过整理迎新工作数据流程,实现高职数字化迎新,缓解迎新工作压力。     

地质制图中CASS到MapGIS数据无缝自动转换的实现

长期以来,国内流行的数字测图软件南方CASS与地质部门使用的MapGIS数据软件交换存在很大的障碍,这给地质、国土等很多部门用户的工作带来诸多不便。本文从实际应用的角度出发,深入探讨了两者的数据格式特点,编写了读取转换数据代码,将CASS图中实体类型读出为点、线、面、文字、块,然后分别转换为MapGIS中的点、线、面、文字、子图,实现了两种数据的无缝自动转换,最大限度地减少了转换过程中的数据丢失。最后,在内蒙古包头哈不沁铁矿地形图的转换实践中得以检验。     

浅析南昌与上海航班信息一体化系统数据同步实现

空管信息的收集、交换、发布是空中交通服务的重要组成部分;空管信息是决策者重要的决策信息来源。为了实现空管信息的共享和有效利用,提高空管决策的科学性,必须加快华东航班信息一体化管理系统建设。本文针对目前华东地区在建的航班信息一体化管理系统建设,就如何实现南昌与上海航班信息一体化系统数据同步进行探讨。     

大学生体质健康测试数据整合系统的开发与研究

对大学生体质健康测试数据整合中的单项成绩快速汇总和汉字信息代码化两个问题进行分析,提出运用计算机编程技术实现问题的解决。通过Visual Basic编程,开发出大学生体质健康测试数据整合系统。实验表明,系统操作简单、安全、快捷,体现了智能化和人性化特点。数据整合效率分别是人工整合和Excel辅助整合的720倍与420倍。该系统的开发和运用,对顺利完成大学生体质健康测试工作具有较强的实用意义,对类似数据处理工作具有一定的应用价值。     

An empirical investigation of factors influencing the adoption of data mining tools

Previous studies explored the adoption of various information technologies. However, there is little empirical research on factors influencing the adoption of data mining tools (DMTs), particularly at an individual level. This study investigates how users perceive and adopt DMTs to broaden practical knowledge for the business intelligence community. First, this study develops a theoretical model based on the Technology Acceptance Model 3, and then examines its perceived usefulness, perceived ease of use, and its ability to explain users’ intentions to use DMTs. The model's determinants include 4 categories: the task-oriented dimension (job relevance, output quality, result demonstrability, response time, and format), control beliefs (computer self-efficacy and perceptions of external control), emotion (computer anxiety), and intrinsic motivation (computer playfulness). This study also surveys the moderating effect of experience and output quality on the determinants of DMT adoption and use. An empirical study involving 206 DMT users was conducted to evaluate the model using structural equation modeling. Results demonstrate that the proposed model explains 58% of the variance. The findings of this study have interesting implications with respect to DMT adoption, both for researchers and practitioners.     

An approach to web-based Personal Health Records filtering using fuzzy prototypes and data quality criteria

Nowadays, new ways of managing and accessing to health-care information are continuously appearing. Web-based Personal Health Records (web PHRs) have the potential to make data about health-care available to clinicians, researchers and students in different medical contexts and applications. Therefore, the amount of web PHRs accessible through Internet has grown enormously and as a result health-care professionals are currently burdened with more and more data. It’s probable that these data, unfortunately, have not always the adequate levels of quality, making that their work cannot always be as successful as expected. As a way of alleviating this fact, the present work is focused on improving the document filtering results in the context of web PHRs management. To achieve this goal, a new kind of document filtering model is proposed. This model is based on fuzzy prototypes which are defined by means of conceptual prototypes. These prototypes are obtained by using a data quality analysis of documents. This analysis guarantees that filtered information will be relevant enough for the information user. The complete model provides an efficient strategy of document filtering that can be very useful when it is necessary to deal with a constant flow of new information.     

大数据研究：未来科技及经济社会发展的重大战略领域——大数据的研究现状与科学思考

近来,大数据引起了产业界、科技界和政府部门的高度关注。本文简要阐述了大数据的研究现状与重大意义,探讨了大数据的科学问题,介绍了大数据应用与研究所面临的问题与挑战。最后,对大数据发展战略提出了几点建议。     

基于最优三角剖分的矿区GIS索引裁剪算法

矿区GIS中尺度较大的地物即"大型结点",如果不加处理地插入到CP树中,结点之间的重叠区域大大增加,导致查询效率降低。为此提出一种基于凸多边形最优三角剖分矿区GIS-CP索引树"大型结点"裁剪算法,算法保证裁剪后结点具有较好的几何形态以减少插入产生的重叠。实验分析表明,对"大型结点"通过裁剪预处理再插入要比不进行裁剪预处理,检索效率高很多。