多用途协同商业数据的探索与挖掘

J. T. Trinidad
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引用次数: 0

摘要

在菲律宾,合作社通过着手开发专门针对合作社及其业务的信息通信技术解决方案,转变为发展部门的技术驱动行为体。如果在合作社管理的关键决策背后没有数据挖掘,这些合作社的命运可能会被比作濒临破产的银行。因此,本研究引入协同基础业务数据挖掘,以发现有助于决策的模式和趋势。所有相当于市的地区都有多用途合作社的成员。有一种同样有效的收集措施是股权互助制度(MAS)的合作管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration and Mining of Multipurpose Cooperative Business Data
In the Philippines, cooperative transition to becoming technology-driven actors in the development sector by initiating the development of ICT solutions specifically catered to cooperatives and their operations. Without data mining behind crucial decision making in a cooperative management, the fate of these cooperatives may be likened to banks on the verge of bankruptcy. Therefore, cooperative basic business data mining to discover patterns and trends helpful in decision making is being introduced in this study. All districts than can be equated to municipalities are well represented by members of the multipurpose cooperative. There is an equally efficient collection measures of the cooperative management on equity and Mutual Aid System (MAS).
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