Survey of Collaborative Data Mining

C. Anton, Oliviu Matei, Anca Avram
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引用次数: 0

Abstract

Abstract In the information industry there is a huge amount of data which can be used to obtain relevant information necessary for them to be processed, cleaned and analyzed. This survey paper presents different data extraction research that can be applied in various areas. The main point is to determine a new approach and to be the starting point for new experiments in agriculture predictions. The collaborative data mining approach assumes that correlated units or devices will have similar behavior that can be determined with an acceptable approximation.
协同数据挖掘综述
摘要在信息产业中,有大量的数据可以用来获得处理、清理和分析所需的相关信息。本文介绍了可应用于不同领域的不同数据提取研究。重点是确定一种新的方法,并作为农业预测新实验的起点。协作数据挖掘方法假设相关的单元或设备将具有可以用可接受的近似值确定的类似行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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12 weeks
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