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Multi-view Robotic Time Series Data Clustering and Analysis Using Data Mining Techniques

机译:使用数据挖掘技术进行多视图机器人时间序列数据聚类和分析

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In present world robots are used in various spheres of life. In all these areas, knowledge of the environment is required to perform appropriate actions. The information about the environment is collected with the help of onboard sensors and image capturing device mounted on the mobile robot. As the information collected is of huge volume, data mining offers the possibility of discovering the hidden knowledge from this large amount of data. Clustering is an important aspect of data mining which will be explored in detail for grouping the scenario from multiple views.
机译:在目前的世界机器人中用于各种各样的生活领域。在所有这些领域,需要对环境的知识进行适当的行动。在安装在移动机器人上的板载传感器和图像捕获设备的帮助下收集有关环境的信息。由于收集的信息占巨大,数据挖掘提供了从大量数据中发现隐藏知识的可能性。群集是数据挖掘的一个重要方面,将详细探讨,以便将场景与多视图进行分组。

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