Application of Trajectory Data Clustering in CRM : A Case Study
Application of Trajectory Data Clustering in CRM : A Case Study
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发表时间：
2017
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通讯作者：
V. Tanuja;P. Govindarajulu
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文献类型：
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作者：
V. Tanuja;P. Govindarajulu
摘要数据挖掘在当今的业务场景中的作用非常重要。商业实体、科学研究、社会生活以及更多的真实的世界情况都依赖于基于挖掘知识的大量可用数据的数据处理和决策。大多数真实的时间数据是以轨迹为中心的。轨迹数据挖掘提供了一个更好的决策。轨迹数据聚类是当前轨迹数据挖掘的发展趋势。由于目前的商业图景是客户驱动的，客户关系管理（CRM）的一部分是预期和邀请。本文对弹道数据聚类进行了讨论。提出了一种新的轨迹数据聚类算法。与公共交通相关的轨迹数据被采用处理，并且结果被应用于建议关于收集数据的组织在CRM中的改进。
Summary The role of data mining in today’s business scenario is significant. Business entities, scientific research, social life, and many more real world situations rely on data processing and decision making based on mining knowledge masses of data available. Most of the real time data are trajectory centric. Trajectory data mining provide a better decision making. Trajectory data clustering in the current trend is in progress in trajectory data mining. As the present business picture is customer driven, the part of customer relationship management (CRM) is expected and invited. In this paper efforts are made to present the discussion on trajectory data clustering. A new algorithm is proposed for trajectory data clustering. Trajectory data relevant to public transportation is adopted processed, and the results are applied to suggest improvements in CRM with respect to the organization from where the data is collected.