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首页> 外文会议>International Conference on Reliability, Infocom Technologies and Optimization >Data integration based approach to find shortest path within a city for different time periods
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Data integration based approach to find shortest path within a city for different time periods

机译：基于数据集成的方法来查找城市中不同时间段的最短路径

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摘要

Traditional data mining usually deals with data from single domain, however in modern day business applications the data may come from different domain for single application. Data sets are of multiple modalities. Each of them may have a different representation, distribution, scale and density. Data Integration techniques aggregate several domains of data sets and then represent in a unified form so that they can be used for data mining. In this research work data integration is considered in terms of the data collected from multiple modes of communication within a city and these data have been integrated and organized to infer more information. Here more information refers to generation of more numbers of routes in a city by combining multiple modes of communication. Further, this research work proposes an optimization in terms of searching path which is shortest in terms of time. The proposed methodology is executed on the historical data of different instances of day as well as different day of the week so that the relevant conditions or constraints associated with the traffic are included.
机译：传统的数据挖掘通常处理来自单个域的数据，但是在现代业务应用程序中，数据可能来自单个应用程序的不同域。数据集具有多种形式。它们中的每一个可能具有不同的表示形式，分布，规模和密度。数据集成技术聚合数据集的多个域，然后以统一的形式表示，以便将其用于数据挖掘。在这项研究工作中，根据从城市内多种通信方式收集的数据来考虑数据集成，并且已经对这些数据进行了集成和组织以推断出更多信息。在这里，更多信息是指通过组合多种通信方式在城市中生成更多数量的路线。此外，这项研究工作提出了在时间上最短的搜索路径方面的优化。所建议的方法是根据一天中不同实例以及一周中不同日期的历史数据执行的，因此包括了与流量相关的相关条件或约束。

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