Multi-source-data-based location model and application research thereof

A multi-source data and model technology, applied in data processing applications, business, instruments, etc., can solve problems such as strong personal subjective factors

Inactive Publication Date: 2017-03-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
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Problems solved by technology

Although this method is feasible, the personal subjective factors of experts mixed in the method are relatively strong.

Method used

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  • Multi-source-data-based location model and application research thereof
  • Multi-source-data-based location model and application research thereof
  • Multi-source-data-based location model and application research thereof

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Embodiment Construction

[0018] Due to the diversity of data sets, the information reflected from the data sets is also diverse. If a large number of measurements obtained from the data set are all used as classification features, the results obtained will be very unsatisfactory. This is because in the original data, some data do not contain classification information or only contain a very small amount of classification information, and the information contained in some data is repeated. These repeated data do not actually play a substantial role in classification. Sexuality.

[0019] After feature selection, feature vectors for training can be formed to provide support for subsequent work. A feature of the recognized object can be represented by a component of the feature vector, because the similarity of the same category and the difference between different categories are mainly reflected in the features represented by these components. Therefore, it is an important step to establish the locatio...

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Abstract

The invention provides a multi-source-data-based location model and application research thereof, which are mainly based on three data sets: a public transport IC passenger card swiping data set, a telecommunication user conversation data set and a point-of-information data set. On the basis of a multi-source data set, the invention provides a location model establishing method based on the multi-source data set. The method is characterized by extracting some characteristic indexes, which may exert an influence on site selection, from the multi-source data set; carrying out learning on the characteristic indexes through the support vector machine technology to obtain a location model; and finally, determining whether candidate locations are appropriate for site selection. A location model establishing system based on a support vector machine is designed and realized; and the method is verified to be feasible through practical cases: the method for establishing the location model based on the multi-source data set is elaborated in details; then, specifically, the location model establishing system based on the support vector machine is designed and developed, and the provided scheme is subjected to test and evaluation through one practical case; and test results show that the location model obtained through the SVM (support vector machine) is higher in accuracy.

Description

technical field [0001] The invention proposes a method for establishing a site selection model based on multi-source data sets. Combining relevant data sets, select some characteristic indicators that may have an impact on site selection, use support vector machine (Support Vector Machine) technology to learn these feature indicators, obtain a site selection model, and then use this model to determine the location of the candidate area. Which locations in the store may make commercial stores have better development prospects. Background technique [0002] With the development of smart cities and big data technologies, multi-source data has profoundly changed business behavior. Among them, the impact on the location of commercial stores is also particularly obvious. As consumers' demand for merchants has gradually increased to the demand for shopping convenience, in order to better serve the public, merchants mainly rely on the location selection technology of commercial st...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0205
Inventor 周世杰程红蓉贺雅琪
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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