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A Mining Method Oriented to Abnormal Data of Basic Geographic Information

A technology of basic geographic information and abnormal data, which is applied in the field of statistical analysis of geographic information systems, can solve problems such as difficult implementation, inconsistent reality, and unscientific separation, and achieve the effect of wasting manpower and material resources and reducing work efficiency

Inactive Publication Date: 2017-07-07
TONGJI UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are a lot of abnormal data in the basic geographic database. Due to different data sources or errors in data measurement and collection, there will be abnormal data, which will cause the data to be inconsistent with the actual situation.
It is unscientific and difficult to rely on manual separation of abnormal data in massive data

Method used

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  • A Mining Method Oriented to Abnormal Data of Basic Geographic Information
  • A Mining Method Oriented to Abnormal Data of Basic Geographic Information
  • A Mining Method Oriented to Abnormal Data of Basic Geographic Information

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Embodiment Construction

[0024] The present invention will be further described below in conjunction with the embodiments shown in the accompanying drawings.

[0025] see figure 1 , the method of the present invention comprises the following steps:

[0026] (a) read basic geographic information;

[0027] (b) judge whether it is a road according to the house number attribute of geographic data, if so, go to step (c); otherwise, go to step (d);

[0028] (c) Road abnormal data includes distance abnormal data and density abnormal data. First, fit a curve to all points on the road, calculate the distance from the points on the road to the fitted curve, and determine the threshold; judge whether the obtained distance is greater than the threshold, if so, then get the preliminary result of the distance from the abnormal point, and turn to step (e); otherwise, judge it as a normal point;

[0029] Then continue to count the road data, count the distance between two adjacent points, and determine the thresho...

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Abstract

The invention discloses a mining method for abnormal data of basic geographic information. According to attributes of house numbers of the basic geographic information, the abnormal data are respectively mined according to road data and non-road data, wherein the road data comprise abnormal distance data and abnormal density data, and the non-road abnormal data are mainly the abnormal distance data. The abnormal road distance data are judged according to the distance from road points to a fitted curve, and the characteristic of the abnormal density data is that the data of the same attributes do not exist within a certain range of the abnormal density data; according to the non-road abnormal data, the center of gravity is taken as the reference to calculate the distance from each point to the center of the gravity so that whether the non-road abnormal data are the abnormal data can be judged. The method has the function of mining the abnormal data from the mass data efficiently and automatically.

Description

technical field [0001] The invention belongs to the application field of statistical analysis of geographic information systems, and relates to a mining method for abnormal data of basic geographic information, in particular to a mining method for massive basic geographic data with house number attributes. Background technique [0002] With the rapid development of economic society and geographic information technology, a large amount of basic data has increased rapidly, and mining useful information and abnormal data from massive data has become a top priority. Data mining can be regarded as a process of exploring the relationship between data in massive data, using various analysis tools to build data analysis models, and discovering the knowledge hidden in the data. Analyze massive basic geographic data, study abnormal data mining methods, automatically separate abnormal objects from other objects, and provide abnormal data to relevant departments to check whether the geo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/29
Inventor 乔刚米环毛炜青吴张峰叶文凯陆赛赛邓讯王伟王聪李海
Owner TONGJI UNIV
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