Method and system for identifying house properties through big data

A big data, housing technology, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., can solve the problems of difficult to timely and controllable rental housing registration and changes

Pending Publication Date: 2020-04-10
HANGZHOU DT DREAM TECH
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the development of the economy and the acceleration of urbanization, the floating population of the city is increasing day by day, which also makes the housing rental market expand rapidly. However, there is no technical solution to use big data to predict the housing rental situation, and most of them are managed through access control. It makes the registration and change of rental housing difficult to be timely and controllable

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for identifying house properties through big data
  • Method and system for identifying house properties through big data
  • Method and system for identifying house properties through big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] Embodiments of the present invention provide a method and system for identifying properties of houses based on big data, so as to predict the rental situation of houses based on big data analysis.

[0039] See Figure 1a , the above-mentioned system for identifying properties of houses with big data exemplarily includes: a preprocessing unit 1 , an analysis unit 2 and an identification unit 3 .

[0040] See Figure 1b The method for identifying the nature of a house with big data performed by the system for identifying the nature of a house with big data exemplarily includes the following steps:

[0041] S11: Obtain the trajectory data of the registered population;

[0042] The household registration population refers to people who have registered their permanent residence registration with the public security household registration management agency, and are generally identified by a unique ID such as an ID card.

[0043] In one example, the unique ID of the register...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The embodiment of the invention provides a method and system for identifying house properties through big data, and aims to predict the rental condition of a house based on big data analysis. The method comprises the following steps: acquiring trajectory data of household registration population; according to the trajectory data, at least one staying trajectory set is obtained, and the staying trajectory set represents a trajectory with staying exceeding a time threshold value; obtaining semantic information and spatial data of each staying track set; acquiring spatial data and semantic information of a house property corresponding to the household registration population; obtaining a staying track set with semantic information matched with the semantic information according to the semantic information of the real estate, judging whether the distance between the spatial data of the real estate and the spatial data of the staying track set is greater than a non-associated threshold value or not, and adding an identifier to the real estate if the distance is greater than the non-associated threshold value so as to predict the rental condition of the real estate. After the rental houses are predicted, the predicted rental houses can be verified, managed and controlled in a targeted mode, and registration and change of the rental houses are completed.

Description

technical field [0001] The invention relates to the field of data analysis and mining, in particular to a method and system for identifying properties of houses with big data. Background technique [0002] With the development of the economy and the acceleration of urbanization, the floating population of the city is increasing day by day, which also makes the housing rental market expand rapidly. However, there is no technical solution to use big data to predict the housing rental situation, and most of them are managed through access control. It makes the registration and modification of rental housing difficult to be timely and controllable. Contents of the invention [0003] In view of this, the embodiments of the present invention provide a method and system for identifying properties of houses based on big data, so as to predict the rental situation of houses based on big data analysis. [0004] In order to achieve the above purpose, embodiments of the present inven...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06Q30/06G06Q50/16
CPCG06F16/2465G06Q30/0645G06Q50/16
Inventor 周菲菲谢素丹
Owner HANGZHOU DT DREAM TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap