Big-data visualized analysis method and system based on airline ticket booking platform

A technology of air ticket booking and analysis method, applied in the field of data analysis, can solve problems such as simple data display scheme, single data dimension, unfavorable analysis and discovery of abnormal points of aircraft booking platform, etc., to achieve the effect of helping rapid decision-making

Inactive Publication Date: 2017-11-07
CTRIP TRAVEL NETWORK TECH SHANGHAI0
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the defects in the prior art that the data display scheme is simple and the data dimension is single, which is not conducive to the overall analysis and the discovery of abnormal points of the aircraft booking platform, and to provide a big data visualization analysis method based on the ticket booking platform and system

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  • Big-data visualized analysis method and system based on airline ticket booking platform
  • Big-data visualized analysis method and system based on airline ticket booking platform

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Embodiment Construction

[0038] The present invention is further illustrated below by means of examples, but the present invention is not limited to the scope of the examples.

[0039] Such as figure 1 As shown, a flow chart of a big data visualization analysis method of an airline ticket booking platform in this embodiment. The big data visualization analysis method includes:

[0040] Step 101, integrate the data sources of the aircraft reservation platform, and store the integrated data in a data warehouse, and then execute step 102.

[0041] Integrate the data source of the aircraft booking platform. The data source is the online backup data of the aircraft booking platform. The backup data is the order data up to the previous day.

[0042] According to the selection of index or range, users select a certain range of data from large-scale data sources and store them in the data warehouse.

[0043] The data warehouse contains user behavior data, search data, reservation data, airline data and use...

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Abstract

The invention discloses a big-data visualized analysis method and system based on an airline ticket booking platform. The method comprises the following steps of S1, integrating a data source of the airplane booking platform, and storing the integrated data to a data warehouse; S2, extracting data used for being analyzed from the data warehouse, and integrating the data into a wide table; S3, generating a dimensionality table according to the wide table; S4, conducting relevance on different dimensionalities to generate a displaying table in the wide table according to dimensionality information of the dimensionality table; S5, outputting the displaying table in a visualized graphics mode. According to the big-data visualized analysis method and system based on the airline ticket booking platform, the insufficiencies in the prior art are overcome that a data displaying scheme is simple and the data dimensionality is monotonous, which is to the disadvantages of integral analysis and finding of abnormalities of the airplane booking platform. Through the big-data visualized analysis method, massive complicated airplane booking platform data is sorted starting with different analysis topics, and is displayed in a concise, efficient and visual mode.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a big data visualization method and system based on an air ticket booking platform. Background technique [0002] Big data is a force for innovation. For example, in the field of airline ticket booking, massive amounts of data are generated all the time. How to make these large amounts of data easier to understand and analyze problems from these data has become an important aspect of this field. major issues. To solve this problem, it is the most effective way to convert massive and complex data into visual graphics. [0003] Traditional visual display tools include reports or simple charts. Data is mostly expressed through charts from a one-dimensional perspective. There is no visual expression from the fusion of features from multiple dimensions, which is not conducive to overall analysis and finding outliers. How to achieve data analysis that objectively reflects the c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/283G06F16/2282G06F16/248
Inventor 肖铨武尹胜王嘉怡徐景朱新华
Owner CTRIP TRAVEL NETWORK TECH SHANGHAI0
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