Game data intelligent analysis method

An analysis method and game data technology, applied in market data collection, marketing, etc., can solve problems such as long analysis cycle and poor timeliness
CN105956873AInactive Publication Date: 2016-09-21杭州碧游信息技术有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
杭州碧游信息技术有限公司
Publication Date
2016-09-21
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a game data intelligent analysis method. The game data intelligent analysis method comprises the following steps of: receiving, in real time, data fed back from a client and caching the data in a Redis first-in first-out queue; extracting data from the Redis first-in first-out queue; validating the extracted data; according to a preset statistical target, deduplicating the data; counting each user in the data as a vector, and carrying out difference statistical processing of all users' individual information; extracting user behavior characteristics, carrying out difference detection and calculating by using a mutual information entropy; calculating a joint entropy of two events; calculating mutual information MI; dividing a behavior difference value by the MI to obtain a new difference value; calculating to obtain an entropy HIi of the i-th behavior and an entropy of the i-1th behavior, solving a joint distribution rate of the two entropys, and solving an MIi Value to obtain a difference value Di; analyzing the difference value Di and including the analysis results into a statistical result database. The game data intelligent analysis method of the invention makes it possible to conduct fast analysis and processing of data and achieves high practicability.
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Description

technical field

[0001] The invention relates to the field of data analysis, in particular to an intelligent analysis method for game data. Background technique

[0002] Data analysis Data analysis refers to the process of analyzing a large amount of collected data with appropriate statistical analysis methods, extracting useful information and forming conclusions to study and summarize the data in detail. This process is also a supporting process of the quality management system. In practical terms, data analysis can help people to make judgments so that appropriate actions can be taken. The mathematical foundation of data analysis was established in the early 20th century, but it was not until the advent of computers that the practical operation became possible and data analysis was popularized. Data analysis is the product of the combination of mathematics and computer science.

[0003] Data analysis is widely used in computer systems. For example, in the field of game ...

Claims

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