Fuzzy clustering system based on user behavior data
A technology of fuzzy clustering and data collection module, applied in database model, relational database, market data collection, etc., to achieve the effect of flexible expansion of equipment capacity and improvement of equipment performance
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0045] A fuzzy clustering system based on user behavior data, such as figure 1 and figure 2As shown, it includes a data acquisition module, a data analysis module and an output unit, and the data acquisition module is used to collect user behavior data during the user's running time and send it to the server. The user behavior data includes static data and dynamic data; the data analysis The module includes a data extraction unit, a data preprocessing unit, a model algorithm unit and a fuzzy clustering analysis unit, the model algorithm unit includes a k-means clustering algorithm, and the k-means clustering algorithm is a clustering analysis algorithm for iterative solutions; the output Units include customer portraits and visual interfaces.
[0046] Further, the static data includes the characteristics of the user as a natural person, such as age, gender, region, education level, etc. The acquisition of the static data is related to the source of the sample, and the dynami...
Embodiment 2
[0107] A fuzzy clustering system based on user behavior data, such as figure 1 and figure 2 As shown, it includes a data acquisition module, a data analysis module and an output unit, and the data acquisition module is used to collect user behavior data during the user's running time and send it to the server. The user behavior data includes static data and dynamic data; the data analysis The module includes a data extraction unit, a data preprocessing unit, a model algorithm unit and a fuzzy clustering analysis unit, the model algorithm unit includes a k-means clustering algorithm, and the k-means clustering algorithm is a clustering analysis algorithm for iterative solutions; the output Units include customer portraits and visual interfaces.
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com