Open AccessTopological Data Analysis of Customer Relationship
Author(s) -
Yutao Lu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/5/052001
Subject(s) - computer science , loyalty , key (lock) , process (computing) , point (geometry) , topological data analysis , series (stratigraphy) , customer relationship management , data science , control (management) , data mining , topology (electrical circuits) , business , marketing , engineering , mathematics , artificial intelligence , algorithm , computer security , geometry , database , biology , operating system , electrical engineering , paleontology
In the modern society, if manufacturers want to make huge profits, they must not only control the production cost, but also classify customers and increase the loyalty of key customers. Thus, existing data analysis methods, represented by Time Series Analysis and Topological Data Analysis (TDA), have emerged at this point of time to explore customer relationships. Based on the latest research of time series analysis and TDA, application of analysis is explored in practice. The relationship between topology and datasets will be given by displaying the process of TDA. In the end, there will be a discussion about the efficiency of different approaches, the improvement of tools in this paper and their extended application. This work is intended to provide a brief introduction of TDA and other methods to help readers understand concepts easily and provide suggestions for future studies.