TipDM data mining modeling platform is independently developed by Teddy, a tool for big data mining projects. The platform is developed using JAVA language and adopts B/S structure. Users do not need to download the client, and can access it through a browser. The platform provides big data analysis functions based on Python, R and Hadoop/Spark distributed engines. The platform supports workflow, and users can operate by dragging and dropping without the foundation of programming languages such as Scala and Python, and process data input and output, statistical analysis, data preprocessing, analysis and modeling, etc. Links are connected to achieve the purpose of big data analysis.
The product is mainly composed of a home page module, a data source module, an algorithm component module, an engineering module, a personal component module, a model module, a task module, and an interface expansion module.
The product functions and features of TipDM data mining modeling platform include:
TipDM data mining modeling platform is mainly composed of 8 modules: home page, data source, project, algorithm component, model management, planned task, interface expansion, and user management system.
Big data mining platform solution for smart letters and visits:
smart letters and visits have two main features, namely "deep mining" and "situational awareness": "deep mining" refers to the use of text mining and advanced NLP natural language algorithm to analyze the content of letters, understand Mass appeals, grasp the dynamics of letters and visits, analyze the causes of problems, discover the law of letters and visits, strengthen risk warnings, and support auxiliary decision-making. "Situational awareness" can carry out correlation analysis on events, make accurate predictions, and automatically and in real time push accurate laws and similar cases as work references by capturing key words of complaints and visits based on the archives of the knowledge base and case base. Smart letters and visits are a positive response to the call of the Fourth Plenary Session of the 19th Central Committee: focus on building a new pattern of grassroots social governance and continuously improve the level of grassroots social governance.
Smart letters and visits are built with independent and controllable technology, 1+N overall framework, in-depth mining analysis, and situational awareness and forecasting as the construction goals. In terms of platform design, smart letters and visits have refined the construction plan of one network, two modernizations, three objects, and four databases. One network is a big data analysis platform for smart petitions; two is standardization and controllability; three objects are petitioners, petition events, and territories; four databases are original databases, knowledge bases, deep mining databases, and situational awareness databases.
Teddy Intelligent Technology Smart Petition Case:
Teddy Intelligent Technology has successfully implemented the smart petition project in the Beijing Petition Office, Shenzhen Futian District Petition Bureau, and Shaanxi Xixian New District Petition Bureau, and has been highly recognized by customers.
1. The research team, mainly based on the Beijing Complaint Conflict Analysis Research Center and supplemented by the company's professional analysts, is committed to making smart petition a leading big data application in the national petition industry; 2. The implementation experience in Beijing and many places can
be Quickly carry out personalized customization for petition units to provide a strong guarantee for the project to be implemented as soon as possible;
3. The localized service team can customize and write big data project analysis reports;
4. The company attaches great importance to it and has established a business with smart petition as its main business Department, and strive to make due contributions in the big data analysis of the letters and visits industry.
The smart petition big data platform can refine and discover important petition information in all directions. Discover hidden petition information and rules from petition big data, provide leaders with first-hand information related to Beijing’s urban economy, energy, environment, health, urban construction, and social management, and serve leadership decision-making. Accurately feel the emotional changes of the petitioners. Sentiment analysis of petition texts allows leaders at all levels to directly understand the social conditions and public opinions reflected through petition channels, facilitates leaders to hear the most authentic "voice" at the grassroots level, and provides leaders with effective strategies to stabilize the emotions of petitioners.