2 results
Search Results
Now showing 1 - 2 of 2
Item Open Access Advisory system for adapting a single machine problem to a distributed solution(SDU University, 2024) Orynbekova KamilaGeneral characteristics of the work. The work encompasses developing an advisory system to recommend solutions for single-machine problems adaptable to distributed systems, mainly focusing on implementation within the MapReduce platform. Methodologically, an experiment evaluated learning effectiveness, while extensive data collection informed model development. Predictive models, including Naive Bayes and Logistic Regression, were optimized and integrated into a recommendation system validated through rigorous evaluation. The aim of the research is to develop an advisory system that recommends single-machine problem solutions that adapt to distributed systems and are suitable for implementation on the MapReduce platform.Item Open Access Research and analysis user centered logistic website on the base of user data(Faculty of Engineering and Natural Science, 2024) Serikova M.This thesis explores how to make a logistics website that is user-friendly and can handle data from Telegram. The goal is to turn unstructured text messages into structured data for logistics companies. This will help us make better decisions and work more efficiently. I used tools like PHP, Composer, MadelineProto, and PhpSpreadsheet to organize the data. The website was designed using Figma to be simple and easy to understand. Structured data helps in planning and decision making. The study shows that better data and design can improve logistics operations. Future work will focus on adding more features and improving the system with real-time data and user feedback.