data mining

Fuzzy Model for Recommender Systems

The paper analyzes the current state of development and application of recommendation systems, models and methods of construction of recommendation systems. It is shown that the most widely used method came into collaborative filtering. The method of fuzzy clustering is developed, which improves the accuracy of predicting ratings of products.

Застосування засобів інтелектуального аналізу даних для прогнозування використання земельних ресурсів

This article describes the procedures of data mining based on prediction of time series for land cadastre data. Principles, required for the development of the method of forecasting using time series are examined. Mathematical model for serious prediction is developed. The task of prediction of land resources used in Striy District Lviv Region is technically realized.

Застосування кластерного аналізу для опрацювання даних земельного кадастру

Procedures of data mining based on prediction of time series for land cadastre data are described in this article. Principles required for the development of the method of forecasting using time serious are examined. Mathematical model is developed. The task of predicting land resources use in Striyskyi Park in Lviv is technically realized.