Open Access
Analysis of the Demand for Bicycle Use in a Smart City Based on Machine Learning.
Diana Koshtura,Myroslava Bublyk,Yurii Matseliukh,Dmytro Dosyn,Liliya Chyrun,Olga Lozynska,Ihor Karpov,Ivan Peleshchak,Mariya Maslak,Oleg Sachenko +9 more
- pp 172-183
TLDR
The need to study the demand for bicycle sharing based on regression models of data analysis and prediction of results was investigated and UML diagrams were created to substantiate possibility of work of the main processes of the information systems.Abstract:
The need to study the demand for bicycle sharing based on regression models of data analysis and prediction of results was investigated. To substantiate possibility of work of the main processes of the information systems, UML diagrams were created. To determine the peaks in demand for bicycles in a certain period of time, it was proposed to use regression models of data analysis. The proposed decision trees were recommended for modeling new datasets in Smart Cities, especially Lviv.read more
Citations
More filters
Proceedings Article
Sustainable Development by a Statistical Analysis of Country Rankings by the Population Happiness Level
TL;DR: In this paper , a statistical analysis of world rankings for the population happiness level was conducted to find ways to stimulate sustainable development, based on data from an annual Gallup World survey called the World Happiness Report.
Proceedings Article
Cluster Analysis of Exclamations and Comments on E-Commerce Products
Oleh Veres,Yurii Matseliukh,Taras Batiuk,S. Teslia,Alyona Shakhno,Tetiana Kopach,Yeva Romanova,Inesa Pihulechko +7 more
TL;DR: In this article , a survey of consumers' opinions of women's clothing was obtained from reviews and comments during online sales, and correlation analysis of survey data was performed, correlation coefficients were calculated, a correlation matrix was constructed, and autocorrelation was established, establishing how consumers perceive the offered products and services in the clothing sales segment.
Proceedings Article
Intelligent Analysis of Best-Selling Books Statistics on Amazon
Andrii Vasyliuk,Yurii Matseliukh,Taras Batiuk,Mykhailo Luchkevych,Iryna Shakleina,Halyna Harbuzynska,Sergii Kondratiuk,Ksenia Zelenska +7 more
TL;DR: In this article , a data set of 550 elements was analyzed during the study, containing data on books: title, author, number of reviews, price, and rating, and a smoothing method was used to average local data for further forecasting, in which non-systematic elements replace each other.
Proceedings ArticleDOI
Intellectual Tourist Service with the Situation Context Processing
TL;DR: In this article, an approach of modelling and identifying the current situation is illustrated by e-tourism, which is advisable to expand and apply in other areas, and an example of an intellectual tourist service is developed.
Proceedings Article
Statistical Analysis of the Popularity of Programming Language Libraries Based on StackOverflow Queries
Ihor Rishnyak,Yurii Matseliukh,Taras Batiuk,Lyubomyr Chyrun,Oleksandra Strembitska,O. I. Mlynko,Viktoriia Liashenko,Andrii Lema +7 more
TL;DR: This paper presents a statistical analysis of existing trends in the spread of programming language libraries based on data set studies, finding Trends in the behavior of the studied indicators using the methods of smoothing time series are determined.
References
More filters
Book
C4.5: Programs for Machine Learning
TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.
Programs for Machine Learning
Steven L. Salzberg,Alberto Segre +1 more
TL;DR: In his new book, C4.5: Programs for Machine Learning, Quinlan has put together a definitive, much needed description of his complete system, including the latest developments, which will be a welcome addition to the library of many researchers and students.
Book
All of Statistics: A Concise Course in Statistical Inference
TL;DR: This book covers a much wider range of topics than a typical introductory text on mathematical statistics, and includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses.
Journal ArticleDOI
Event labeling combining ensemble detectors and background knowledge
Hadi Fanaee-T,João Gama +1 more
TL;DR: The results show that the proposed approach can be an effective alternative for labeling events when there is no access to human experts, and the various predictive models performance, semi-supervised and unsupervised approaches, train data scale, time series filtering methods, online and offline predictive models, and distance functions in measuring time series similarity.