17 citations · 69 across the 23 of their papers we have counts for
7 papers · 1 filter
Analytics of Business Time Series Using Machine Learning and Bayesian Inference
Bohdan M. Pavlyshenko
In the survey we consider the case studies on sales time series forecasting, the deep learning approach for forecasting non-stationary time series using time trend correction, dyna…
Forecasting of Non-Stationary Sales Time Series Using Deep Learning
Bohdan M. Pavlyshenko
The paper describes the deep learning approach for forecasting non-stationary time series with using time trend correction in a neural network model. Along with the layers for pred…
Methods of Informational Trends Analytics and Fake News Detection on Twitter
Bohdan M. Pavlyshenko
In the paper, different approaches for the analysis of news trends on Twitter has been considered. For the analysis and case study, informational trends on Twitter caused by Russia…
Bitcoin Price Predictive Modeling Using Expert Correction
Bohdan M. Pavlyshenko
The paper studies the linear model for Bitcoin price which includes regression features based on Bitcoin currency statistics, mining processes, Google search trends, Wikipedia page…
Sales Time Series Analytics Using Deep Q-Learning
Bohdan M. Pavlyshenko
The article describes the use of deep Q-learning models in the problems of sales time series analytics. In contrast to supervised machine learning which is a kind of passive learni…
Forming Predictive Features of Tweets for Decision-Making Support
Bohdan M. Pavlyshenko
The article describes the approaches for forming different predictive features of tweet data sets and using them in the predictive analysis for decision-making support. The graph t…