@article{MAKHILLJEAS201914217333,
    title = {Various Processes Through the Hidden Stable Dependencies},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {2},
    pages = {348-355},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.348.355},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.348.355},
    author = {Alexandr,Vladimir and},
    keywords = {Time series,signal processing,predictive analytics,big data,hidden dependencies,mathematical
description},
    abstract = {In light of increasing amount of data such challenges as the restoration of lost information fragments
and its forecasting are becoming relevant and attractive. Mathematical description of studied processes is one
of the main factors for solving such problems. Most of current methods are based on the search for a model
that can accurately repeat the geometric form of the process. However, such an approach does not provide an
understanding of how much the hidden dependencies can affect the desired result. This study is devoted to
various methods of searching and describing processes through such dependencies.}
    }