@article{MAKHILLJMMS20104328150,
    title = {Technology Forecasting Using Frequency Time Series Model: Bio-Technology Patent Analysis},
    journal = {Journal of Modern Mathematics and Statistics},
    volume = {4},
    number = {3},
    pages = {101-104},
    year = {2010},
    issn = {1994-5388},
    doi = {jmmstat.2010.101.104},
    url = {https://makhillpublications.co/view-article.php?issn=1994-5388&doi=jmmstat.2010.101.104},
    author = {Sunghae and},
    keywords = {Technology forecasting,frequency time series,patent analysis,poisson regression,linear regression,USA},
    abstract = {Most of technology forecasting has been depended on the knowledge and experience of experts. It has caused many problems like inaccuracy as well as waste of time and cost. So, we need more objective and accuracy methods for technology forecasting. Recently, many researches of technology forecasting have been published. They were analyzed methods of patent data. In this study, the researchers propose a technology forecasting model using frequent time series analysis in bio-technology domain. The experimental data are patents of bio-technology. The researchers verify improved performance of frequent time series model in the experimental results.}
    }