earticle

논문검색

New Technology Management Using Time Series Regression and Clustering

초록

영어

Technology can be defined diversely according to the ways of its usage. In this paper, we define technology as a tool making new product and service using the developed results of science and engineering for improving the quality of human life. Technology management (TM) is important factor in the business planning of a company. Many companies have performed TM for developing new products and protecting their intellectual properties (IP). Patent is a typical IP, so we propose a TM approach using new patent analysis method. In this paper, we combine time series regression and clustering techniques. To assess the performance of our research, we will make experiment using the biotechnology patent data from the United State Patent and Trademark Office.

목차

Abstract
 1. Introduction
 2. Patent Analysis and Technological Forecasting
 3. New Technology Management Model
 4. Experimental Results
 5. Conclusions
 References

저자정보

  • Sang Sung Park Division of Information Management Engineering, Korea University
  • Sunghae Jun Department of Statistics, Cheongju University

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.