Earticle

초록

영어

With the development of information technology, technology mining technology can help users to find the needed information accurately and efficiently. In this paper, the author makes factors analysis of professional growth of innovative talents based on data mining technology. Knowledge innovation is the starting point of scientific and technological innovation, and the development of innovative talents is the most important and the scarcest resource for enterprises. By analyzing the professional growth of innovative talents, we construct the evaluation index system of innovative talents. The conclusion proves that the balance between supply and demand of enterprise and personal professional growth is the important factor to promote organizational technology progress and the career development of employees.

목차

Abstract
 1. Introduction
 2. Data Mining Theory
  2.1. Collaborative Filtering Algorithm
  2.2. Structural Risk Minimization
 3. R&D Professionals Based On the Evolution of Independent Innovation
  3.1. Learning Requirements Phase
  3.2. Stage of Development Demand
  3.3. Technological Innovation Stage
 4. Empirical Analysis
  4.1. Evaluation Principle
  4.2. The Evaluation Index
  4.3. Principal Component Factor Analysis
 5. Conclusions
 References

키워드

저자

• Qian Cheng [ School of Business Administration, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China, Zhejiang Financial College, Hangzhou 310018, Zhejiang, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605