Application and Empirical Research of Data Mining Technology in Decision Optimization of Chinese Publishing Enterprise
Available Online May 2014.
- https://doi.org/10.2991/scict-14.2014.40How to use a DOI?
- data mining; OLAP; association analysis; decision support
- As the age of big data is coming and the market is becoming increasingly competitive, it’s important for enterprise to discover the knowledge and rules existing in big data for decision optimization. Publishing schedule and association of publications have become two important factors which must be considered during the publishing decision making process. This paper firstly analyzes the feasibility of data mining used in Chinese publishing industry. Then, a scientific decision making process based on data mining is established. Finally, we collect a mass of book sales data to show the practical application of data mining in publishing decision support.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shuo Liu PY - 2014/05 DA - 2014/05 TI - Application and Empirical Research of Data Mining Technology in Decision Optimization of Chinese Publishing Enterprise BT - Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology PB - Atlantis Press SP - 168 EP - 171 SN - 1951-6851 UR - https://doi.org/10.2991/scict-14.2014.40 DO - https://doi.org/10.2991/scict-14.2014.40 ID - Liu2014/05 ER -