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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. Keywords-data mining; OLAP; association analysis; decision support

Application and Empirical Research of Data Mining Technology in Decision Optimization of Chinese Publishing Enterprise