資料探勘與商業智慧

With the rapid development of artificial intelligence and big data analytics techniques, several innovative applications and novel business model are proposed to improve the daily operations of enterprises and business strategies. This course includes two major parts: (1) Data Mining: The courses in the first half semester introduces the theory and practices of data mining techniques. Data mining is an interdisciplinary research field which involves machine learning, statistics, and database management. It focuses on the pattern extraction and knowledge discovery from large data sets. (2) Business Intelligence: The remaining courses will let the students understand the emerging issues about business intelligence(BI). BI comprises the strategies and technologies used by enterprises for the data analysis of business information. Several important tools, including data visualization, report automation, data-driven decision making, will be discussed with the lectures, case study, and oral presentation.

Fundamental programming skills

無備註

教師未提供此項資料

Midterm exam 40% Class participation 10% Homeworks and Final project 50%

• Business Intelligence

  1.Case study 2.Business plan discussion

  講授：

  6

  實作：

  12

  其他：

  9

• Data mining

  1.Data mining theory 2.Practical applications

  講授：

  18

  示範：

  6

  實作：

  3

Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, and Vipin Kumar, “Introduction to Data Mining”, 2nd edition, Pearson Press, 2018.

地點

Room 418, Management Building I

時間

by appointment

聯絡方式

szuhaohuang@nycu.edu.tw