《数据挖掘导论》课程介绍
大数据时代的来临使得数据挖掘备受关注，数据挖掘是数据库研究、开发和应用最活跃的分支之一，是一个结合统计学、机器学习、神经网络、模式识别、知识库系统、信息检索、高性能计算和可视化等多学科的交叉领域。
《数据挖掘导论》课程是计算机科学与技术专业的专业选修课，它是为培养数据挖掘研究与应用人才而设置的，是一门理论和实践相结合的课程。
通过本课程的学习，学生将做到：
1．认识数据挖掘在当今计算机应用中的重要作用。
2．初步了解数据挖掘的基本原理和整体结构。
3．掌握数据预处理技术（包括数据清理、数据集成和转换、数据归约等方法）和数据挖掘技术（包括分类、预测、关联和聚类的概念与技术）。
通过本课程的学习，使学生初步掌握数据挖掘的基本原理和技术，把握发展方向，为今后从事数据挖掘相关工作打下坚实基础。
Introduction to the course“Introduction of Data Mining”
The coming of Big Data era makes data mining attract more attention. Data Mining is one of the most active branches in the fields of Database research, development and application. Data Mining is an interdisciplinary of Statistics, Machine Learning, Pattern Recognition, Knowledge Base System, Information Retrieval, High Performance Computing and Visualization.
The course “Introduction of Data Mining” is an important optional course for the major of computer science and technology. It aims at cultivating the excellent persons of data mining research and application and is a course combined the theory with the practice.
By learning this course, the students could achieve the following abilities.
1. Understand the important effect that Data Mining has on the current computer applications.
2. Preliminary learn the basic principles and whole structure of Data Mining.
3. Master the data preprocessing techniques (include data cleaning, data aggregation and transformation, data reduction) and data mining techniques (include Classification, Prediction, Association and Clustering).
After learning this course, the students should preliminary master the basic principles and techniques of Data Mining, know the direction of research and applications so that laying the solid foundation of doing the future jobs related to the data mining.
