◼ Outlier and Outlier Analysis ◼ Outlier Detection Methods ◼ Statistical Approaches ◼ Proximity-Base Approaches ◼ Clustering-Base Approaches ◼ Classification Approaches ◼ Summary

◼ Cluster Analysis: Basic Concepts ◼ Partitioning Methods ◼ Hierarchical Methods ◼ Density-Based Methods ◼ Grid-Based Methods ◼ Evaluation of Clustering ◼ Summary

查询概述 基本查询 嵌套查询 连接查询

◼ Classification: Basic Concepts ◼ Decision Tree Induction ◼ Bayes Classification Methods ◼ Rule-Based Classification ◼ Model Evaluation and Selection ◼ Summary

◼ Basic Concepts ◼ Frequent Itemset Mining Methods ◼ Which Patterns Are Interesting?—Pattern Evaluation Methods ◼ Summary

◼ Data Preprocessing: An Overview ◼ Data Quality ◼ Major Tasks in Data Preprocessing ◼ Data Cleaning ◼ Data Integration ◼ Data Reduction ◼ Data Transformation and Data Discretization ◼ Summary

1.1 数据结构讨论的范畴 1.2 基本概念 1.3 算法和算法的度量

◼ Data Objects and Attribute Types ◼ Basic Statistical Descriptions of Data ◼ Data Visualization ◼ Measuring Data Similarity and Dissimilarity ◼ Summary

河南中医药大学：《数据库原理》课程教学资源（实验指导）实验六 数据更新

12.1 推荐系统概述 12.2 推荐算法 – 协同过滤 12.3 协同过滤实践 – 电影推荐系统