◼ 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

◼ 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

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

一、填空(25分) 1、两段锁协议规定:(1)(),(2)()

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

▪ 7.1 数据库设计概述 ▪ 7.2 需求分析 ▪ 7.3 概念结构设计 ▪ 7.4 逻辑结构设计 ▪ 7.5 数据库物理设计 ▪ 7.6 数据库实施 ▪ 7.7 数据库运行与维护 ▪ 7.8 小结 ▪ 7.9 练习

塔里木大学：《数据结构》课程教学资源（实验讲义）数据结构实验指导书