电子科技大学：《大数据分析与挖掘 Big Data Analysis and Mining》课程教学资源（课件讲稿）Lecture 2 BasicConcepts（Foundations of Data Mining）

电子科技大学：《大数据分析与挖掘 Big Data Analysis and Mining》课程教学资源（课件讲稿）Lecture 4 Sampling for Big Data

《数据挖掘导论 Introduction to Data Mining》课程教学资源（PPT课件讲稿）Data Mining Classification（Basic Concepts, Decision Trees, and Model Evaluation）

1. What is data mining? 2. Association rule discovery 3. Statistical models 4. Predictive modelling 5. A scoring case study 6. Discussion

1 Introduction 1.1 GUI and Basic functions 1.1.1 Command Window 1.1.2 Command History 1.1.3 MatLab Help 2 Data in MatLab 2.1 Manipulating data 2.1.1 Creating Objects 2.1.2 Operators 3 Graphics 3.1 Use plotting tools 3.2 Use the command interface 3.2.1 Basic plots 3.2.2 Adding Plots to an Existing Graph 3.2.3 Multiple Plots in One Figure 3.2.4 Controlling the Axes 3.2.5 Axis Labels and Titles 3.3 Mesh and Surface Plots 3.4 Creating Specialized Plots 3.5 Advanced plotting

《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（阅读材料）Efficient Clustering of High-Dimensional Data Sets with Application to Reference Matching

1 Introduction 2 MapReduce Basics 3 MapReduce algorithm design 4 Inverted Indexing for Text Retrieval 5 Graph Algorithms 6 EM Algorithms for Text Processing 7 Closing Remarks

《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（阅读材料）MapReduce——Simplified Data Processing on Large Clusters

Data Mining Association Analysis——Basic Concepts and Algorithms Chapter 6 Introduction to Data Mining

医学统计学的基本概念 统计资料的类型 医学统计工作的基本步骤 一、研究设计(research design) 二、收集资料 (data collection) 三、整理资料 (data sorting) 四、分析资料 (statistical analysis) 统计表与统计图