数据挖掘

  • 创建于 2015-10-13
  • 2102
Name:数据挖掘
No.:S081104ZJ018Semester:秋季学期
Hour:40Credit:2.0
Teacher:刘莹
Introduction:
 
本课程为计算机专业研究生课程,主要介绍数据挖掘技术的起源、原理、主要算法。课程包含的主要议题包括:数据挖掘的重要性、特点、应用领域、数据仓库、关联规则、分类、预测、聚类等。本课程采用全英文教学,并将注重理论与实践相结合,使计算机专业研究生掌握数据挖掘的概念的同时,学会在工作中应用之,进而在科研中更好地利用和改进相关模型。
Content:
 
Chapter 1: Introduction
Motivation, major issues, major applications, characteristics
Chapter 2: Data warehouse
Model, architecture, operations
Chapter 3: Data pre-processing
Data cleaning, data transformation, data reduction 
Chapter 4: Association Rules
Apriori, single-pass frequent itemset mining, FP-Growth
Chapter 5: Classification
Decision tree, Bayesian Classifier, Classification by backpropagation, KNN classifier, statistical prediction models
Chapter 6: Clustering
Partitioning methods, hierarchical methods, density-based methods, grid-based methods
Material:
 
References: