Data Mining

  • Created: 2015-10-18
  • 1828
Name:Data Mining
No.:S081104ZJ018Semester:Autumn
Hour:40Credit:2.0
Teacher:Liu,Ying
Introduction:
 
Course Objective: Introduce the motivation of data mining, and the principles and main algorithms in data mining. The topics include: the major applications, characteristics, data warehouse, association rules mining, classification, prediction, clustering, etc. English is the only official language allowed in this class. This course is to provide students with knowledge and hands-on experience. Prerequisite Data Structure, Algorithms, C/C++ Programming, Database.
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: