Data Mining: Concepts and Techniques Course Outline November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Instructor Instructors: Nan Wang Office: TEC 232 Phone: (601) 266-6286 Email: nan.wang@usm.edu Homepage: http://orca.st.usm.edu/~nwang/ Email is the best way to reach me! November 9, 2018 Data Mining: Concepts and Techniques

Course Home Page Course URL www.cs.usm.edu/~nwang/teaching/datamining Office hours 10:45PM – 11:45PM Monday - Thursday Or by appointment Course announcements Available online or in classroom About lecture notes Usually available on the course homepage

Textbook Textbook Data Mining: Concepts and Techniques, 3rd ed. Morgan Kaufmann Publishers, March 2011. By Jiawei Han; Micheline Kamber Reference books: http://www.cs.waikato.ac.nz/~ml/weka/book.html http://www.pearsonhighered.com/educator/academic/product/0,1144,0321321367,00.html

Course Description Covers the concepts and principles of data mining techniques. 1. Association Rule Mining, Frequent Patterns mining etc. 2. Classification and Prediction: Decision Tree Bayesian Neural Network Support Vector Machine Etc. 3. Clustering Outlier Analysis Model-based and Density-based cluster Analysis etc.

Course Arrangements Class presentation (individual work) 10% Assignments 30% Take home exams 20% Research project and term paper 40% Course grading scale: 90% - 100% A 80% - 89% B 70% - 79% C 60% - 69% D 0% - 59% F

Data Mining: Concepts and Techniques Data Analysis November 9, 2018 Data Mining: Concepts and Techniques

What is Data? An attribute is a property or characteristic of an object Examples: eye color of a person, temperature, etc. Attribute is also known as variable, field, characteristic, or feature A collection of attributes describe an object Object is also known as record, point, case, sample, entity, instance, or observation Attributes Objects

Knowledge Discovery (KDD) Process Data mining—core of knowledge discovery process Pattern Evaluation Data Mining Task-relevant Data Selection Data Warehouse Data Cleaning Data Integration Databases November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Data Mining Process Data preprocessing Deal with missing value Reduce noise Etc. Feature selection (if necessary) Data Mining Pattern evaluation November 9, 2018 Data Mining: Concepts and Techniques

Architecture: Typical Data Mining System data cleaning, integration, and selection Database or Data Warehouse Server Data Mining Engine Pattern Evaluation Graphical User Interface Knowledge-Base Database Data Warehouse World-Wide Web Other Info Repositories November 9, 2018 Data Mining: Concepts and Techniques

Data Mining and Business Intelligence Increasing potential to support business decisions End User Decision Making Data Presentation Business Analyst Visualization Techniques Data Mining Data Analyst Information Discovery Data Exploration Statistical Summary, Querying, and Reporting Data Preprocessing/Integration, Data Warehouses DBA Data Sources Paper, Files, Web documents, Scientific experiments, Database Systems November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Confluence of Multiple Disciplines Database Technology Statistics Machine Learning Pattern Recognition Algorithm Other Disciplines Visualization November 9, 2018 Data Mining: Concepts and Techniques

Frequent Pattern Mining November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Classification November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Decision Tree November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Decision Tree November 9, 2018 Data Mining: Concepts and Techniques

Bayesian Classification November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Nerual Network November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Cluster Analysis November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Toolbox November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques November 9, 2018 Data Mining: Concepts and Techniques

Todo list before next class Install Weka in your laptop Read tutorials provided by Weka Start to consider your project topic (You can choose the topic which is related to your research) November 9, 2018 Data Mining: Concepts and Techniques