University of Illinois at Chicago
College of Business Administration
Department of Information & Decision Sciences
IDS 472
Statistics for IS and Data Mining ("SISDM")
Semester
Spring, 2000 (Term #992)
Instructor
Prof. Stanley L. Sclove
Textbook
Weiss & Indurkhya,
Predictive DataMining (PDM)
Course Homepage
Organization and Administration
Syllabus
Course Calendar
Bibliography
(FYI only: no readings assigned except the textbook)
Suggestions for IDS Majors
The
tasks
in the course are:
three homework assignments; two exams; and a final project.
Homework A
Due Mon., 31-Jan.
Homework B
Due Mon., 21-Feb.
Homework C
Due Wed., 5-Apr.
Solutions
Project
due by 12:30 p.m. on Wednesday, 3-May
Data
Alpha radial tires data
Excelworkbook
Assets-Sales-Profits
Excel workbook
Iris data
ASCII
Excel Workbook
Heart Data
Excelworkbook
Notes
(Three sections: Background; Particular Topics; Notes on the Chapters)
Notes: Background
Review of Business Statistics I-II
Notes onLinear Algebra
Notes: Particular Topics
The lectures will focus on these topics:
StratifiedSampling
Exercise:
Instructions
StratifiedSampling
Spreadsheet
ClusterAnalysis
CART
LogisticRegression
Path Analysis
Neural Networks
Notes: on the textbook
Notation
Notes on the Chapters
You are to read steadily through the textbook, with the aid ofthese notes on the chapters, which are commentaries to the textbook.
Chapter 1: What is Data Mining?
Notes
HTML
MSWord
Chapter2: Statistical Evaluation for Big Data
Notes
HTML
MSWord
Chapter 3: Preparing the Data
Notes
MSWord
Outlier Detection:
AnExample
Chapter 4: Data Reduction
Notes
HTML
MSWord
"Against All Odds: Inside Statistics" Program 10: Multidimensional Datawill be viewed.
NOVA: "We Know Where You Live" on geodemographic databases underlyingdirect-mail marketing will be viewed.
Notes on "The Clustering of America"
Exam #1
Wed., 1-March
Preview
Solutions:
HTML
MS Word
Addendum to Chapter 4:
ClusterAnalysis
Chapter 5: Looking for Solutions
Notes
Tree for irisdata
Chapter 6: What's Best for Data Reductionand Mining ?
Notes
Chapter 7: Art or Science? Case Studies inData Mining
Notes
Review Questions
Exam #2
Mon.,17-April
Solutions
Project
Due by 12:30 p.m., Wednesday, 3-May
Links
MinitabWeb Resources Site
Prof. Sclove's homepage
IDS 470Homepage
Copyright
©
1999 Stanley Louis Sclove
Created: 21 Oct 1999 Updated: 17 Apr 2000