01/18 Data mining:
analysis - break information into different and important parts, and bring the meaning to the
Identification strategy what piece of information I pull out from data would be most useful to
understand the changing of profit.
ISGB 7967/BYGB 7967 DATA MINING FOR BUSINESS
SPSS Installation Workshop, Fall 2015 (09/07/2015)
Prof. Dobin Yim
1. Always login and then logout of IBM properly.
2. Be aware and careful of proper policy in downloading and installing
ISGB/BYGB 7967 Fall 2014, Data Mining for business
SPSS Modeler 15.0 Assignment 1 Association
* Due Date: 10/8/2014
1. Work on this assignment individually. Penalty for any form of copying or
cheating is an F grade.
2. Please follow the Association work
Graduate School of Business
ISGB 7967/BYGB 7967 DATA MINING FOR BUSINESS Fall 2015
Tuesdays 5:50 PM 7:50 PM/8:00 PM 10:00 PM
Lowenstein Building 515
Professor Dobin Yim ([email protected])
GA: Dan Luo ([email protected])
INSY 4508 - BUSINESS MODELING WITH SPREADSHEETS
Monday Thursday 4.00pm - 5.15pm
Prof. Kamesam, Department of Information and Communications Systems
Office: Room 467, 4th Floor, Faber Hall, Rose Hill Campus, Bronx
icture.8 Gabelli School of
INSY 4507 & MGBU 4507
Wael Hibri, Ph.D.
Undertaking a large project requires bringing together a team of planners, builders, an
INSY 4434 spring 2017, DATA MINING FOR BUSINESS
Prof. P. V. Kamesam
Maxwell Li ([email protected])
Class Meeting Times: M, Th 2.30- 3.45pm
Office Hours: Thursday 1.00pm to 2.00pm or by appointment. Send me email
Office: Room 467, F
Data Mining 01/25
What is data science?
Structuring and analyzing data so that you can find something meaningful
Who is data scientist?
People that can get useful information out of data
Where does data come from?
POS system point of sales system
if a = 'R':
x = b * 0.012
y = c * 0.012
elif a = 'C':
x = b * 0.011
y = c * 0.011
elif a = 'I':
x = b * 0.010
y = c * 0.010
return x, y
x = 'Residential'
y = 'Commercial'
z = 'Industrial'
a = None
A = 
B = 
C = 
D = 
Review from last time
Insights What can we change to improve
Analysis How do we decide which feature(s) will
drive such change?
Statistically Significant & Practically Important
Feature is related to outcome
Feature is changeable