Data Mining for Business Analytics
Lecture 11: Unsupervised Data Mining and Clustering
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
Definition: Clustering
Clustering is another application of our fundamental
Data Mining for Business Analytics
Lecture 4: Discriminant Functions
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
Heat map of XYZ Hotels geographic brand affinity
P. Adamopoulos
New York University
Tree Compl
Business Performance Services
IBM Business Performance Services
NYU Stern
Overview and Optimization Example
February 19, 2015
IBM Confidential
2015 IBM Corporation
Business Performance Services
BPS team members at NYU today
Jessica Aspis
Senior Strategy
C20.0001 Fall 2015
Section 2,3,4
Final Exam Guidelines
Draft Version, Last Updated on April 23rd, 2015
This document provides some guidelines for your midterm examination on Thursday May 14th. It is aimed at
helping you prepare efficiently for the exam, a
C20.0001 Fall 2015
Section 2,3,4
Final Exam Guidelines
Draft Version, Last Updated on May 4th, 2015
This document provides some guidelines for your midterm examination on Thursday May 14th. It is aimed at
helping you prepare efficiently for the exam, and
C20.0001 Spring 2006
Sample Final Examination
120 points
LAST NAME:
FIRST NAME:
NetID:
Instructions and guidelines
(1) This is a closed book/computer/notes/everything examination.
(2) You have 105 minutes to complete this exam, and it is worth 120 points
C20.0001 Spring 2006
Sample Final Examination
120 points
LAST NAME:
FIRST NAME:
NetID:
Instructions and guidelines
(1) This is a closed book/computer/notes/everything examination.
(2) You have 105 minutes to complete this exam, and it is worth 120 points
C20.0001
Information Technology in Business and Society
S12:
Midterm Review
Prof. Prasanna Tambe
Midterm
Short Answer, True/False, Matching, Analysis
Closed notes/books/computer/everything
No calculator
100 points, 70 minutes, Dont be late
Midterm re
C20.0001
Information Technology in Business & Society
S25: Final Exam Review
Prof. Prasanna Tambe
Final exam
Short Answer, True/False, Matching, Analysis
Closed notes/books/computer/everything
No calculator
150 points, 140 minutes, Dont be late
Resou
Data Mining for Business Analytics
Lecture 12: Other Data Science Tasks and Techniques
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
Co-occurrences and Associations
Complexity control:
Support of association
Data Mining for Business Analytics
Lecture 10: Similarity and Nearest Neighbors
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
Similarity and Distance
If two objects can be represented as feature vectors, then
Data Mining for Business Analytics
Lecture 9: Representing and Mining Text
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
Dealing with Text
Data are represented in ways natural to problems from which they
were
Data Mining for Business Analytics
Lecture 5: Model Performance Analytics
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
Over-fitting the data
Finding chance occurrences in data that look like interesting
patte
Data Mining for Business Analytics
Lecture 8: Prediction via Evidence Combination
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
Example: Targeting Online Consumers with Ads
Advertising campaign for upscale hot
Data Mining for Business Analytics
Lecture 1: Introduction to Data Mining
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
P. Adamopoulos
New York University
Data Mining
A set of principles, concepts, and techniq
Data Mining for Business Analytics
Lecture 6: Decision Analytic Thinking
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
Evaluation
How do we measure generalization performance?
P. Adamopoulos
New York Universit
Data Mining for Business Analytics
Lecture 7: Visualizing Model Performance
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
Ranking Instead of Classifying
P. Adamopoulos
New York University
Profit Curves
P. Adam
Data Mining for Business Analytics
Lecture 3: Supervised Segmentation
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
Supervised Segmentation
How can we segment the population into groups that differ from
each w
Data Mining for Business Analytics
Lecture 2: Introduction to Predictive Modeling
Stern School of Business
New York University
Spring 2014
P. Adamopoulos
New York University
MegaTelCo: Predicting Customer Churn
You just landed a great analytical job with
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