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Real-World Data Science (Fraud Detection, Customer Churn & Predictive Maintenance)

These are slides from a lecture I gave at the School of Applied Sciences in Münster. In this lecture, I talked about **Real-World Data Science** at showed examples on **Fraud Detection, Customer Churn & Predictive Maintenance**.

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Real-World	Data	Science
Fraud	Detection,	Customer	Churn	&	Predictive	Maintenance
Dr.	Shirin	Glander
About	me
Fraud	Detection
What	is	fraud	and	why	is	it	interesting	for	Data
Science?
“The	crime	of	getting	money	by	deceiving	people”	(Cambridge	Dictionary)
E-commerce	and	online	transactions	pose	risks	for	companies
What	is	fraud	and	why	is	it	interesting	for	Data
Science?
“The	crime	of	getting	money	by	deceiving	people”	(Cambridge	Dictionary)
E-commerce	and	online	transactions	pose	risks	for	companies
Traditional	Fraud	Detection
Rule-based
Inflexible
Leads	to	arms-race	between	companies	and	fraudsters
Leveraging	Big	Data	and	Machine	Learning	in
modern	Fraud	Detection
Collect	information	about	customers	&	transactions
Learn	from	this	data

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Real-World Data Science (Fraud Detection, Customer Churn & Predictive Maintenance)