2010 Annual Conference Data Mining Track

Data Mining Track WIFI ibahn_conference CODE: 01A3D9

IT’S GREAT BEING A MODELER However…

SO, WHAT DO YOU DO FOR A LIVING? Something with data Some stuff with statistics and numbers It’s complicated… (do you have an hour?)

SO, WHAT DO YOU DO FOR A LIVING? However…

FURTHER READING… ,[object Object]

FURTHER READING… ,[object Object],[object Object]

IF IT DOESN’T EXIST… ,[object Object]

THE MODEL FARM ,[object Object],[object Object],[object Object],[object Object]

LET’S EVALUATE RATIONALLY ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

RE!SET ? ,[object Object],[object Object],[object Object]

Web Analytics 2.0: state of the art, challenges and opportunities Prof. dr. Bart Baesens Department of Decision Sciences and Information Management K.U.Leuven (Belgium) Vlerick Leuven Ghent Management School (Belgium) School of Management University of Southampton (United Kingdom) [email_address] www.dataminingapps.com Twitter: DataMiningApps Facebook: Data Mining with Bart

Overview ,[object Object],[object Object],[object Object],[object Object],[object Object]

Web Intelligence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Example goals of Web analytics & mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Data collection on the Web ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],195.162.218.155 - - [27/Jun/2002:00:01:54 +0200] "GET /dutch/shop/detail.html HTTP/1.1" 200 38890 "http://www.msn.be/shopping/food/" "Mozilla/4.0 (MSIE 6.0)"

Example web usage metrics (Kaushik, 2009) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Analysis challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Analysis challenges (contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Example advanced data mining applications ,[object Object],[object Object],[object Object],[object Object],[object Object]

Navigation analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

SAS Web Analytics: funnel example

SAS Web Analytics: site overlay

Experiment and test ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Multivariate testing ,[object Object],[object Object],[object Object],[object Object],[object Object],X1: headline X2: sales copy X3: button text X3: image (e.g. “hero shot”) X4: button color

Semi-Supervised Classification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Collaborative Filtering: Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Social Networks Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Twitter metrics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Components of a Network Learning System ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Example ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?

Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object]

2010 Annual Conference Data Mining Track

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2010 Annual Conference Data Mining Track