Gene Moo Lee
15 SlideShares 4 Followers 2 Folgens
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Unternehmen/Arbeitsplatz
Vancouver, Canada Area Canada
Beruf
Assistant Professor of MIS at UBC Sauder School of Business
Branche
Education
Webseite
blogs.ubc.ca/genemoolee/
Info
Gene Moo Lee is an Assistant Professor of Sauder School of Business at the University of British Columbia. He holds a PhD in Computer Science from UT Austin. His research areas include mobile ecosystems, social media analysis, and Internet security. He has been involved in various industrial positions at Samsung, AT&T, Intel, and Goldman Sachs.
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business analytics big data sauder school of business text mining machine learning ubc industry intelligence randomized field experiment analytics social media marketing social media deep learninig e-commerce clickstream product reviews business intelligence deep learning high-tech industry m&a topic modeling business proximity internet policy design cybersecurity algorithm np-completeness computational complexity social mobile location-based social network gowalla mobile app matching advertising cross promotion
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Präsentationen

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Towards modeling M&A in high tech industries

Vor 9 Jahren • 673 Aufrufe

Mobile Video Delivery via Human Movement

Vor 9 Jahren • 489 Aufrufe

Modeling Human Mobility using Location Based Social Networks

Vor 9 Jahren • 467 Aufrufe

Improving the Interaction between Overlay Routing and Traffic Engineering

Vor 9 Jahren • 622 Aufrufe

Improving Sketch Reconstruction Accuracy

Vor 9 Jahren • 410 Aufrufe

Matching Mobile Applications for Cross Promotion

Vor 9 Jahren • 665 Aufrufe

Strategic Network Formation in a Location-Based Social Network

Vor 9 Jahren • 813 Aufrufe

Introduction to NP Completeness

Vor 8 Jahren • 6057 Aufrufe

Designing Cybersecurity Policies with Field Experiments

Vor 8 Jahren • 471 Aufrufe

Towards a better measure of business proximity: Topic modeling for industry intelligence

Vor 8 Jahren • 796 Aufrufe

Towards Advanced Business Analytics using Text Mining and Deep Learning

Vor 6 Jahren • 597 Aufrufe

Analyzing the spillover roles of user-generated reviews on purchases: Evidence from Clickstream data

Vor 6 Jahren • 302 Aufrufe

Content Complexity, Similarity, and Consistency in Social Media: A Deep Learning Approach

Vor 6 Jahren • 382 Aufrufe

Big Data Analytics: Challenges and Opportunities

Vor 6 Jahren • 726 Aufrufe

Developing A Big Data Analytics Framework for Industry Intelligence

Vor 5 Jahren • 299 Aufrufe
Personal Information
Unternehmen/Arbeitsplatz
Vancouver, Canada Area Canada
Beruf
Assistant Professor of MIS at UBC Sauder School of Business
Branche
Education
Webseite
blogs.ubc.ca/genemoolee/
Info
Gene Moo Lee is an Assistant Professor of Sauder School of Business at the University of British Columbia. He holds a PhD in Computer Science from UT Austin. His research areas include mobile ecosystems, social media analysis, and Internet security. He has been involved in various industrial positions at Samsung, AT&T, Intel, and Goldman Sachs.
Tags
business analytics big data sauder school of business text mining machine learning ubc industry intelligence randomized field experiment analytics social media marketing social media deep learninig e-commerce clickstream product reviews business intelligence deep learning high-tech industry m&a topic modeling business proximity internet policy design cybersecurity algorithm np-completeness computational complexity social mobile location-based social network gowalla mobile app matching advertising cross promotion
Mehr anzeigen