The finance industry is at the start of an unprecedented period of disruption. Established firms and start-ups are both embracing disruptive new technologies, from
Patents & Publications
Finance Disrupted Q&A
Finance Disrupted Panelist Q+As The wave of fintech disruption that is sweeping through the financial services industry is at a critical phase. The rise
Invited Talks 1st Session — Applied Data Science Track – KDD-2016
View on LinkedIn About KDD2016
Invited Talks 2nd Session — Applied Data Science Track – KDD-2016
View on LinkedIn About KDD2016
22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 13 – 17, 2016, San Francisco, California (KDD2016)
KDD 2016 Program KDD 2016 Speakers Keynotes: Graphons and Machine Learning: Modeling and Estimation of Sparse Massive Networks ( Jennifer Chayes: Distinguished Scientist and
research report 1
“Data Mining Techniques” U. Fayyad, Advances in Computers, 50-page invited survey of field, Academic Press by Elsevier Science Publishers. in preparation – (2004)
“Knowledge Discovery in Databases: An Overview” U. Fayyad, in Relational Data Mining, S. Dzeroski and N. Lavrac (eds), pp. 28-47, Berlin: Springer-Verlag, (2001)
6,263,337 Scalable system for expectation maximization clustering of large databases
A data mining system for use in finding clusters of data items in a database or any other data storage medium. The clusters are
7051029 Identifying and reporting on frequent sequences of events in usage data
A facility for identifying groups of items that co-occur in more than a threshold number of instances is described. Each such group of items