Dissertation Data Mining

Dissertation Data Mining-12
At Google, Perozzi’s research relates to the intersection of data mining, machine learning, graph theory, and network science with a particular focus on local graph algorithms.In January 2017, he published and presented Ties that Bind: Characterizing Classes by Attributes and Social Ties, a collaboration with Stony Brook Ph D student Aria Rezaei and Carnegie Melon faculty Leman Akoglu.Ren is only the most recent student from Abel Bliss Professor Jiawei Han’s Data Mining Group to receive ACM SIGKDD Dissertation Awards.

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Perozzi, whose advisor was Stony Brook Professor Steven Skiena, defended his thesis in May 2016.

Professor Skiena is especially proud of Perozzi’s research accomplishments, and they are collaborators on a number of published works.

Their paper on Deep Walk graph embeddings has already been cited 270 times in Google Scholar since its publication in 2014.

SIGKDD is the ACM’s Special Interest Group on Knowledge Discovery and Data Mining.

SIGKDD selects one winner and two runner-ups each year to receive the award.

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