Dissertation Data Mining

Dissertation Data Mining-73
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.

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.

The applications of this research are far reaching for the fields of data mining, information retrieval, profiling and demographic inference, online advertising and fraud detection.

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

“Xiang did brilliant work during his Ph D study and his work has been well cited and well recognized,” Han said.

Ren called studying under Han “an amazing experience” that prepared him for an academic career by including him in grant-proposal writing, paper reviewing, principal investigator meetings, and guest lectures.

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.

Note: Some theses and dissertations may be embargoed up to a year after graduation before public release; please see the Graduate School Information.

Copyright of the original thesis is retained by the author.

“The majority of data we are collecting today are primarily natural-language text data, which are unstructured sequences of words that are hard for machines to process,” he said.

Ren’s challenge was to find a way to build systems that can easily and quickly switch between domains and work for different downstream applications, a problem his thesis proposed to address the use of what he calls an “effort light” methodology.

SHOW COMMENTS

Comments Dissertation Data Mining

The Latest from chaikasamara.ru ©