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	Faloutsos, Christos     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 5 of 9 reviews       Individual and collective graph mining: principles, algorithms, and applications Koutra D., Faloutsos C., Morgan&Claypool Publishers, San Rafael, CA, 2018. 206 pp.  Type: Book (978-1-681730-39-4) Having recently finished my course on web intelligence, with topics such as knowledge graphs, social network analysis, and web mining, as well as supervising a PhD candidate on graph-based querying and pattern matching for linked open ...... Feb 11 2019     Ecosystem on the web: non-linear mining and forecasting of co-evolving online activities Matsubara Y., Sakurai Y., Faloutsos C. World Wide Web 20(3): 439-465, 2017.  Type: Article As the web gets involved in people’s everyday lives, mining keywords to determine patterns of online activities becomes essential in several fields, including sociology, behavior, and marketing. While existing mining techniqu...... Jul 5 2017      Catching synchronized behaviors in large networks: a graph mining approach Jiang M., Cui P., Beutel A., Faloutsos C., Yang S. ACM Transactions on Knowledge Discovery from Data 10(4): 1-27, 2016.  Type: Article The automatic detection and accurate interpretation of suspicious graph patterns is one of the key issues in spotting malicious activities inside real-world systems, such as fake followers in Twitter, social network manipulation, and d...... Nov 10 2016      CopyCatch: stopping group attacks by spotting lockstep behavior in social networks Beutel A., Xu W., Guruswami V., Palow C., Faloutsos C.  WWW 2013 (Proceedings of the 22nd International World Wide Web Conference, Rio de Janeiro, Brazil, May 13-17, 2013) 119-130, 2013.  Type: Proceedings In Web 2.0, the content is no longer static, but rather dynamically user generated. In this universe, the more interaction a product page or user profile gets, the greater the potential profits an individual or company may achieve with...... May 15 2014     Data mining in large sets of complex data Cordeiro R., Faloutsos C., Júnior C., Springer Publishing Company, Incorporated, New York, NY, 2013. 127 pp.  Type: Book (978-1-447148-89-0) In this information age, the volume and complexity of data generated and collected is increasing exponentially. In order to significantly use these huge volumes of complex data, we must have fast and automated techniques to discover us...... Jul 30 2013     Display 510152550100 per column
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