PPT-Mining Large Graphs: Spectral Methods, Tensors and Influenc

Author : faustina-dinatale | Published Date : 2017-05-30

Christos Faloutsos CMU Thanks Alex Smola Jia Yu Tim Pan Google June 2013 C Faloutsos CMU 2 C Faloutsos CMU 3 Roadmap Graph problems G1 Fraud detection BP G2 Botnet

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Mining Large Graphs: Spectral Methods, Tensors and Influenc: Transcript


Christos Faloutsos CMU Thanks Alex Smola Jia Yu Tim Pan Google June 2013 C Faloutsos CMU 2 C Faloutsos CMU 3 Roadmap Graph problems G1 Fraud detection BP G2 Botnet. in. EEG Analysis. Steven L. Bressler. Cognitive . Neurodynamics. Laboratory. Center for Complex Systems & Brain Sciences. Department of Psychology. Florida . Atantic. University. Overview. Fourier Analysis. Daniel A. Spielman. Yale University. AMS Josiah Willard Gibbs Lecture. January . 6. , 2016 . From Applied to Pure Mathematics. Algebraic and Spectral Graph Theory. . . Sparsification. :. a. pproximating graphs by graphs with fewer edges. Link . Analysis, PageRank. Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. Daniel A. Spielman. Yale University. AMS Josiah Willard Gibbs Lecture. January . 6. , 2016 . From Applied to Pure Mathematics. Algebraic and Spectral Graph Theory. . . Sparsification. :. a. pproximating graphs by graphs with fewer edges. Richard C. Wilson. Dept. of Computer Science. University of York. Graphs and Networks. Graphs . and. networks . are all around us. ‘Simple’ networks. 10s to 100s of vertices. Graphs and networks. Richard C. Wilson. Dept. of Computer Science. University of York. Graphs and Networks. Graphs . and. networks . are all around us. ‘Simple’ networks. 10s to 100s of vertices. Graphs and networks. Richard Peng. Georgia Tech. In collaboration with. Michael B. Cohen. Jon . Kelner. John Peebles. Aaron . Sidford. Adrian . Vladu. Anup. . B. Rao. Rasmus. . Kyng. Outline. Graphs and . Lx. = . b. G . Overlapping Communities. Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. Data Mining. HUDK4050. Fall 2014. Wow. Welcome!. There’s a lot of you. It’s great to see so much continuing interest in EDM at TC. Administrative Stuff. Is everyone signed up for class?. If not, and you want to receive credit, please talk to me after class. Core Methods in Educational Data Mining EDUC691 Spring 2019 Welcome! Administrative Stuff Is everyone signed up for class? If not, and you want to receive credit, please talk to me after class Class Schedule Lingxiao Ma. . †. , Zhi Yang. . †. , Youshan Miao. ‡. , Jilong Xue. ‡. , Ming Wu. ‡. , Lidong Zhou. ‡. , . Yafei. Dai. . †. †. . Peking University. ‡ . Microsoft Research. USENIX ATC ’19, Renton, WA, USA. Steven L. Bressler. Cognitive . Neurodynamics. Laboratory. Center for Complex Systems & Brain Sciences. Department of Psychology. Florida . Atantic. University. Overview. Fourier Analysis. Spectral Analysis of the EEG. Course/Research Topics. Material derived from other sources and “Mining Massive Datasets” from:. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Fayé A. Briggs, PhD. Course webpage:. http://www.cs.bu.edu/~. evimaria/cs565-11.html. Schedule: Mon – Wed, . 2:30-4:00. Instructor: . Evimaria. . Terzi. , . evimaria@cs.bu.edu. Office hours: . Tues. . 11. :00am-12:30pm.

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