Individual and Collective Graph Mining: Principles, Algorithms, and Applications

Author:   Danai Koutra ,  Christos Faloutsos
Publisher:   Springer International Publishing AG
ISBN:  

9783031007835


Pages:   197
Publication Date:   26 October 2017
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Individual and Collective Graph Mining: Principles, Algorithms, and Applications


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Author:   Danai Koutra ,  Christos Faloutsos
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Weight:   0.401kg
ISBN:  

9783031007835


ISBN 10:   3031007832
Pages:   197
Publication Date:   26 October 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

Table of Contents

Acknowledgments.- Introduction.- Summarization of Static Graphs.- Inference in a Graph.- Summarization of Dynamic Graphs.- Graph Similarity.- Graph Alignment.- Conclusions and Further Research Problems.- Bibliography.- Authors' Biographies .

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Author Information

Danai Koutra is an Assistant Professor in Computer Science and Engineering at University of Michigan, Ann Arbor. Her research interests include large-scale graph mining, graph similarity and matching, graph summarization, and anomaly detection. Danai’s research has been applied mainly to social, collaboration, and web networks, as well as brain connectivity graphs. She holds one """"rate-1"""" patent and has six (pending) patents on bipartite graph alignment. Danai won the 2016 ACM SIGKDD Dissertation award, and an honorable mention for the SCS Doctoral Dissertation Award (CMU). She has multiple papers in top data mining conferences, including two award-winning papers, she has given three tutorials, and her work has been covered by the popular press, such as the MIT Technology Review. She has worked at IBM Watson, Microsoft Research, and Technicolor. She earned her Ph.D. and M.S. in Computer Science from CMU in 2015 and her diploma in Electrical and Computer Engineering at the National Technical University of Athens in 2010.Christos Faloutsos is a Professor at Carnegie Mellon University. He has received the Presidential Young Investigator Award by the National Science Foundation (1989), the Research Contributions Award in ICDM 2006, the SIGKDD Innovations Award (2010), 24 """"best paper"""" awards (including 5 """"test of time"""" awards), and 4 teaching awards. Six of his advisees have attracted KDD or SCS dissertation awards, He is an ACM Fellow, he has served as a member of the executive committee of SIGKDD; he has published over 350 refereed articles, 17 book chapters, and 2 monographs. He holds seven patents (and 2 pending), and he has given over 40 tutorials and over 20 invited distinguished lectures. His research interests include large-scale data mining with emphasis on graphs and time sequences; anomaly detection, tensors, and fractals.

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