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Individual and Collective Graph Mining
Danai Koutra, Christos Faloutsos (Broschiert, Englisch)
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Beschreibung
Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect 64,19 €
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Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
Der Umwelt zuliebe
Technische Daten
Erscheinungsdatum
26.10.2017
Sprache
Englisch
EAN
9783031007835
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Synthesis Lectures on Data Mining and Knowledge Discovery
Sonderedition
Nein
Autor
Danai Koutra, Christos Faloutsos
Seitenanzahl
197
Einbandart
Broschiert
Buch Untertitel
Principles, Algorithms, and Applications
Autorenporträt
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.
Thema-Inhalt
UNF - Data Mining
UYQE - Wissensbasierte Systeme, Expertensysteme
PBT - Wahrscheinlichkeitsrechnung und Statistik
Höhe
235 mm
Breite
19.1 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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