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https://dl.acm.org/ft_gateway.cfm?id=2783385&ftid=1628953&dwn=1
Extracting dense subgraphs from large graphs is a key primitive in a variety of graph mining applications, ranging from mining social networks and the Web graph to bioinformaticsAuthor: Michael Mitzenmacher, Jakub Pachocki, Richard Peng, Charalampos Tsourakakis, Shen Chen Xu
https://www.barnesandnoble.com/w/distributed-computing-idit-keidar/1114171157
This book constitutes the refereed proceedings of the 23nd International Symposium on Distributed Computing, DISC 2009, held in Elche, Spain, in September 2009. The 33 revised full papers, selected from 121 submissions, are presented together with 15 brief announcements of ongoing works; all of...
https://dl.acm.org/citation.cfm?id=2736277.2741098
Since formulations that are geared towards finding large near-cliques are hard and frequently inapproximable due to connections with the Maximum Clique problem, the poly-time solvable densest subgraph problem which maximizes the average degree over all possible subgraphs "lies at the core of large scale data mining" [10].Author: Charalampos Tsourakakis
https://www.mdpi.com/1999-4893/12/8/157/htm
In this survey paper, we review various concepts of graph density, as well as associated theorems and algorithms. Our goal is motivated by the fact that, in many applications, it is a key algorithmic task to extract a densest subgraph from an input graph, according to some appropriate definition of graph density. While this problem has been the subject of active research for over half of a ...Author: András Faragó, Zohre R. Mojaveri
https://www.researchgate.net/scientific-contributions/3233633_Boaz_Patt-Shamir
We consider a scenario where large data frames are broken into a few packets and transmitted over the network. Our focus is on a bottleneck router: the model assumes that in each time step, a set ...
https://www.researchgate.net/publication/340003209_A_Fast_Counting_Method_for_6-Motifs_with_Low_Connectivity
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https://www.sciencedirect.com/science/article/pii/S1084804516300029
In this paper, we provide a comprehensive review of a large set of methods for mining social networks for anomalies by providing a multi-level taxonomy to categorize the existing techniques based on the nature of input network, the type of anomalies they detect, and the underlying anomaly detection approach.Author: P.V. Bindu, P. Santhi Thilagam
https://patents.google.com/patent/US20110238516A1/en
Systems and methods of e-commerce threat detection are provided. The method detects fraud, fraudsters, theft rings, and stolen merchandise for sale on various e-commerce platforms. The method begins by receiving a user query relating to the activities associated with an individual or item; compiling data provided on one or more web site relating to the individual or item; determining a ...Author: Paul Mcafee
https://wikivisually.com/wiki/Hyperbolic_geometric_graph
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