Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Guy Flysher"'
Publikováno v:
SIAM Journal on Discrete Mathematics. 24:1441-1469
We study the partial capacitated vertex cover problem (PCVC) in which the input consists of a graph $G$ and a covering requirement $L$. Each edge $e$ in $G$ is associated with a demand (or load) $\ell(e)$, and each vertex $v$ is associated with a (so
Autor:
Ilan Horn, Assaf Ben-David, David Deutscher, Ron Merom, Maayan Roth, Ari Leichtberg, Guy Flysher, Naty Leiser, Yossi Matias
Publikováno v:
KDD
Although users of online communication tools rarely categorize their contacts into groups such as "family", "co-workers", or "jogging buddies", they nonetheless implicitly cluster contacts, by virtue of their interactions with them, forming implicit
Autor:
Han, Nan, Qiao, Shaojie, Yue, Kun, Huang, Jianbin, He, Qiang, Tang, Tingting, Huang, Faliang, He, Chunlin, Yuan, Chang-An
Publikováno v:
ACM Transactions on Intelligent Systems & Technology; Jun2022, Vol. 13 Issue 3, p1-29, 29p
Autor:
Bartel, Jacob W., Dewan, Prasun
Publikováno v:
Computer Supported Cooperative Work: The Journal of Collaborative Computing; Dec2018, Vol. 27 Issue 3-6, p983-1018, 36p
Autor:
Sofershtein, Zvi, Cohen, Sara
Publikováno v:
2015 IEEE/ACM International Conference on Advances in Social Networks Analysis & Mining (ASONAM); 1/1/2015, p761-764, 4p
Autor:
Desai, Akash, Dash, Subrat Kumar
Publikováno v:
2014 Seventh International Conference on Contemporary Computing (IC3); 2014, p461-466, 6p
Publikováno v:
Foundations & Trends in Databases; 2015, Vol. 7 Issue 1/2, p182-195, 14p
Autor:
Roth, Maayan, Ben-David, Assaf, Deutscher, David, Flysher, Guy, Horn, Ilan, Leichtberg, Ari, Leiser, Naty, Matias, Yossi, Merom, Ron
Publikováno v:
Proceedings of the 16th ACM SIGKDD International Conference: Knowledge Discovery & Data Mining; 7/25/2010, p233-242, 10p
Online social networks have already become a bridge connecting our physical daily life with the (web-based) information space. This connection produces a huge volume of data, not only about the information itself, but also about user behavior. The ub
The growing need to deal with massive graphs in real-life applications has led to a surge in the development of big graph analytics platforms. Tens of such big graph systems have already been developed, and more are expected to emerge in the near fut