Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Katchaguy Areekijseree"'
Publikováno v:
EAI Endorsed Transactions on Security and Safety, Vol 6, Iss 19 (2019)
In the era of big data, the data-processing pipeline becomes increasingly distributed among multiple sites. To connect data consumers with remote producers, a public directory service is essential. This is evidenced by adoption in emerging applicatio
Externí odkaz:
https://doaj.org/article/594492e09d8b4cba85404b41bfa6e8cd
Publikováno v:
ASONAM
When studying a network, it is often of interest to understand the robustness of that network to noise. Network robustness has been studied in a variety of contexts, examining network properties such as the number of connected components and the leng
Publikováno v:
ASONAM
Over the past two decades, online social networks have attracted a great deal of attention from researchers. However, before one can gain insight into the behavior or structure of a network, one must first collect appropriate data. Data collection po
Publikováno v:
WebSci
Over the past two decades, online social networks have attracted a great deal of attention from researchers. However, before one can gain insight into the properties or structure of a network, one must first collect appropriate data. Data collection
Autor:
Balaji Palanisamy, Arun Iyengar, Shuang Wang, Katchaguy Areekijseree, Yuzhe Richard Tang, Ju Chen
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030017002
SecureComm (1)
SecureComm (1)
In the era of big-data, personal data is produced, collected and consumed at different sites. A public directory connects data producers and consumers over the Internet and should be constructed securely given the privacy-sensitive nature of personal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::498de0bc26b203cb00625726aa039332
https://doi.org/10.1007/978-3-030-01701-9_5
https://doi.org/10.1007/978-3-030-01701-9_5
Publikováno v:
EAI Endorsed Transactions on Security and Safety, Vol 6, Iss 19 (2019)
In the era of big data, the data-processing pipeline becomes increasingly distributed among multiple sites. To connect data consumers with remote producers, a public directory service is essential. This is evidenced by adoption in emerging applicatio
Publikováno v:
IEEE BigData
INFOCOM Workshops
INFOCOM Workshops
When studying large-scale networks, including the Web and computer networks, it is first necessary to collect appropriate data. There is a large body of literature on web crawling and network sampling in general; however, this work typically assumes
Publikováno v:
IEEE BigData
In this work, we propose Max-Node sampling, a novel sampling algorithm for data collection. The goal of Max-Node is to maximize the number of nodes observed in the sample, given a budget constraint. Max-Node is based on the intuition that networks co
Publikováno v:
2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE).
Volunteered computing has been one of the popular distributed computing concepts recently. The basic idea is to allow computer owners to donate the computing power and storage to scientific applications. In this research, we are interested in the uti