Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Chris Volinsky"'
Autor:
Chris Volinsky
Publikováno v:
Encyclopedia of Social Network Analysis and Mining ISBN: 9781461471639
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::064c2d9fa08d33125f3c453d11e4a09c
https://doi.org/10.1007/978-1-4939-7131-2_280
https://doi.org/10.1007/978-1-4939-7131-2_280
Autor:
Rittwik Jana, Richard A. Becker, Robert Margolies, Chris Volinsky, Simon Urbanek, Supratim Deb, Simon D. Byers
Publikováno v:
INFOCOM
User location is of critical importance to cellular network operators. It is often used for network capacity planning and to aid in the analysis of service and network diagnostics. However, existing localization techniques rely on user-provided infor
Autor:
Simon Urbanek, Alexander Varshavsky, Margaret Martonosi, Ramón Cáceres, Richard A. Becker, James Rowland, Karrie J. Hanson, Sibren Isaacman, Chris Volinsky, Ji Meng Loh
Publikováno v:
Communications of the ACM. 56:74-82
Anonymous location data from cellular phone networks sheds light on how people move around on a large scale.
Publikováno v:
Journal of Service Research. 14:355-371
Adoption of new services in the marketplace, and the impact that word of mouth (WOM) has on adoption, has long been of interest to marketers. Managers have therefore become increasingly interested in measuring WOM activity most commonly through the r
Autor:
Alexander Varshavsky, Simon Urbanek, Ramón Cáceres, Chris Volinsky, Richard A. Becker, Karrie J. Hanson, Ji Meng Loh
Publikováno v:
IEEE Pervasive Computing. 10:18-26
Cellular data from call detail records can help urban planners better understand city dynamics. The authors use CDR data to analyze people flow in and out of a suburban city near New York City.
Publikováno v:
Technometrics. 52:20-33
Fraud detection is an increasingly important and difficult task in today’s technological environment. As consumers are putting more of their personal information online and transacting much more business over computers, the potential for losses fro
Publikováno v:
CHANCE. 23:24-29
Publikováno v:
Computer. 42:30-37
As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback,
Publikováno v:
ACM SIGKDD Explorations Newsletter. 8:47-52
Task 1 of the 2006 KDD Challenge Cup required classification of pulmonary embolisms (PEs) using variables derived from computed tomography angiography. We present our approach to the challenge and justification for our choices. We used boosted trees
Publikováno v:
Journal of Computational and Graphical Statistics. 15:584-608
A dynamic network is a special type of network composed of connected transactors which have repeated evolving interaction. Data on large dynamic networks such as telecommunications networks and the Internet are pervasive. However, representing dynami