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» A survey of confidential data storage and deletion methods
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CHI
2011
ACM
14 years 1 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
SIGIR
2002
ACM
14 years 9 months ago
Collaborative filtering with privacy via factor analysis
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
John F. Canny
82
Voted
KDD
2004
ACM
143views Data Mining» more  KDD 2004»
15 years 10 months ago
Incremental maintenance of quotient cube for median
Data cube pre-computation is an important concept for supporting OLAP(Online Analytical Processing) and has been studied extensively. It is often not feasible to compute a complet...
Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wan...
GLOBECOM
2008
IEEE
15 years 4 months ago
A Dynamic Load-Balanced Hashing Scheme for Networking Applications
Abstract—Network applications often require large data storage resources, fast queries, and frequent updates. Hash tables support these operations with low costs, yet they cannot...
N. Sertac Artan, Haowei Yuan, H. Jonathan Chao
CIKM
2006
Springer
15 years 1 months ago
Evaluation by comparing result sets in context
Familiar evaluation methodologies for information retrieval (IR) are not well suited to the task of comparing systems in many real settings. These systems and evaluation methods m...
Paul Thomas, David Hawking