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» Study of Challenges and Techniques in Large Scale Matching
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114
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MOBISYS
2010
ACM
15 years 2 months ago
Darwin phones: the evolution of sensing and inference on mobile phones
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...
113
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SIGMOD
2002
ACM
127views Database» more  SIGMOD 2002»
16 years 19 days ago
Approximate XML joins
XML is widely recognized as the data interchange standard for tomorrow, because of its ability to represent data from a wide variety of sources. Hence, XML is likely to be the for...
Sudipto Guha, H. V. Jagadish, Nick Koudas, Divesh ...
127
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KAIS
2008
150views more  KAIS 2008»
15 years 13 days ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
SIGMOD
2010
ACM
236views Database» more  SIGMOD 2010»
15 years 5 months ago
Differentially private aggregation of distributed time-series with transformation and encryption
We propose PASTE, the first differentially private aggregation algorithms for distributed time-series data that offer good practical utility without any trusted server. PASTE add...
Vibhor Rastogi, Suman Nath
105
Voted
ECOOP
1999
Springer
15 years 4 months ago
Visualizing Reference Patterns for Solving Memory Leaks in Java
Many Java programmers believe they do not have to worry about memory management because of automatic garbage collection. In fact, many Java programs run out of memory unexpectedly ...
Wim De Pauw, Gary Sevitsky