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CIKM
2004
Springer
15 years 3 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
CIKM
2009
Springer
15 years 4 months ago
Walking in the crowd: anonymizing trajectory data for pattern analysis
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...
ISLPED
2003
ACM
152views Hardware» more  ISLPED 2003»
15 years 3 months ago
An MTCMOS design methodology and its application to mobile computing
The Multi-Threshold CMOS (MTCMOS) technology provides a solution to the high performance and low power design requirements of modern designs. While the low Vth transistors are use...
Hyo-Sig Won, Kyo-Sun Kim, Kwang-Ok Jeong, Ki-Tae P...
ICMCS
2009
IEEE
115views Multimedia» more  ICMCS 2009»
14 years 7 months ago
A framework to detect and classify activity transitions in low-power applications
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
Jeffrey Boyd, Hari Sundaram
KER
2011
14 years 23 days ago
Data mining: past, present and future
Data mining has become a well established discipline within the domain of Artificial Intelligence (AI) and Knowledge Engineering (KE). It has its roots in machine learning and st...
Frans Coenen