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VLDB
2005
ACM
146views Database» more  VLDB 2005»
16 years 5 months ago
Adaptive website recommendations with AWESOME
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many fa...
Andreas Thor, Nick Golovin, Erhard Rahm
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
16 years 5 months ago
ORDEN: outlier region detection and exploration in sensor networks
Sensor networks play a central role in applications that monitor variables in geographic areas such as the traffic volume on roads or the temperature in the environment. A key fea...
Conny Franke, Michael Gertz
SIGMOD
2006
ACM
141views Database» more  SIGMOD 2006»
16 years 5 months ago
Contour map matching for event detection in sensor networks
Many sensor network applications, such as object tracking and disaster monitoring, require effective techniques for event detection. In this paper, we propose a novel event detect...
Wenwei Xue, Qiong Luo, Lei Chen 0002, Yunhao Liu
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
16 years 5 months ago
Identifying Similarities, Periodicities and Bursts for Online Search Queries
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...
EDBT
2004
ACM
142views Database» more  EDBT 2004»
16 years 5 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
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