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» Using Clustering Methods for Discovering Event Structures
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DUX
2007
15 years 7 months ago
180 x 120: designing alternate location systems
Using 180 RFID tags to track and plot locations over time, guests to an event at the San Francisco Museum of Modern Art (SFMOMA) collectively constructed a public visualization of...
Eric Paulos, Anthony Burke, Tom Jenkins, Karen Mar...
CCGRID
2009
IEEE
15 years 10 months ago
Towards Visualization Scalability through Time Intervals and Hierarchical Organization of Monitoring Data
Highly distributed systems such as Grids are used today to the execution of large-scale parallel applications. The behavior analysis of these applications is not trivial. The comp...
Lucas Mello Schnorr, Guillaume Huard, Philippe Oli...
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
16 years 3 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...
WISE
2002
Springer
15 years 8 months ago
Log Mining to Improve the Performance of Site Search
Despite of the popularity of global search engines, people still suffer from low accuracy of site search. The primary reason lies in the difference of link structures and data sca...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying M...
IDA
2007
Springer
15 years 3 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka