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99
Voted
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 4 days ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 4 days ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
KDD
2003
ACM
118views Data Mining» more  KDD 2003»
16 years 4 days ago
Generating English summaries of time series data using the Gricean maxims
We are developing technology for generating English textual summaries of time-series data, in three domains: weather forecasts, gas-turbine sensor readings, and hospital intensive...
Somayajulu Sripada, Ehud Reiter, Jim Hunter, Jin Y...
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
16 years 4 days ago
Eliminating noisy information in Web pages for data mining
A commercial Web page typically contains many information blocks. Apart from the main content blocks, it usually has such blocks as navigation panels, copyright and privacy notice...
Lan Yi, Bing Liu, Xiaoli Li
83
Voted
CHI
2005
ACM
16 years 4 days ago
Towards an index of opportunity: understanding changes in mental workload during task execution
To contribute to systems that reason about human attention, our work empirically demonstrates how a user's mental workload changes during task execution. We conducted a study...
Shamsi T. Iqbal, Piotr D. Adamczyk, Xianjun Sam Zh...