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ISMIS
1997
Springer
13 years 9 months ago
Discovering Empirical Equations from Robot-Collected Data
Discovery of multidimensional empirical equations has been a task of systems such as BACON and FAHRENHEIT. When confronted with data collected in a robotic experiment, BACON-like g...
Kuang-Ming Huang, Jan M. Zytkow
ECML
2001
Springer
13 years 10 months ago
Discovering Admissible Simultaneous Equation Models from Observed Data
Conventional work on scienti c discovery such as BACON derives empirical law equations from experimental data. In recent years, SDS introducing mathematical admissibility constrain...
Takashi Washio, Hiroshi Motoda, Yuji Niwa
CHI
2005
ACM
14 years 5 months ago
An experiment in discovering personally meaningful places from location data
As mobile devices become location-aware, they offer the promise of powerful new applications. While computers work with physical locations like latitude and longitude, people thin...
Changqing Zhou, Pamela J. Ludford, Dan Frankowski,...
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
13 years 11 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
ISWC
2006
IEEE
13 years 11 months ago
Discovering Characteristic Actions from On-Body Sensor Data
We present an approach to activity discovery, the unsupervised identification and modeling of human actions embedded in a larger sensor stream. Activity discovery can be seen as ...
David Minnen, Thad Starner, Irfan A. Essa, Charles...