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» Using Data Mining to Estimate Missing Sensor Data
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ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
15 years 10 months ago
Predicting and Optimizing Classifier Utility with the Power Law
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
Mark Last
ICRA
2010
IEEE
179views Robotics» more  ICRA 2010»
15 years 4 months ago
Accelerometer-based tilt estimation of a rigid body with only rotational degrees of freedom
Abstract— An estimation algorithm is developed for determining pitch and roll angles (tilt) of a rigid body fixed at a pivot using multiple accelerometers. The estimate is globa...
Sebastian Trimpe, Raffaello D'Andrea
KDD
2003
ACM
214views Data Mining» more  KDD 2003»
16 years 6 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney
IJRR
2007
186views more  IJRR 2007»
15 years 6 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
15 years 10 months ago
The Scamseek Project - Text Mining for Financial Scams on the Internet
The Scamseek project, as commissioned by ASIC has the principal objective of building an industrially viable system that retrieves potential scam candidate documents from the Inte...
Jon Patrick