Sciweavers

1009 search results - page 4 / 202
» Using Data Mining to Estimate Missing Sensor Data
Sort
View
91
Voted
PAKDD
2005
ACM
160views Data Mining» more  PAKDD 2005»
15 years 2 months ago
Improving Mining Quality by Exploiting Data Dependency
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...
RSCTC
2000
Springer
185views Fuzzy Logic» more  RSCTC 2000»
15 years 29 days ago
A Comparison of Several Approaches to Missing Attribute Values in Data Mining
: In the paper nine different approaches to missing attribute values are presented and compared. Ten input data files were used to investigate the performance of the nine methods t...
Jerzy W. Grzymala-Busse, Ming Hu
69
Voted
GIS
2010
ACM
14 years 7 months ago
A data stream-based evaluation framework for traffic information systems
Traffic information systems based on mobile, in-car sensor technology are a challenge for data management systems as a huge amount of data has to be processed in real-time. Data m...
Sandra Geisler, Christoph Quix, Stefan Schiffer
ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
15 years 3 months ago
Target detection and position likelihood using an aerial image sensor
— Sensor-based control is an emerging challenge in UAV applications. It is essential in a sensing task to account for sensor measurement errors when computing a target position e...
Zu Whan Kim, Raja Sengupta
HIS
2004
14 years 10 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...