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» An fMRI Activation Method Using Complex Data
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ICOST
2011
Springer
14 years 3 months ago
Using Association Rule Mining to Discover Temporal Relations of Daily Activities
The increasing aging population has inspired many machine learning researchers to find innovative solutions for assisted living. A problem often encountered in assisted living set...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 1 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
15 years 5 months ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
ADC
2005
Springer
122views Database» more  ADC 2005»
15 years 5 months ago
Finding Similarity in Time Series Data by Method of Time Weighted Moments
Similarity search in time series data is an active area of research in data mining. In this paper we introduce a new approach for performing similarity search over time series dat...
Durga Toshniwal, Ramesh C. Joshi
BMCBI
2006
186views more  BMCBI 2006»
14 years 11 months ago
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
Xiaoli Li, Yin-Chet Tan, See-Kiong Ng