Sensed Outlier Detection for Water Monitoring Data and a Comparative Analysis of Quantization Error Using Kohonen Self-Organizing Maps

2018 ◽  
Author(s):  
E. M. Dogo ◽  
N. I. Nwulu ◽  
B. Twala ◽  
C.O. Aigbavboa
Keyword(s):  
Comparative Analysis ◽  
Outlier Detection ◽  
Quantization Error ◽  
Water Monitoring ◽  
Monitoring Data ◽  
Self Organizing Maps ◽  
Self Organizing

Hydrogeochemical interpretation of South Korean groundwater monitoring data using Self-Organizing Maps

2014 ◽  
Vol 137 ◽  
pp. 73-84 ◽  
Author(s):  
Byoung-Young Choi ◽  
Seong-Taek Yun ◽  
Kyoung-Ho Kim ◽  
Ji-Wook Kim ◽  
Hyang Mi Kim ◽  
...  
Keyword(s):  
Groundwater Monitoring ◽  
Monitoring Data ◽  
Self Organizing Maps ◽  
South Korean ◽  
Self Organizing

A parameter based growing ensemble of self-organizing maps for outlier detection in healthcare

2017 ◽  
Vol 22 (S1) ◽  
pp. 2437-2460 ◽  
Author(s):  
Samir Elmougy ◽  
M. Shamim Hossain ◽  
Ahmed S. Tolba ◽  
Mohammed F. Alhamid ◽  
Ghulam Muhammad
Keyword(s):  
Outlier Detection ◽  
Self Organizing Maps ◽  
Self Organizing

Competition among European Tourist Cities: A Comparative Analysis with Multidimensional Scaling and Self-Organizing Maps

1995 ◽  
Vol 1 (3) ◽  
pp. 283-302 ◽  
Author(s):  
Josef A. Mazanec
Keyword(s):  
Comparative Analysis ◽  
Multidimensional Scaling ◽  
Profile Data ◽  
Self Organizing Maps ◽  
Tourist Destinations ◽  
European Cities ◽  
Som Network ◽  
Self Organizing

The tourism researcher's attention is drawn to the neurocomputing methodology of self-organizing maps (SOMs) SOMs can be used to find a radically parsimonious representation of multidimensional profile data. The properties of an SOM network are explored in a case study on the competitive relationships between European cities as tourist destinations. SOM results are compared with a conventional INDSCAL model. The database consists of the guest mix profiles of 26 major tourist cities between 1975 and 1992.

scholarly journals Self-organizing maps for outlier detection

1998 ◽  
Vol 18 (1-3) ◽  
pp. 33-60 ◽  
Author(s):  
Alberto Muñoz ◽  
Jorge Muruzábal
Keyword(s):  
Outlier Detection ◽  
Self Organizing Maps ◽  
Self Organizing

Multiple outlier detection in multivariate data using self-organizing maps title

2005 ◽  
Vol 20 (2) ◽  
pp. 245-264 ◽  
Author(s):  
Ashok K. Nag ◽  
Amit Mitra ◽  
Sharmishtha Mitra
Keyword(s):  
Outlier Detection ◽  
Multivariate Data ◽  
Self Organizing Maps ◽  
Self Organizing

scholarly journals Visual Data Mining With Self-organizing Maps for “Self-monitoring” Data Analysis

2016 ◽  
Vol 47 (3) ◽  
pp. 492-506 ◽  
Author(s):  
Elia Oliver ◽  
Iván Vallés-Ṕerez ◽  
Rosa-María Baños ◽  
Ausias Cebolla ◽  
Cristina Botella ◽  
...  
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Monitoring Data ◽  
Visual Data ◽  
Visual Data Mining ◽  
Self Organizing Maps ◽  
Self Monitoring ◽  
Self Organizing
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