より詳細な情報
社会および公共システムの分析
Motive, Gesture, and the Analysis of Performance
Rink, Spiro and Gold (2011) in "New Perspectives on Music and Gesture", eds. Gritten and King (Ashgate), 267-92
A thought-provoking book chapter which probes a Chopin mazurka and its realization in numerous recorded performances, proposes a novel concept of musical motive, deriving from analysis of gestures created through performance.
Download score of Chopin's mazurka
Toward optimal calibration of the SLEUTH land use change model
Dietzel and Clarke (2007) Transactions in GIS 11:29-45
SLEUTH is a computational simulation model that uses adaptive cellular automata to simulate the way cities grow and change their surrounding land uses. SOMine was used to generate a self-orgranizing map for reducing data, to pursue the isolation of the best parameter sets and to indicate which of the existing 13 calibration metrics used in SLEUTH are necessary to arrive at the optimum. A new metric is proposed for increasing the value in future SLEUTH applications.
Operationalising multidimensional concepts of chronic poverty: an exploratory spatial analysis
Mehta, Panigrahi and Sivramkrishna (2006) in "Chronic Poverty and Development Policy in India", eds. Mehta and Shepherd (Sage Publications), 1-31
Viscovery SOMine K-SOM analysis was used to detect spatial inequalities at all levels of disaggregation between countries, states, regions, districts, blocks and even within cities, towns and villages. The nature and extent of these inequalities varies with choice of indicator and geographical space over which comparisons are made.
Towards fair ranking of Olympics achievements: the case of Sydney 2000
Churilov and Flitman (2006) Computers & Operations Research 33:2057-2082
An objective impartial system of analysis of the Olympic results, which the majority of participating countries would agree upon, is analyzed by discussing different ways of ranking the performance of participating countries at Sydney 2000 Olympic Games. The unsupervised data mining technique of self-organizing maps was used to group the participating countries into homogenous clusters. The Data Envelopment Analysis (DEA-) based model was then used for producing a new ranking of participating teams acceptable as “fair” by the majority of participants.
Self-organising map methods in integrated modelling of environmental and economic systems
Shanmuganathan, Sallis, Buckeridge (2006) in Environmental Modelling & Software 21(9):1247-1256
The paper elaborates on how self-organizing map methodologies using Viscovery SOMine within the connectionist paradigms of artificial neural networks could be applied to disparate data analysis at two different scales of environmental and economic systems: regional (using river-water quality monitoring data to evaluate ecosystem response to human influence) and global (for modeling of environmental and economic system data and trade-off analysis) within an integrated framework to inform sustainable environment management.
Segmenting the market of West Australian senior tourists using an artificial neural network
Kim, Wie and Ruys (2003) Tourism Management 24(1):25-34
Using neural networks is one way to determine what trade-offs older travelers make as they decide their travel plans. This paper presents a descriptive analysis of neural network methodology and provides a research technique that assesses the weighting of different attributes and uses an unsupervised neural network model created by Viscovery SOMine to describe a consumer-product relationship. The model is nonlinear and does not require the same restrictive assumptions about the relationship between the independent variables and dependent variables..
An economic analysis of government transfers with Viscovery SOMine (Japanese language)
Aiko, Yu, Hiroshi and Satomi (2000) Faji Shisutemu Shinpojiumu Koen Ronbunshu 16:403-404
Using Viscovery SOMine, we analyzed financial transfers from the central government to local governments.
Self-Organizing Patterns in World Poverty using multiple indicators of poverty, repression and corruption
Deboeck (2000) Neural Network World 10(1-2):239-254
This paper maps world poverty based on multi-dimensions of poverty. These global maps are based on a well-established neural network algorithm implemented in the software tool Viscovery SOMine. They show world poverty based on similarity and dissimilarity in poverty structures.
