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» Application of Neural Networks in Financial Data Mining
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ICANN
2005
Springer
14 years 7 days ago
Manifold Constrained Variational Mixtures
In many data mining applications, the data manifold is of lower dimension than the dimension of the input space. In this paper, it is proposed to take advantage of this additional ...
Cédric Archambeau, Michel Verleysen
DMIN
2006
138views Data Mining» more  DMIN 2006»
13 years 8 months ago
Financial Time Series Segmentation based on Specialized Binary Tree Representation
Segmentation is one of the fundamental components in time series data mining. One of the uses of the time series segmentation is trend analysis - to segment the time series into pr...
Tak-Chung Fu, Fu-Lai Chung, Chak-man Ng
ICONIP
2008
13 years 8 months ago
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining
This paper presents a novel and notable swarm approach to evolve an optimal set of weights and architecture of a neural network for classification in data mining. In a distributed ...
Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae...
GIS
2009
ACM
13 years 10 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
KDD
2009
ACM
183views Data Mining» more  KDD 2009»
14 years 1 months ago
Financial incentives and the "performance of crowds"
The relationship between financial incentives and performance, long of interest to social scientists, has gained new relevance with the advent of web-based “crowd-sourcing” mo...
Winter A. Mason, Duncan J. Watts