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AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 9 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
IJON
2006
78views more  IJON 2006»
15 years 5 months ago
Improving self-organization of document collections by semantic mapping
In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning algorithms. This paper de...
Renato Fernandes Corrêa, Teresa Bernarda Lud...
NLUCS
2008
15 years 6 months ago
Limits of Lexical Semantic Relatedness with Ontology-based Conceptual Vectors
Conceptual vectors can be used to represent thematic aspects of text segments, which allow for the computation of semantic relatedness. We study the behavior of conceptual vectors ...
Lim Lian Tze, Didier Schwab
WSOM
2009
Springer
16 years 3 hour ago
Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map
The complex phenomena of political science are typically studied using qualitative approach, potentially supported by hypothesisdriven statistical analysis of some numerical data. ...
Pyry Niemelä, Timo Honkela
COLING
2010
15 years 12 days ago
Mining Large-scale Comparable Corpora from Chinese-English News Collections
In this paper, we explore a CLIR-based approach to construct large-scale Chinese-English comparable corpora, which is valuable for translation knowledge mining. The initial source...
Degen Huang, Lian Zhao, Lishuang Li, Haitao Yu