Sciweavers

AI
2011
Springer
13 years 6 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
PSD
2010
Springer
180views Database» more  PSD 2010»
13 years 9 months ago
Some Additional Insights on Applying Differential Privacy for Numeric Data
Recently Sarathy and Muralidhar (2009) provided the first attempt at illustrating the implementation of differential privacy for numerical data. In this paper, we attempt to provid...
Rathindra Sarathy, Krishnamurty Muralidhar
TVCG
2002
132views more  TVCG 2002»
13 years 11 months ago
Hierarchical Pixel Bar Charts
Simple presentation graphics are intuitive and easy-to-use, but only show highly aggregated data. Bar charts, for example, only show a rather small number of data values and x-y-pl...
Daniel A. Keim, Ming C. Hao, Umeshwar Dayal
AAAI
1990
14 years 18 days ago
A Proven Domain-Independent Scientific Function-Finding Algorithm
Programs such as Bacon, Abacus, Coper, Kepler and others are designed to find functional relationships of scientific significance in numerical data without relying on the deep dom...
Cullen Schaffer
IDEAL
2000
Springer
14 years 3 months ago
A Note on Covariances for Categorical Data
Generalization of the covariance concept is discussed for mixed categorical and numerical data. Gini's definition of variance for categorical data gives us a starting point to...
Takashi Okada
IV
2002
IEEE
104views Visualization» more  IV 2002»
14 years 4 months ago
An Environment for Studying the Impact of Spatialising Sonified Graphs on Data Comprehension
We describe AudioCave, an environment for exploring the impact of spatialising sonified graphs on a set of numerical data comprehension tasks. Its design builds on findings regard...
Rameshsharma Ramloll, Stephen A. Brewster
ISDA
2006
IEEE
14 years 5 months ago
Finding Groups in Data: Cluster Analysis with Ants
We present in this paper a modification of Lumer and Faieta’s algorithm for data clustering. This algorithm discovers automatically clusters in numerical data without prior kno...
Urszula Boryczka
INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
14 years 5 months ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici
WSOM
2009
Springer
14 years 6 months 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