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HCI
2009
13 years 9 months ago
A Tool for Analyzing Categorical Data Visually with Granular Representation
Categorical data appears in various places, and dealing with it has been a major concern in analysis fields. However, representing not only global trends but also local trends of d...
Kousuke Shiraishi, Kazuo Misue, Jiro Tanaka
SCFBM
2008
119views more  SCFBM 2008»
13 years 11 months ago
Permutation - based statistical tests for multiple hypotheses
Background: Genomics and proteomics analyses regularly involve the simultaneous test of hundreds of hypotheses, either on numerical or categorical data. To correct for the occurre...
Anyela Camargo, Francisco Azuaje, Haiying Wang, Hu...
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
FSS
2008
130views more  FSS 2008»
13 years 11 months ago
A fuzzy k-partitions model for categorical data and its comparison to the GoM model
The grade of membership (GoM) model uses fuzzy sets as memberships of each individual to extreme profiles (or classes) on the likelihood function of multivariate multinomial distr...
Miin-Shen Yang, Yu-Hsuan Chiang, Chiu-Chi Chen, Ch...
CSDA
2008
116views more  CSDA 2008»
13 years 11 months ago
High-dimensional data visualisation: The textile plot
The textile plot is a parallel coordinate plot in which the ordering, locations and scales of the axes are simultaneously chosen so that the connecting lines, each of which repres...
Natsuhiko Kumasaka, Ritei Shibata
CSDA
2010
194views more  CSDA 2010»
13 years 11 months ago
A clipped latent variable model for spatially correlated ordered categorical data
We propose a model for a point-referenced spatially correlated ordered categorical response and methodology for estimation of model parameters. Models and methods for spatially co...
Megan Dailey Higgs, Jennifer A. Hoeting
PARMA
2004
191views Database» more  PARMA 2004»
14 years 24 days ago
Identifying Most Predictive Items
Abstract. Frequent itemsets and association rules are generally accepted concepts in analyzing item-based databases. The Apriori-framework was developed for analyzing categorical d...
Markus Wawryniuk, Daniel A. Keim
SDM
2008
SIAM
158views Data Mining» more  SDM 2008»
14 years 26 days ago
Similarity Measures for Categorical Data: A Comparative Evaluation
Measuring similarity or distance between two entities is a key step for several data mining and knowledge discovery tasks. The notion of similarity for continuous data is relative...
Shyam Boriah, Varun Chandola, Vipin Kumar
HIS
2008
14 years 26 days ago
Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning
This paper addresses the application of a PCA analysis on categorical data prior to diagnose a patients data set using a Case-Based Reasoning (CBR) system. The particularity is th...
Carles Pous, Dani Caballero, Beatriz López
IPMU
2010
Springer
14 years 1 months ago
On Nonparametric Predictive Inference for Ordinal Data
Abstract. Nonparametric predictive inference (NPI) is a powerful frequentist statistical framework based only on an exchangeability assumption for future and past observations, mad...
Frank P. A. Coolen, Pauline Coolen-Schrijner, Taha...