Sciweavers

HCI
2007
13 years 5 months ago
Mixing Evaluation Methods for Assessing the Utility of an Interactive InfoVis Technique
Abstract. We describe the results of an empirical study comparing an interactive Information Visualization (InfoVis) technique called Gravi++ (GRAVI), Exploratory Data Analysis (ED...
Markus Rester, Margit Pohl, Sylvia Wiltner, Klaus ...
SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
13 years 5 months ago
Evaluating Query Result Significance in Databases via Randomizations
Many sorts of structured data are commonly stored in a multi-relational format of interrelated tables. Under this relational model, exploratory data analysis can be done by using ...
Markus Ojala, Gemma C. Garriga, Aristides Gionis, ...
KDD
1997
ACM
143views Data Mining» more  KDD 1997»
13 years 7 months ago
Anytime Exploratory Data Analysis for Massive Data Sets
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
Padhraic Smyth, David Wolpert
IUI
1997
ACM
13 years 7 months ago
Interaction with a Mixed-Initiative System for Exploratory Data Analysis
Exploratory data analysis (EDA) plays an increasingly important role in statistical analysis. EDA is di cult, however, even with the help of modern statistical software. We have d...
Robert St. Amant, Paul R. Cohen
ICML
2000
IEEE
13 years 8 months ago
Mutual Information in Learning Feature Transformations
We present feature transformations useful for exploratory data analysis or for pattern recognition. Transformations are learned from example data sets by maximizing the mutual inf...
Kari Torkkola, William M. Campbell
GECCO
2004
Springer
138views Optimization» more  GECCO 2004»
13 years 9 months ago
Exploratory Data Analysis with Interactive Evolution
We illustrate with two simple examples how Interactive Evolutionary Computation (IEC) can be applied to Exploratory Data Analysis (EDA). IEC is particularly valuable in an EDA cont...
Sergey Malinchik, Eric Bonabeau
MDAI
2007
Springer
13 years 9 months ago
Lindig's Algorithm for Concept Lattices over Graded Attributes
Formal concept analysis (FCA) is a method of exploratory data analysis. The data is in the form of a table describing relationship between objects (rows) and attributes (columns), ...
Radim Belohlávek, Bernard De Baets, Jan Out...
IV
2007
IEEE
160views Visualization» more  IV 2007»
13 years 10 months ago
Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Joe Faith
IV
2007
IEEE
144views Visualization» more  IV 2007»
13 years 10 months ago
Evaluating an InfoVis Technique Using Insight Reports
The evaluation of Information Visualization (InfoVis) techniques can help to identify specific strengths and weaknesses of these methods. The following article describes the resu...
Markus Rester, Margit Pohl, Sylvia Wiltner, Klaus ...
ALT
2001
Springer
14 years 18 days ago
Inventing Discovery Tools: Combining Information Visualization with Data Mining
The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the impor...
Ben Shneiderman