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» Challenges in Visual Data Analysis
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DAWAK
2007
Springer
16 years 22 days ago
Mining Top-K Multidimensional Gradients
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
Ronnie Alves, Orlando Belo, Joel Ribeiro
VIS
2003
IEEE
121views Visualization» more  VIS 2003»
16 years 7 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...
PDP
2002
IEEE
15 years 11 months ago
Scalable Monitoring and Configuration Tools for Grids and Clusters
We present the Ka-admin project that addresses the problem of collecting, visualizing and feeding back any grid information, trace or snapshot, compliant to an XML-like model. Rea...
Philippe Augerat, Cyrill Martin, Benhur Stein
CANDT
2009
15 years 10 months ago
Analyzing (social media) networks with NodeXL
We present NodeXL, an extendible toolkit for network overview, discovery and exploration implemented as an add-in to the Microsoft Excel 2007 spreadsheet software. We demonstrate ...
Marc A. Smith, Ben Shneiderman, Natasa Milic-Frayl...
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
16 years 6 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar