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» Large Scale Data Mining: Challenges and Responses
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ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
15 years 11 months ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
IV
2006
IEEE
149views Visualization» more  IV 2006»
15 years 12 months ago
Challenges in Visual Data Analysis
In today’s applications data is produced at unprecedented rates. While the capacity to collect and store new data rapidly grows, the ability to analyze these data volumes increa...
Daniel A. Keim, Florian Mansmann, Jörn Schnei...
SGAI
2009
Springer
16 years 14 days ago
Parallel Rule Induction with Information Theoretic Pre-Pruning
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
Frederic T. Stahl, Max Bramer, Mo Adda
DEXA
2005
Springer
148views Database» more  DEXA 2005»
15 years 11 months ago
XG: A Data-Driven Computation Grid for Enterprise-Scale Mining
In this paper we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. We show how such an architecture can be le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Wen-...
ADC
2008
Springer
110views Database» more  ADC 2008»
16 years 9 days ago
Graph Mining based on a Data Partitioning Approach
Existing graph mining algorithms typically assume that the dataset can fit into main memory. As many large graph datasets cannot satisfy this condition, truly scalable graph minin...
Son N. Nguyen, Maria E. Orlowska, Xue Li