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» Image Mining: Issues, Frameworks and Techniques
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CCGRID
2009
IEEE
14 years 2 days ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
DKE
2006
157views more  DKE 2006»
13 years 5 months ago
XML structural delta mining: Issues and challenges
Recently, there is an increasing research efforts in XML data mining. These research efforts largely assumed that XML documents are static. However, in reality, the documents are ...
Qiankun Zhao, Ling Chen 0002, Sourav S. Bhowmick, ...
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 5 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
ICMCS
2007
IEEE
190views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Video Event Detection with Combined Distance-Based and Rule-Based Data Mining Techniques
In this paper, the rare event detection issue in video event detection is addressed through the proposed data mining framework which can be generalized to be domain independent. T...
Zongxing Xie, Mei-Ling Shyu, Shu-Ching Chen
OOPSLA
2004
Springer
13 years 10 months ago
A framework for detecting, assessing and visualizing performance antipatterns in component based systems
Component-based enterprise systems often suffer from performance issues as a result of poor system design. In this paper, we propose a framework to automatically detect, assess an...
Trevor Parsons