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» Pitfalls in Aspect Mining
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ICDM
2006
IEEE
92views Data Mining» more  ICDM 2006»
14 years 1 months ago
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams
Data stream values are often associated with multiple aspects. For example, each value from environmental sensors may have an associated type (e.g., temperature, humidity, etc) as...
Jimeng Sun, Spiros Papadimitriou, Philip S. Yu
DMIN
2006
132views Data Mining» more  DMIN 2006»
13 years 9 months ago
An Overview of Associative Classifiers
Abstract-- Associative classification is a new classification approach integrating association mining and classification. It becomes a significant tool for knowledge discovery and ...
Yanmin Sun, Andrew K. C. Wong, Yang Wang 0007
ACL
2012
11 years 10 months ago
A Novel Burst-based Text Representation Model for Scalable Event Detection
Mining retrospective events from text streams has been an important research topic. Classic text representation model (i.e., vector space model) cannot model temporal aspects of d...
Xin Zhao, Rishan Chen, Kai Fan, Hongfei Yan, Xiaom...
WSE
2005
IEEE
14 years 1 months ago
Crosscutting Concerns in J2EE Applications
We explore the evolution benefits of adopting aspects in a J2EE setting by studying crosscutting concerns in a typical J2EE application. To identify these concerns, we take a top...
Ali Mesbah, Arie van Deursen
FLAIRS
2006
13 years 9 months ago
Improving Modularity in Genetic Programming Using Graph-Based Data Mining
We propose to improve the efficiency of genetic programming, a method to automatically evolve computer programs. We use graph-based data mining to identify common aspects of highl...
Istvan Jonyer, Akiko Himes