Sciweavers

255 search results - page 33 / 51
» Toward knowledge-rich data mining
Sort
View
126
Voted
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
16 years 4 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu
139
Voted
ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
15 years 1 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
120
Voted
ISIP
2008
IEEE
15 years 10 months ago
An Approach Towards the Integration of Adaptive Business Intelligent and Constraint Programming
Adaptive Business Intelligence is the discipline that combines prediction, optimization and adaptability into a system answering two important questions: What would probably happe...
José Miguel Rubio, Broderick Crawford
112
Voted
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 9 months ago
Towards clustering with XCS
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
Kreangsak Tamee, Larry Bull, Ouen Pinngern
142
Voted
PKDD
2007
Springer
76views Data Mining» more  PKDD 2007»
15 years 9 months ago
Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning
Machine learning research often has a large experimental component. While the experimental methodology employed in machine learning has improved much over the years, repeatability ...
Hendrik Blockeel, Joaquin Vanschoren