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» Sequential skewing: an improved skewing algorithm
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ADC
2007
Springer
145views Database» more  ADC 2007»
15 years 3 months ago
Selectivity Estimation by Batch-Query based Histogram and Parametric Method
Histograms are used extensively for selectivity estimation and approximate query processing. Workloadaware dynamic histograms can self-tune itself based on query feedback without ...
Jizhou Luo, Xiaofang Zhou, Yu Zhang, Heng Tao Shen...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 3 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
PKDD
2005
Springer
94views Data Mining» more  PKDD 2005»
15 years 3 months ago
Visual Terrain Analysis of High-Dimensional Datasets
Abstract. Most real-world datasets are, to a certain degree, skewed. When considered that they are also large, they become the pinnacle challenge in data analysis. More importantly...
Wenyuan Li, Kok-Leong Ong, Wee Keong Ng
DL
2000
Springer
173views Digital Library» more  DL 2000»
15 years 1 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
KDD
2010
ACM
275views Data Mining» more  KDD 2010»
15 years 1 months ago
Combined regression and ranking
Many real-world data mining tasks require the achievement of two distinct goals when applied to unseen data: first, to induce an accurate preference ranking, and second to give g...
D. Sculley