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Data Mining
TRIPPER: Rule learning using taxonomies
Toward Automated Discovery in the Biological Sciences
Time series prediction by estimating Markov probabilities through topology preserving maps
Mining of Association Relations in Text Gleb Sizov, Pinar ¨ Ozt¨urk
Mining Massive Datasets
mining event data for actionable patterns
mining dataset
Minimising Positional Errors in Line Simplification Using Adaptive Tolerance Values ISPRS IGU
mine associations
Methods for Exploring and Mining Tables on Wikipedia
Mercury Inventory Toolkit - Guideline for Inventory Level 1
Lecture 20 - The University of Texas at Dallas
Lec 15
Learning from Little: Comparison of Classifiers Given Little Training
Learning First-Order Probabilistic Models with Combining Rules
Learning Approximate Sequential Patterns for Classification Please share
Learning a Kernel for Multi-Task Clustering
More data means less inference: A pseudo-max approach to structured learning
Monitoring-systematic collection of data Evaluation-use of data to make decisions regarding
Module specification template
Modern Database Applications
lookout wp
Log Mining: Via Sacra
Localized Centering: Reducing Hubness in Large-Sample Data Kazuo Hara Ikumi Suzuki Masashi Shimbo
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