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» Data Mining: Machine Learning, Statistics, and Databases
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ICDM
2009
IEEE
165views Data Mining» more  ICDM 2009»
13 years 5 months ago
Audio Classification of Bird Species: A Statistical Manifold Approach
Our goal is to automatically identify which species of bird is present in an audio recording using supervised learning. Devising effective algorithms for bird species classificati...
Forrest Briggs, Raviv Raich, Xiaoli Z. Fern
PRL
2011
12 years 10 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
14 years 23 days ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
14 years 1 months ago
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases
Constraints applied on classic frequent patterns are too strict and may cause interesting patterns to be missed. Hence, researchers have proposed to mine a more relaxed version of...
Ardian Kristanto Poernomo, Vivekanand Gopalkrishna...
ESANN
2006
13 years 8 months ago
Visual Data Mining and Machine Learning
Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
Fabrice Rossi