genza mining machinery

Mark Hall - Google Scholar Citations- genza mining machinery ,Data Mining: Practical machine learning tools and techniqu IH Witten, E Frank , Correlation-based feature selection for machine learning MA Hall , Benchmarking attribute selection techniques for discrete class data mining M Hall, G.Stan Matwin - Google Scholar CitationsMachine learning for the detection of oil spills in satellite radar imag M Kubat, RC Holte, S Matwin Machine learning 30 , Data mining for prediction of aircraft component replacement S L tourneau, F Famili, S Matwin Special Issue o.



Phased Array Mining Haul Truck Wheel Hub Inspection - Olympus

Wheel hubs are critical components in heavy haul trucks and other heavy machinery Failure at the mine site or while transporting can be costly or a safety hazard Phased Array ultrasound offers a good tool to be able to investigate these c.

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Cynthia Rudin - Google Scholar Citations

Machine learning for the New York City power gr C Rudin, D Waltz, RN Anderson, , A hierarchical model for association rule mining of sequential events: An approach to automated medical symptom prediction T McCormick, C Rudin,,.

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Claudia Antunes - Google Scholar Citations

249, 2001 Generalization of pattern-growth methods for sequential pattern mining with gap constraints C Antunes, AL Oliveira Machine Learning and Data Mining in Pattern Recognition 2734, 239-251, 2003 76, 2003 Sequential pattern mining.

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Genza Mining Skills & Machine Operator Training Rustenburg, North ,

WE ARE THE BEST OF THE BEST FOR THE MINING INDUSTRY CHAMBERS BOARD FOR PRODUCING QUALITY OPERATORS AND MINING ENGINEERS TRAINED OPERATORS THEY TAKE CARE OF THE MACHINE AND INCREASES,.

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dump truck operator training at genza mining skills and machine ,

15 Jul 2015 , SHARE!!!! SHARE!!!! SHARE!!!! We offer Accredited training and our FULL COURSE LIST AND FREE ACCOMMODATION are AVAIL,136680383,.

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Mohammed J Zaki - Google Scholar Citations

SPADE: An efficient algorithm for mining frequent sequenc MJ Zaki Machine learning 42 (1-2), 31-60, 2001 1555, 2001 New Algorithms for Fast Discovery of Association Rul MJ Zaki, S Parthasarathy, M Ogihara, W Li KDD 97, 283-286,.

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Xiaoli Fern - Google Scholar Citations

Machine Learning, Data Mining , Rank-loss support instance machines for MIML instance annotation , of ph and nitrogen for enhanced hydrogen production by synechocystis sp pcc 6803 via statistical and machine learning methods,.

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Thomas G rtner - Google Scholar Citations

Cyclic pattern kernels for predictive graph mining T Horv th, T , Support-vector-machine-based ranking significantly improves the effectiveness of similarity searching using 2D fingerprints and multiple reference compounds H Geppert, T.

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Maytal Saar-Tsechansky - Google Scholar Citations

Journal of Machine Learning Research, 2007 133, 2007 Active feature-value acquisition for classifier induction P Melville, M Saar-Tsechansky, F Provost, R Mooney Data Mining, 2004 ICDM'04 Fourth IEEE International Conference on,.

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Foster Provost - Google Scholar Citations

Get another label? improving data quality and data mining using multiple, noisy labelers VS Sheng, F Provost, PG Ipeirotis , Combining Data Mining and Machine Learning for Effective User Profiling T Fawcett, FJ Provost KDD, 8-13, 1996,.

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