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Data Mining Applications Data Mining Applications

Data Mining Applications - PowerPoint Presentation

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Data Mining Applications - PPT Presentation

in Robotics Engineering Blink Sakulkueakulsuk D Wilking and T Rofer Realtime Object Recognition Using Decision Tree Learning 2005 http wwwinformatikunibremendekogrobpapersrc05objectrecognitionpd ID: 675243

page data mining ref data page ref mining robot robotics http clustering association pursuit invariants decision learning cooperative robots means laser range

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Presentation Transcript

Slide1

Data Mining Applicationsin Robotics Engineering

Blink

SakulkueakulsukSlide2

D.

Wilking

, and T. Rofer, Realtime Object Recognition Using Decision Tree Learning, 2005 http://www.informatik.uni-bremen.de/kogrob/papers/rc05-objectrecognition.pdJ. Li, Q. Pan, and B. Hong, A New Approach of Multi-robot Cooperative Pursuit Based on Association Rule Data Mining, 2009 http://cdn.intechopen.com/pdfs-wm/6967.pdfA. Ravankar, Y. Hoshino, T. Emaru, and Y. Kobayashi, Robot Mapping Using k-means Clustering Of Laser Range Sensor Data, 2012 http://bncss.org/index.php/bncss/article/view/2/2H. Lipson, Mining experimental data for dynamical invariants - from cognitive robotics to computational biology, 2010 http://videolectures.net/ecmlpkdd2010_lipson_med/

ReferencesSlide3

Interdisciplinary FieldRBE = ME + EE + CS

Computer Science components

Computer VisionArtificial IntelligenceMachine LearningDATA MINING!!!What is Robotics Engineering?Slide4

Realtime Object Recognition Using Decision Tree Learning

DM: Decision Trees

From Ref.1 page 2Slide5

From Ref.1 page 3Slide6

Robot Mapping Using k-means Clustering Of Laser Range Sensor DataCreate a map of the environment

DM: Clustering

From Ref.3 page 2Slide7

From Ref.3 page 2-3Slide8

Not good with noise.

Clustering Limitations

From Ref.3 page 3Slide9

Association RulesMulti-robot Cooperative Pursuit Based on Association Rule Data Mining

The robots try to pursuit a target. Using association rules, the robots form a group.

Other applicationsMining experimental data for dynamical invariants - from cognitive robotics to computational biologyInvariants = Something that is constant in the systemFinding invariants = using unsupervised learning to find patternsOther DM Applications