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» An Empirical Comparison of Four Text Mining Methods
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PAISI
2009
Springer
15 years 6 months ago
Discovering Compatible Top-K Theme Patterns from Text Based on Users' Preferences
Discovering a representative set of theme patterns from a large amount of text for interpreting their meaning has always been concerned by researches of both data mining and inform...
Yongxin Tong, Shilong Ma, Dan Yu, Yuanyuan Zhang, ...
AAAI
2000
15 years 1 months ago
Performance Comparison of Landmark Recognition Systems for Navigating Mobile Robots
Self-localisation is an essential competence for mobile robot navigation. Due to the fundamental unreliability of dead reckoning, a robot must depend on its perception of external...
Tom Duckett, Ulrich Nehmzow
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
16 years 1 days ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang
3DIM
2001
IEEE
15 years 3 months ago
Range Image Registration: A Software Platform and Empirical Evaluation
Building 3D models of real-world objects by assembling views taken by a range sensor promises to be a more efficient method than manually producing CAD drawings. In this technique...
Gerald Dalley, Patrick J. Flynn
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
16 years 1 days ago
Scaling up text classification for large file systems
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
George Forman, Shyamsundar Rajaram