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» A Generalization of the Massey-Ding Algorithm
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 9 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
141
Voted
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
15 years 9 months ago
Key semantics extraction by dependency tree mining
We propose a new text mining system which extracts characteristic contents from given documents. We define Key semantics as characteristic sub-structures of syntactic dependencie...
Satoshi Morinaga, Hiroki Arimura, Takahiro Ikeda, ...
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
15 years 9 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 9 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
LCTRTS
2005
Springer
15 years 9 months ago
Complementing software pipelining with software thread integration
Software pipelining is a critical optimization for producing efficient code for VLIW/EPIC and superscalar processors in highperformance embedded applications such as digital sign...
Won So, Alexander G. Dean
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