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A year and a half ago, at a symposium at M.I.T., Chomsky said, somewhat flippantly, that he didn't think that statistical data mining approaches to language had contributed significantly to our understanding of how language worked.
For this reason, we can use data mining approaches to acquire the objective source.
Nowadays, the using of intelligent data mining approaches to predict intrusion in local area networks has been increasing rapidly.
Ground pressure consists of gravity stress and tectonic stress: sigma_{text{s1}} = gamma H + lambda gamma H = (1 + lambda )gamma H (6). Abutment stress is expressed as: sigma_{text{s2}} = (k - 1 gamma H (7). In particular, when mining approaches to faults, the rockburst induced by fault slipping takes a dominant position.
To the best of our knowledge, this is the first attempt in applying mining approaches to explore gene switches on a genome-scale.
To the best of our knowledge, this is the first attempt at applying mining approaches to explore gene switches on a genome-scale.
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In standard data mining approach to text categorization, documents represent as bag-of-word vectors.
In this paper we propose a text mining approach to extract bilingual multiword expression.
In this paper, we propose a utility based itemset mining approach to overcome this limitation.
Motivated by this idea, this paper introduces a weighted fuzzy association rules mining approach to discovering correlated alarm sequences.
Wang in [2] uses a supervised data mining approach to find the sentiment of messages in the StockTwits dataset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com