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A streaming parallel decision tree algorithm Yael Ben-Haim and Elad Yom-Tov IBM Haifa Research Lab, 165 Aba Hushi st., Haifa 31905 , Israel {yaelbh,yomtov}@il.ibm.com ABSTRACT
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San Mateo / Monterrey / Cambridge / London / /

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IBM / Neural Information Processing Systems / Neural Comp. / MIT Press / SPRINT / /

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Carnegie Mellon University / /

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on-line agglomerative clustering method / approximate algorithms / histogram algorithms / streaming parallel decision tree algorithm / decision-tree classification algorithms / streaming algorithms / decision tree algorithms / on-line clustering algorithm / data mining / classification algorithms / histogram building algorithm / update algorithm / parallel classification algorithm / on-line method / decision tree learning algorithms / /

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Linux / /

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Artificial Intelligence on Progress / Elad Yom-Tov IBM Haifa Research Lab / MIT / Carnegie Mellon University / /

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J. Gehrke / V / H. Han / V / Morgan Kaufmann / Yael Ben-Haim / /

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California / Massachusetts / /

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Machine Learning / Journal of Machine Learning Research / /

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alpha / eight processors / update algorithm / 4 processors / parallel classification algorithm / proposed algorithm / decision-tree classification algorithms / artificial intelligence / Nw processors / Linux / 1 processor / SPDT algorithm / 8 processors / SPIES algorithm / MDL-based pruning algorithm / 2 processors / classification algorithms / on-line clustering algorithm / Data Mining / decision tree algorithms / streaming parallel decision tree algorithm / Machine Learning / decision tree learning algorithms / histogram algorithms / histogram building algorithm / Parallel Processing / eight processor / /

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