Lior Rokach

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Lior Rokach



Average rating: 3.58 · 24 ratings · 3 reviews · 19 distinct works
Recommender Systems Handbook

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4.28 avg rating — 39 ratings — published 2010 — 13 editions
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Proactive Data Mining with ...

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3.40 avg rating — 5 ratings — published 2014 — 6 editions
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DATA MINING WITH DECISION T...

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3.40 avg rating — 5 ratings — published 2007 — 6 editions
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Data Mining and Knowledge D...

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3.50 avg rating — 4 ratings — published 2005 — 5 editions
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Recommender Systems Handbook

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really liked it 4.00 avg rating — 2 ratings
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A Survey of Data Leakage De...

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3.50 avg rating — 2 ratings — published 2012 — 4 editions
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Ensemble Learning: Pattern ...

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DECOMPOSITION METHODOLOGY F...

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liked it 3.00 avg rating — 2 ratings — published 2005 — 3 editions
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Machine Learning for Data S...

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Cluster Analysis: A Primer ...

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“A less common strategy for manipulating the search space is to manipulate the input attribute set. Feature subset-based ensemble methods are those that manipulate the input feature set in order to create the ensemble members. The idea is simply to give each classifier a different projection of the training set.”
Lior Rokach, Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition)



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