Discretization of continuous features: Difference between revisions

Browse history interactively

← Previous edit

Content deleted Content added

VisualWikitext

Revision as of 01:32, 4 March 2017 edit CitationCleanerBot (talk \| contribs) Bots 66,146 edits m →top: replace id={{foobar\|...}} with \|foobar=..., Report bugs, errors, and suggestions at User talk:CitationCleanerBot. ← Previous edit		Latest revision as of 19:07, 17 January 2024 edit undo BD2412 (talk \| contribs) Autopatrolled, Administrators 2,529,125 edits m →top: clean up spacing around commas and other punctuation fixes, replaced: ; → ; Tag: AWB
(6 intermediate revisions by 5 users not shown)
Line 8: \| journal = International Journal of Intelligent Systems \| volume = 15 \| pages = 6161–92 \| year = 2000 \| pmid = Line 16: </ref> Mechanisms for discretizing continuous data include [[Usama Fayyad\|Fayyad]] & Irani's MDL method,<ref>Fayyad, Usama M.; Irani, Keki B. (1993) {{cite web\|hdl=2014/35171 \| url = https://www.ijcai.org/Proceedings/93-2/Papers/022.pdf \| title = Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning\| date = 29 July 2023 }}, ''~~Proceedings~~Proc. of13th ~~the International~~Int. Joint ~~Conference~~Conf. on ~~Uncertainty in~~Artificial AIIntelligence'' (Q334 .I571 1993), pp. 1022-1027</ref> which uses [[mutual information]] to recursively define the best bins, CAIM, CACC, Ameva, and many others<ref>Dougherty, J.; Kohavi, R. ; Sahami, M. (1995). "[http://robotics.stanford.edu/users/sahami/papers-dir/disc.pdf Supervised and Unsupervised Discretization of Continuous Features]". In A. Prieditis & S. J. Russell, eds. ''Work''. Morgan Kaufmann, pp. 194-202</ref> Many machine learning algorithms are known to produce better models by discretizing continuous attributes.<ref>{{cite journal~~\|url=http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.109.3084&rep=rep1&type=pdf~~ \| first1=S. \|last1=Kotsiantis \|first2= D\| last2= Kanellopoulos \|title=Discretization Techniques: A recent survey\|journal= GESTS International Transactions on Computer Science and Engineering \|volume=32 \|issue=1 \|year=2006 \|pages= 47–58\|citeseerx = 10.1.1.109.3084}}</ref> == Software == This is a partial list of software that implement MDL algorithm. * [https://gforge.inria.fr/projects/discretize4crf discretize4crf] tool designed to work with popular [[Conditional random field\|CRF]] implementations ([[C++]]) * [https://cran.r-project.org/web/packages/discretization/discretization.pdf mdlp] in the R package ~~discretize~~discretization * [https://cran.r-project.org/web/packages/RWeka/RWeka.pdf Discretize] in the R package RWeka