An integral Chi2 algorithm for discretization of real value attributes
The ChiMerg algorithm and its extensions have been shown to be efficient and effective for discretization of continuous attributes. However, all these algorithms have a vital drawback, i.e., the sense of probability is not fully carried out in two merged intervals. To overcome this drawback, this pa...
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| creator | Li Zou Deqin Yan Yu Sang |
| description | The ChiMerg algorithm and its extensions have been shown to be efficient and effective for discretization of continuous attributes. However, all these algorithms have a vital drawback, i.e., the sense of probability is not fully carried out in two merged intervals. To overcome this drawback, this paper proposes the Integral Chi2 Algorithm based on the Chi2 algorithm. In the proposed algorithm, the meanings of probability and statistics are associated with criterion of interval merging. Extensive experiments are conducted to evaluate the performance of the proposed algorithm by comparing with existing algorithms. The experimental results show that our algorithm outperforms existing algorithms in overall. |
| doi_str_mv | 10.1109/ICMLC.2012.6359019 |
| format | Conference Proceeding |
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However, all these algorithms have a vital drawback, i.e., the sense of probability is not fully carried out in two merged intervals. To overcome this drawback, this paper proposes the Integral Chi2 Algorithm based on the Chi2 algorithm. In the proposed algorithm, the meanings of probability and statistics are associated with criterion of interval merging. Extensive experiments are conducted to evaluate the performance of the proposed algorithm by comparing with existing algorithms. The experimental results show that our algorithm outperforms existing algorithms in overall.</description><identifier>ISSN: 2160-133X</identifier><identifier>ISBN: 1467314846</identifier><identifier>ISBN: 9781467314848</identifier><identifier>EISBN: 9781467314879</identifier><identifier>EISBN: 1467314870</identifier><identifier>EISBN: 9781467314862</identifier><identifier>EISBN: 1467314862</identifier><identifier>DOI: 10.1109/ICMLC.2012.6359019</identifier><language>eng</language><publisher>IEEE</publisher><subject>Abstracts ; Algorithm design and analysis ; Automation ; Breast ; Chi2 algorithm ; ChiMerg algorithm ; Data mining ; Discretization ; Glass ; Iris recognition ; Machine learning algorithms ; Real value attributes</subject><ispartof>2012 International Conference on Machine Learning and Cybernetics, 2012, Vol.2, p.752-755</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6359019$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6359019$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Li Zou</creatorcontrib><creatorcontrib>Deqin Yan</creatorcontrib><creatorcontrib>Yu Sang</creatorcontrib><title>An integral Chi2 algorithm for discretization of real value attributes</title><title>2012 International Conference on Machine Learning and Cybernetics</title><addtitle>ICMLC</addtitle><description>The ChiMerg algorithm and its extensions have been shown to be efficient and effective for discretization of continuous attributes. However, all these algorithms have a vital drawback, i.e., the sense of probability is not fully carried out in two merged intervals. To overcome this drawback, this paper proposes the Integral Chi2 Algorithm based on the Chi2 algorithm. In the proposed algorithm, the meanings of probability and statistics are associated with criterion of interval merging. Extensive experiments are conducted to evaluate the performance of the proposed algorithm by comparing with existing algorithms. The experimental results show that our algorithm outperforms existing algorithms in overall.</description><subject>Abstracts</subject><subject>Algorithm design and analysis</subject><subject>Automation</subject><subject>Breast</subject><subject>Chi2 algorithm</subject><subject>ChiMerg algorithm</subject><subject>Data mining</subject><subject>Discretization</subject><subject>Glass</subject><subject>Iris recognition</subject><subject>Machine learning algorithms</subject><subject>Real value attributes</subject><issn>2160-133X</issn><isbn>1467314846</isbn><isbn>9781467314848</isbn><isbn>9781467314879</isbn><isbn>1467314870</isbn><isbn>9781467314862</isbn><isbn>1467314862</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kM1Kw0AUhUdUsNa8gG7mBRLnzkzmZ1mC1ULETRfuyk1y046kjUymgj69BevZHD44fIvD2D2IAkD4x1X1WleFFCALo0ovwF-wzFsH2lgF2ll_yW7_QZsrNpNgRA5Kvd-wbJo-xClWa-dhxpaLAw-HRNuIA692QXIctmMMabfn_Rh5F6Y2Ugo_mMJ44GPPI52WXzgciWNKMTTHRNMdu-5xmCg795ytl0_r6iWv355X1aLOgxcpt6LTVsuSlBAGuhKdbMFahS20jshR520phXRaW1M2AhvfEiJBX_YWm0bN2cOfNhDR5jOGPcbvzfkF9QvxJ07K</recordid><startdate>201207</startdate><enddate>201207</enddate><creator>Li Zou</creator><creator>Deqin Yan</creator><creator>Yu Sang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201207</creationdate><title>An integral Chi2 algorithm for discretization of real value attributes</title><author>Li Zou ; Deqin Yan ; Yu Sang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-70d47425e30061d5a82c1773ac1c8ee8ed975202844765b0ab9ceaae1f5f7abb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Abstracts</topic><topic>Algorithm design and analysis</topic><topic>Automation</topic><topic>Breast</topic><topic>Chi2 algorithm</topic><topic>ChiMerg algorithm</topic><topic>Data mining</topic><topic>Discretization</topic><topic>Glass</topic><topic>Iris recognition</topic><topic>Machine learning algorithms</topic><topic>Real value attributes</topic><toplevel>online_resources</toplevel><creatorcontrib>Li Zou</creatorcontrib><creatorcontrib>Deqin Yan</creatorcontrib><creatorcontrib>Yu Sang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li Zou</au><au>Deqin Yan</au><au>Yu Sang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An integral Chi2 algorithm for discretization of real value attributes</atitle><btitle>2012 International Conference on Machine Learning and Cybernetics</btitle><stitle>ICMLC</stitle><date>2012-07</date><risdate>2012</risdate><volume>2</volume><spage>752</spage><epage>755</epage><pages>752-755</pages><issn>2160-133X</issn><isbn>1467314846</isbn><isbn>9781467314848</isbn><eisbn>9781467314879</eisbn><eisbn>1467314870</eisbn><eisbn>9781467314862</eisbn><eisbn>1467314862</eisbn><abstract>The ChiMerg algorithm and its extensions have been shown to be efficient and effective for discretization of continuous attributes. However, all these algorithms have a vital drawback, i.e., the sense of probability is not fully carried out in two merged intervals. To overcome this drawback, this paper proposes the Integral Chi2 Algorithm based on the Chi2 algorithm. In the proposed algorithm, the meanings of probability and statistics are associated with criterion of interval merging. Extensive experiments are conducted to evaluate the performance of the proposed algorithm by comparing with existing algorithms. The experimental results show that our algorithm outperforms existing algorithms in overall.</abstract><pub>IEEE</pub><doi>10.1109/ICMLC.2012.6359019</doi><tpages>4</tpages></addata></record> |
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| subjects | Abstracts Algorithm design and analysis Automation Breast Chi2 algorithm ChiMerg algorithm Data mining Discretization Glass Iris recognition Machine learning algorithms Real value attributes |
| title | An integral Chi2 algorithm for discretization of real value attributes |
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