The research of outlier data cleaning based on accelerating method
During the data integration process, it puts forward the accelerating trend comparison method to deal with the outlier data in this paper. Namely outlier data is discovered through the accelerating trend comparison. At the end of this article, it gives a specific description of the algorithm of outl...
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| creator | Wang Heyong Li Mingjian Chen Bingchuan |
| description | During the data integration process, it puts forward the accelerating trend comparison method to deal with the outlier data in this paper. Namely outlier data is discovered through the accelerating trend comparison. At the end of this article, it gives a specific description of the algorithm of outlier data cleaning results. It can improve the detection of outlier data and the data quality through the experiments. |
| doi_str_mv | 10.1109/ICIME.2010.5477757 |
| format | Conference Proceeding |
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It can improve the detection of outlier data and the data quality through the experiments.</description><subject>Acceleration</subject><subject>Cleaning</subject><subject>Clustering algorithms</subject><subject>Data Cleaning</subject><subject>Educational institutions</subject><subject>Explosives</subject><subject>Extraterrestrial measurements</subject><subject>Information technology</subject><subject>Object detection</subject><subject>Outlier Data</subject><subject>Space technology</subject><subject>Sun</subject><subject>Trend Comparison</subject><isbn>9781424452637</isbn><isbn>1424452635</isbn><isbn>9781424452651</isbn><isbn>1424452651</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMFOwzAQRI1QJaDkB-DiH0jxxl47PkJVSqQiLrlXG2dDgtIEOeHA3xNEL8xl9GakOYwQd6A2AMo_FNvidbfJ1MJonHPoLkTiXQ4mMwYzi3D5j7VbiZtMKe81IqgrkUzTh1q0lE7Za_FUtiwjT0wxtHJs5Pg19x1HWdNMMvRMQze8y4omruU4SAqBe440_6YnntuxvhWrhvqJk7OvRfm8K7cv6eFtX2wfD2nn1Zw2BmzA3CLmkBO4hoyjOgtcVRZDqDwoiw6IK2BjtPZNDYw520YzESq9Fvd_sx0zHz9jd6L4fTy_oH8AU-JN9w</recordid><startdate>201004</startdate><enddate>201004</enddate><creator>Wang Heyong</creator><creator>Li Mingjian</creator><creator>Chen Bingchuan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201004</creationdate><title>The research of outlier data cleaning based on accelerating method</title><author>Wang Heyong ; Li Mingjian ; Chen Bingchuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-f416c58655818a17fa47ad2cebb65ccb9106571aeb1e44339fd1e58e6f3eaa503</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Acceleration</topic><topic>Cleaning</topic><topic>Clustering algorithms</topic><topic>Data Cleaning</topic><topic>Educational institutions</topic><topic>Explosives</topic><topic>Extraterrestrial measurements</topic><topic>Information technology</topic><topic>Object detection</topic><topic>Outlier Data</topic><topic>Space technology</topic><topic>Sun</topic><topic>Trend Comparison</topic><toplevel>online_resources</toplevel><creatorcontrib>Wang Heyong</creatorcontrib><creatorcontrib>Li Mingjian</creatorcontrib><creatorcontrib>Chen Bingchuan</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>Wang Heyong</au><au>Li Mingjian</au><au>Chen Bingchuan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The research of outlier data cleaning based on accelerating method</atitle><btitle>2010 2nd IEEE International Conference on Information Management and Engineering</btitle><stitle>ICIME</stitle><date>2010-04</date><risdate>2010</risdate><spage>153</spage><epage>155</epage><pages>153-155</pages><isbn>9781424452637</isbn><isbn>1424452635</isbn><eisbn>9781424452651</eisbn><eisbn>1424452651</eisbn><abstract>During the data integration process, it puts forward the accelerating trend comparison method to deal with the outlier data in this paper. Namely outlier data is discovered through the accelerating trend comparison. At the end of this article, it gives a specific description of the algorithm of outlier data cleaning results. It can improve the detection of outlier data and the data quality through the experiments.</abstract><pub>IEEE</pub><doi>10.1109/ICIME.2010.5477757</doi><tpages>3</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acceleration Cleaning Clustering algorithms Data Cleaning Educational institutions Explosives Extraterrestrial measurements Information technology Object detection Outlier Data Space technology Sun Trend Comparison |
| title | The research of outlier data cleaning based on accelerating method |
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