<?xml version="1.0" encoding="utf-8" ?> <rss version="2.0" xmlns:opensearch="http://a9.com/-/spec/opensearch/1.1/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"> <channel> <title> <![CDATA[Biblical Seminary of the Philippines Search for 'su:{Data mining.}']]> </title> <link> http://209.38.24.71//cgi-bin/koha/opac-search.pl?q=ccl=su%3A%7BData%20mining.%7D&#38;sort_by=relevance&#38;format=rss </link> <atom:link rel="self" type="application/rss+xml" href="http://209.38.24.71//cgi-bin/koha/opac-search.pl?q=ccl=su%3A%7BData%20mining.%7D&#38;sort_by=relevance&#38;format=rss"/> <description> <![CDATA[ Search results for 'su:{Data mining.}' at Biblical Seminary of the Philippines]]> </description> <opensearch:totalResults>2</opensearch:totalResults> <opensearch:startIndex>0</opensearch:startIndex> <opensearch:itemsPerPage>50</opensearch:itemsPerPage> <atom:link rel="search" type="application/opensearchdescription+xml" href="http://209.38.24.71//cgi-bin/koha/opac-search.pl?q=ccl=su%3A%7BData%20mining.%7D&#38;sort_by=relevance&#38;format=opensearchdescription"/> <opensearch:Query role="request" searchTerms="q%3Dccl%3Dsu%253A%257BData%2520mining.%257D" startPage="" /> <item> <title> An introduction to text mining research design, data collection, and analysis / </title> <dc:identifier>ISBN:9781506337005 (acidfree paper)</dc:identifier> <link>http://209.38.24.71//cgi-bin/koha/opac-detail.pl?biblionumber=51508</link> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/1506337007.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> By Ignatow, Gabe,.<br /> Los Angeles : SAGE, 2018 .<br /> 396 pages ; 24 cm.<br /> 9781506337005 (acidfree paper) </p> ]]> <![CDATA[ <p> <a href="http://209.38.24.71//cgi-bin/koha/opac-reserve.pl?biblionumber=51508">Place hold on <em>An introduction to text mining </em></a> </p> ]]> </description> <guid>http://209.38.24.71//cgi-bin/koha/opac-detail.pl?biblionumber=51508</guid> </item> <item> <title> Deep reinforcement learning fundamentals, research and applications / </title> <dc:identifier>ISBN:9789811540950 | 9789811540943</dc:identifier> <link>http://209.38.24.71//cgi-bin/koha/opac-detail.pl?biblionumber=51552</link> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/9811540950.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> Singapore : Springer Singapore : 2020 .<br /> 1 online resource (xxvii, 526 pages) : , 2020年臺灣學術電子書暨資料庫聯盟共購共享專案(2020版權年SpringerLink西文電子書資料庫) 24 cm..<br /> 9789811540950 | 9789811540943 </p> ]]> <![CDATA[ <p> <a href="http://209.38.24.71//cgi-bin/koha/opac-reserve.pl?biblionumber=51552">Place hold on <em>Deep reinforcement learning </em></a> </p> ]]> </description> <guid>http://209.38.24.71//cgi-bin/koha/opac-detail.pl?biblionumber=51552</guid> </item> </channel> </rss>
