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  <title>Data Mining :</title>
  <subTitle>Concepts and Techniques</subTitle>
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  <namePart>Han, Jiawei</namePart>
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  <namePart>Kamber, Micheline</namePart>
  <role>
   <roleTerm type="text">Primary Author</roleTerm>
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  <namePart>Pei, Jian</namePart>
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   <roleTerm type="text">Primary Author</roleTerm>
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   <placeTerm type="text">Burlington</placeTerm>
   <publisher>Elsevier Science</publisher>
   <dateIssued>2011</dateIssued>
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  <languageTerm type="text">English</languageTerm>
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  <extent>xxxv, 703: illust; 24 cm</extent>
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 <note>The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding.</note>
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 <subject authority="">
  <topic>Computer Science</topic>
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 <subject authority="">
  <topic>Data Mining</topic>
 </subject>
 <classification>006.312</classification>
 <identifier type="isbn">9780123814791</identifier>
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