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  <title>Data Mining:</title>
  <subTitle>Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)</subTitle>
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  <namePart>Jiawei Han , Micheline Kamber , Jian Pei</namePart>
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   <placeTerm type="text">Islamabad</placeTerm>
   <publisher>Al Hafiz Traders</publisher>
   <dateIssued>2022</dateIssued>
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  <languageTerm type="text">English</languageTerm>
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 <note>Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets.&#13;
&#13;
After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.</note>
 <note type="statement of responsibility">Jiawei Han , Micheline Kamber , Jian Pei</note>
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  <topic>Computer Science Data Science</topic>
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  <topic>1. Computer Science 2. Software Engineering 3. Dat</topic>
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  <topic>Data Science Information Technology</topic>
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 <classification>6.312</classification>
 <identifier type="isbn">9780128117606</identifier>
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  <physicalLocation>NUML LIBRARY RAWALPINDI (National University of Modern Languages) NUML library is the state of art which equipped “RESEARCH FACILITATION CENTRE” with latest computers for readers to access the digital library of more than 23000 research journals and 130000 online books and E-Library of NUML-Rawalpindi.</physicalLocation>
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