<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Time series clustering and classification</title>
  </titleInfo>
  <name type="personal">
    <namePart>Maharaj, Elizabeth Ann</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>D'Urso, Pierpaolo</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Caiado, Jorge</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">flu</placeTerm>
    </place>
    <dateIssued encoding="marc">2019</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xv, 228 pages : illustrations ; 25 cm.</extent>
  </physicalDescription>
  <tableOfContents>Introduction -- Time series features and models -- Traditional cluster analysis -- Fuzzy clustering -- Observation-based clustering -- Feature-based clustering -- Model-based clustering -- Other time series clustering approaches -- Feature-based approaches -- Other time series classification approaches -- Software and data sets.</tableOfContents>
  <note type="statement of responsibility">Elizabeth Ann Maharaj, Department of Econometrics and Business Statistics, Monash University, Australia, Pierpaolo D'Urso, Department of Social and Economic Sciences, Sapienza--University of Rome, Italy, Jorge Caiado, Department of Mathematics, ISEG, Lisbon School of Economics &amp; Management, University of Lisbon, Portugal.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Time-series analysis</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Cluster analysis</topic>
  </subject>
  <classification authority="lcc">QA280 .M3345 2019</classification>
  <classification authority="ddc">Grad 519.55 M214 2019</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Chapman &amp; Hall/CRC computer science &amp; data analysis series</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9781498773218</identifier>
  <identifier type="lccn">2018052974</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">DLC</recordContentSource>
    <recordCreationDate encoding="marc">181207</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251027205703.0</recordChangeDate>
    <recordIdentifier>20769073</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
