Using Data Mining to Help Design Sustainable Products

Data mining techniques make it possible to automate product life-cycle assessment with reasonable accuracy, even in cases of low-quality inventory data.

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Computer (Long Beach, Calif.) Calif.), 2011-08, Vol.44 (8), p.103-106
Hauptverfasser: Marwah, M., Shah, A., Bash, C., Patel, C., Ramakrishnan, N.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 106
container_issue 8
container_start_page 103
container_title Computer (Long Beach, Calif.)
container_volume 44
creator Marwah, M.
Shah, A.
Bash, C.
Patel, C.
Ramakrishnan, N.
description Data mining techniques make it possible to automate product life-cycle assessment with reasonable accuracy, even in cases of low-quality inventory data.
doi_str_mv 10.1109/MC.2011.257
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_912920970</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5984828</ieee_id><sourcerecordid>912920970</sourcerecordid><originalsourceid>FETCH-LOGICAL-c342t-59a24eb4137c110111693fc4b1b1317bdee4504171aa3e18d66e644c2d0290493</originalsourceid><addsrcrecordid>eNpdkL1PwzAQxS0EEqUwMbJESIgBpfj8kdgjSoEitQIJOluO41Su0qTYycB_j6NWDEx3p_vdu6eH0DXgGQCWj6tiRjDAjPD8BE2Ac5FiAewUTTAGkUrIyDm6CGEbRyY4nSC-Dq7dJHPd62Tl2rHvu2Rhm30yt8Ft2uRzCL12rS4bm3z4rhpMHy7RWa2bYK-OdYrWL89fxSJdvr--FU_L1FBG-pRLTZgtGdDcRH8AkElaG1ZCCRTysrKWccwgB62pBVFlmc0YM6TCRGIm6RTdH3T3vvsebOjVzgVjm0a3thuCkkAkwTLHkbz9R267wbfRnBKCCUk45hF6OEDGdyF4W6u9dzvtfxRgNQaoVoUaA1QxwEjfHSV1MLqpvW6NC38nhLFoMh9Vbw6cs9b-rbmMb4mgv4OMdNs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>884892505</pqid></control><display><type>article</type><title>Using Data Mining to Help Design Sustainable Products</title><source>IEEE Electronic Library (IEL)</source><creator>Marwah, M. ; Shah, A. ; Bash, C. ; Patel, C. ; Ramakrishnan, N.</creator><creatorcontrib>Marwah, M. ; Shah, A. ; Bash, C. ; Patel, C. ; Ramakrishnan, N.</creatorcontrib><description>Data mining techniques make it possible to automate product life-cycle assessment with reasonable accuracy, even in cases of low-quality inventory data.</description><identifier>ISSN: 0018-9162</identifier><identifier>EISSN: 1558-0814</identifier><identifier>DOI: 10.1109/MC.2011.257</identifier><identifier>CODEN: CPTRB4</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Data mining ; Data processing. List processing. Character string processing ; Design methodology ; Discovery Analytics ; Environmental assessment ; Environmental factors ; Exact sciences and technology ; Green products ; Information systems. Data bases ; Life-cycle analysis ; Mechanical engineering. Machine design ; Memory organisation. Data processing ; Product design ; Product life cycle management ; Product lifecycle management ; Software ; Sustainable design ; Sustainable development</subject><ispartof>Computer (Long Beach, Calif.), 2011-08, Vol.44 (8), p.103-106</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Aug 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c342t-59a24eb4137c110111693fc4b1b1317bdee4504171aa3e18d66e644c2d0290493</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5984828$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5984828$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=24429075$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Marwah, M.</creatorcontrib><creatorcontrib>Shah, A.</creatorcontrib><creatorcontrib>Bash, C.</creatorcontrib><creatorcontrib>Patel, C.</creatorcontrib><creatorcontrib>Ramakrishnan, N.</creatorcontrib><title>Using Data Mining to Help Design Sustainable Products</title><title>Computer (Long Beach, Calif.)</title><addtitle>MC</addtitle><description>Data mining techniques make it possible to automate product life-cycle assessment with reasonable accuracy, even in cases of low-quality inventory data.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Data mining</subject><subject>Data processing. List processing. Character string processing</subject><subject>Design methodology</subject><subject>Discovery Analytics</subject><subject>Environmental assessment</subject><subject>Environmental factors</subject><subject>Exact sciences and technology</subject><subject>Green products</subject><subject>Information systems. Data bases</subject><subject>Life-cycle analysis</subject><subject>Mechanical engineering. Machine design</subject><subject>Memory organisation. Data processing</subject><subject>Product design</subject><subject>Product life cycle management</subject><subject>Product lifecycle management</subject><subject>Software</subject><subject>Sustainable design</subject><subject>Sustainable development</subject><issn>0018-9162</issn><issn>1558-0814</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkL1PwzAQxS0EEqUwMbJESIgBpfj8kdgjSoEitQIJOluO41Su0qTYycB_j6NWDEx3p_vdu6eH0DXgGQCWj6tiRjDAjPD8BE2Ac5FiAewUTTAGkUrIyDm6CGEbRyY4nSC-Dq7dJHPd62Tl2rHvu2Rhm30yt8Ft2uRzCL12rS4bm3z4rhpMHy7RWa2bYK-OdYrWL89fxSJdvr--FU_L1FBG-pRLTZgtGdDcRH8AkElaG1ZCCRTysrKWccwgB62pBVFlmc0YM6TCRGIm6RTdH3T3vvsebOjVzgVjm0a3thuCkkAkwTLHkbz9R267wbfRnBKCCUk45hF6OEDGdyF4W6u9dzvtfxRgNQaoVoUaA1QxwEjfHSV1MLqpvW6NC38nhLFoMh9Vbw6cs9b-rbmMb4mgv4OMdNs</recordid><startdate>20110801</startdate><enddate>20110801</enddate><creator>Marwah, M.</creator><creator>Shah, A.</creator><creator>Bash, C.</creator><creator>Patel, C.</creator><creator>Ramakrishnan, N.</creator><general>IEEE</general><general>IEEE Computer Society</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope></search><sort><creationdate>20110801</creationdate><title>Using Data Mining to Help Design Sustainable Products</title><author>Marwah, M. ; Shah, A. ; Bash, C. ; Patel, C. ; Ramakrishnan, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-59a24eb4137c110111693fc4b1b1317bdee4504171aa3e18d66e644c2d0290493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>Data mining</topic><topic>Data processing. List processing. Character string processing</topic><topic>Design methodology</topic><topic>Discovery Analytics</topic><topic>Environmental assessment</topic><topic>Environmental factors</topic><topic>Exact sciences and technology</topic><topic>Green products</topic><topic>Information systems. Data bases</topic><topic>Life-cycle analysis</topic><topic>Mechanical engineering. Machine design</topic><topic>Memory organisation. Data processing</topic><topic>Product design</topic><topic>Product life cycle management</topic><topic>Product lifecycle management</topic><topic>Software</topic><topic>Sustainable design</topic><topic>Sustainable development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marwah, M.</creatorcontrib><creatorcontrib>Shah, A.</creatorcontrib><creatorcontrib>Bash, C.</creatorcontrib><creatorcontrib>Patel, C.</creatorcontrib><creatorcontrib>Ramakrishnan, N.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Computer (Long Beach, Calif.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Marwah, M.</au><au>Shah, A.</au><au>Bash, C.</au><au>Patel, C.</au><au>Ramakrishnan, N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Data Mining to Help Design Sustainable Products</atitle><jtitle>Computer (Long Beach, Calif.)</jtitle><stitle>MC</stitle><date>2011-08-01</date><risdate>2011</risdate><volume>44</volume><issue>8</issue><spage>103</spage><epage>106</epage><pages>103-106</pages><issn>0018-9162</issn><eissn>1558-0814</eissn><coden>CPTRB4</coden><abstract>Data mining techniques make it possible to automate product life-cycle assessment with reasonable accuracy, even in cases of low-quality inventory data.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/MC.2011.257</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0018-9162
ispartof Computer (Long Beach, Calif.), 2011-08, Vol.44 (8), p.103-106
issn 0018-9162
1558-0814
language eng
recordid cdi_proquest_miscellaneous_912920970
source IEEE Electronic Library (IEL)
subjects Applied sciences
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Data mining
Data processing. List processing. Character string processing
Design methodology
Discovery Analytics
Environmental assessment
Environmental factors
Exact sciences and technology
Green products
Information systems. Data bases
Life-cycle analysis
Mechanical engineering. Machine design
Memory organisation. Data processing
Product design
Product life cycle management
Product lifecycle management
Software
Sustainable design
Sustainable development
title Using Data Mining to Help Design Sustainable Products
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T17%3A10%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20Data%20Mining%20to%20Help%20Design%20Sustainable%20Products&rft.jtitle=Computer%20(Long%20Beach,%20Calif.)&rft.au=Marwah,%20M.&rft.date=2011-08-01&rft.volume=44&rft.issue=8&rft.spage=103&rft.epage=106&rft.pages=103-106&rft.issn=0018-9162&rft.eissn=1558-0814&rft.coden=CPTRB4&rft_id=info:doi/10.1109/MC.2011.257&rft_dat=%3Cproquest_RIE%3E912920970%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=884892505&rft_id=info:pmid/&rft_ieee_id=5984828&rfr_iscdi=true