Record ID | marc_loc_2016/BooksAll.2016.part33.utf8:157232302:2009 |
Source | Library of Congress |
Download Link | /show-records/marc_loc_2016/BooksAll.2016.part33.utf8:157232302:2009?format=raw |
LEADER: 02009cam a2200349 a 4500
001 2006102335
003 DLC
005 20070816081915.0
008 061222s2008 paua b 001 0 eng
010 $a 2006102335
020 $a9781599043876
020 $a1599043874
020 $a9781599043890 (ebook)
020 $a1599043890 (ebook)
035 $a(OCoLC)ocm77572859
035 $a(OCoLC)77572859
040 $aDLC$cDLC$dBTCTA$dBAKER$dC#P$dYDXCP$dDLC
042 $alcac
050 00 $aQA76.9.D343$bH78 2008
082 00 $a005.74$222
100 1 $aHsu, Wynne,$d1966-
245 10 $aTemporal and spatio-temporal data mining /$cWynne Hsu, Mong Li Lee, Junmei Wang.
260 $aHershey :$bIGI Pub.,$cc2008.
300 $ax, 280 p. :$bill. ;$c27 cm.
520 $a"This book presents probable solutions when discovering the spatial sequence patterns by incorporating the information into the sequence of patterns, and introduces new classes of spatial sequence patterns, called flow and generalized spatio-temporal patterns, addressing different scenarios in spatio-temporal data by modeling them as graphs, providing a comprehensive synopsis on two successful partition-based algorithms designed by the authors"--Provided by publisher.
504 $aIncludes bibliographical references and index.
505 0 $aTime series mining : background and related work -- Mining dense periodic patterns in time series databases -- Mining sequence patterns in evolving databases -- Mining progressive confident rules in sequence databases -- Early works in spatio-temporal mining -- Mining topological patterns in spatio-temporal databases -- Mining flow patterns in spatio-temporal data -- Mining generalized flow patterns -- Mining spatio-temporal trees -- Mining spatio-temporal graph patterns.
650 0 $aData mining.
650 0 $aTemporal databases.
700 1 $aLee, Mong Li.
700 1 $aWang, Junmei,$d1975-
856 41 $3Table of contents only$uhttp://www.loc.gov/catdir/toc/ecip077/2006102335.html