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Temporal and spatio-temporal data mining

Wang, Junmei, (1975-)

Temporal and spatio-temporal data mining

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Temporal and spatio-temporal data mining/ Wynne Hsu, Mong Li Lee, Junmei Wang.
Author:	Hsu, Wynne,
other author:	Wang, Junmei,
Published:	Hershey :IGI Pub., : c2008.,
Description:	x, 280 p. :ill. :
Subject:	Temporal databases. -
Online resource:	Click to View

Temporal and spatio-temporal data mining
Hsu, Wynne,1966-

Temporal and spatio-temporal data mining[electronic resource] /Wynne Hsu, Mong Li Lee, Junmei Wang. - Hershey :IGI Pub.,c2008. - x, 280 p. :ill.

Includes bibliographical references and index.

Time 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.

"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.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

Subjects--Topical Terms:

566679
Temporal databases.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QA76.9.D343 / H78 2008

Dewey Class. No.: 005.74

Temporal and spatio-temporal data mining
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008 221104s2008 paua sb 001 0 eng
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020 $z 1599043874
020 $z 9781599043890 (ebook)
020 $z 1599043890 (ebook)
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035 $a (Au-PeEL)EBL3309210
035 $a (CaPaEBR)ebr10191880
035 $a (CaONFJC)MIL93352
035 $a (OCoLC)923148561
035 $a EBC3309210
040 $a MiAaPQ $c MiAaPQ $d MiAaPQ
050 4 $a QA76.9.D343 $b H78 2008
082 0 4 $a 005.74 $2 22
100 1 $a Hsu, Wynne, $d 1966- $3 566678
245 1 0 $a Temporal and spatio-temporal data mining $h [electronic resource] / $c Wynne Hsu, Mong Li Lee, Junmei Wang.
260 $a Hershey : $b IGI Pub., $c c2008.
300 $a x, 280 p. : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Time 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.
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.
533 $a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0 $a Temporal databases. $3 566679
650 0 $a Data mining. $3 528622
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Wang, Junmei, $d 1975- $3 566681
700 1 $a Lee, Mong Li. $3 566680
710 2 $a ProQuest (Firm) $3 1133097
856 4 0 $u https://ebookcentral.proquest.com/lib/nfu/detail.action?docID=3309210 $z Click to View

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