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02763nam a2200469 a 4500 |
| 001 |
29920 |
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IGIG |
| 005 |
20100824171256.0 |
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m e d |
| 007 |
cr bn||||m|||a |
| 008 |
100727s2008 paua fsb 000 0 eng d |
| 010 |
# |
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|z 2006102335
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| 020 |
# |
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|a 9781599043890 (ebook)
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| 020 |
# |
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|a 1599043890 (ebook)
|
| 020 |
# |
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|z 1599043874 (hardcover)
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| 020 |
# |
# |
|z 9781599043876 (hardcover)
|
| 020 |
# |
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|z 9781616926540 (pbk.)
|
| 024 |
7 |
# |
|a 10.4018/978-1-59904-387-6
|2 doi
|
| 035 |
# |
# |
|a (CaBNVSL)gtp00543146
|
| 035 |
# |
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|a (OCoLC)537783255
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| 040 |
# |
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|a CaBNVSL
|c CaBNVSL
|d CaBNVSL
|
| 050 |
# |
4 |
|a QA76.9.D343
|b H78 2008e
|
| 082 |
0 |
4 |
|a 005.74
|2 22
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| 100 |
1 |
# |
|a Hsu, Wynne,
|d 1966-
|
| 245 |
1 |
0 |
|a Temporal and spatio-temporal data mining
|c Wynne Hsu, Mong Li Lee, Junmei Wang.
|h [electronic resource] /
|
| 260 |
# |
# |
|a Hershey, Pa. :
|b IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),
|c c2008.
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| 300 |
# |
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|a electronic texts (x, 280 p. : ill.) :
|b digital files.
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| 504 |
# |
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|a Includes bibliographical references.
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| 505 |
0 |
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|a 1. Introduction -- 2. Time series mining : background and related work -- 3. Mining dense periodic patterns in time series databases -- 4. Mining sequence patterns in evolving databases -- 5. Mining progressive confident rules in sequence databases -- 6. Early works in spatio-temporal mining -- 7. Mining topological patterns in spatio-temporal databases -- 8. Mining flow patterns in spatio-temporal data -- 9. Mining generalized flow patterns -- 10. Mining spatio-temporal trees -- 11. Mining spatio-temporal graph patterns -- 12. Conclusions and future work.
|
| 506 |
# |
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|a Restricted to subscribers or individual electronic text purchasers.
|
| 520 |
3 |
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|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.
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| 530 |
# |
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|a Also available in print.
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| 538 |
# |
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|a Mode of access: World Wide Web.
|
| 588 |
# |
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|a Title from PDF t.p. (viewed on July 28, 2010).
|
| 650 |
# |
0 |
|a Data mining.
|
| 650 |
# |
0 |
|a Temporal databases.
|
| 700 |
1 |
# |
|a Lee, Mong Li.
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| 700 |
1 |
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|a Wang, Junmei,
|d 1975-
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| 710 |
2 |
# |
|a IGI Global.
|
| 776 |
0 |
# |
|c (Original)
|w (DLC) 2006102335
|z 9781599043876
|z 1599043874
|
| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59904-387-6
|z View fulltext via EzAccess
|