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Data mining in time series and strea...

Bunke, Horst, (1949-)

Data mining in time series and streaming databases[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	006.3/12
書名/作者:	Data mining in time series and streaming databases/ editors, Mark Last, Horst Bunke, Abraham Kandel.
其他作者:	Last, Mark.
出版者:	Singapore : : World Scientific,, c2018.
面頁冊數:	1 online resource (196 p.) : : ill. (some col.), col. ports
標題:	Data mining.
標題:	Big data.
標題:	Streaming technology (Telecommunications) - Handbooks, manuals, etc.
標題:	Electronic data processing - Distributed processing.
標題:	Querying (Computer science)
標題:	Electronic books.
ISBN:	9789813228047
書目註:	Includes bibliographical references and index.
摘要、提要註:	"This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining. The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic."--
電子資源:	https://www.worldscientific.com/worldscibooks/10.1142/10655#t=toc

Data mining in time series and streaming databases[electronic resource] /
Data mining in time series and streaming databases[electronic resource] /editors, Mark Last, Horst Bunke, Abraham Kandel. - 1st ed. - Singapore :World Scientific,c2018. - 1 online resource (196 p.) :ill. (some col.), col. ports - Series in machine perception and artificial intelligence,v. 831793-0839 ;. - Series in machine perception and artificial intelligence ;v. 74..

Includes bibliographical references and index.

"This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining. The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic."--

Electronic reproduction.
Singapore :
World Scientific,
[2017]

Mode of access: World Wide Web.

ISBN: 9789813228047Subjects--Topical Terms:

337740
Data mining.

LC Class. No.: QA76.9.D343 / D38328 2018

Dewey Class. No.: 006.3/12

Data mining in time series and streaming databases[electronic resource] /
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020 $z 9789813228030 $q (hbk.)
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040 $a WSPC $b eng $c WSPC
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050 0 4 $a QA76.9.D343 $b D38328 2018
082 0 4 $a 006.3/12 $2 23
245 0 0 $a Data mining in time series and streaming databases $h [electronic resource] / $c editors, Mark Last, Horst Bunke, Abraham Kandel.
250 $a 1st ed.
260 $a Singapore : $b World Scientific, $c c2018.
300 $a 1 online resource (196 p.) : $b ill. (some col.), col. ports
490 1 $a Series in machine perception and artificial intelligence, $x 1793-0839 ; $v v. 83
504 $a Includes bibliographical references and index.
520 $a "This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining. The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic."-- $c Provided by publisher.
533 $a Electronic reproduction. $b Singapore : $c World Scientific, $d [2017]
538 $a Mode of access: World Wide Web.
588 $a Description based on online resource; title from PDF title page (viewed January 8, 2018)
650 0 $a Data mining. $3 337740
650 0 $a Big data. $3 571002
650 0 $a Streaming technology (Telecommunications) $v Handbooks, manuals, etc. $3 444227
650 0 $a Electronic data processing $x Distributed processing. $3 404378
650 0 $a Querying (Computer science) $3 418063
650 0 $a Electronic books. $2 local $3 376747
700 1 $a Last, Mark. $3 709870
700 1 $a Bunke, Horst, $d 1949- $3 709871
700 1 $a Kandel, Abraham. $3 626406
830 0 $a Series in machine perception and artificial intelligence ; $v v. 74. $3 486796
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/10655#t=toc

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