Tag | Indicator1 | Indicator2 | Subfield |
---|
Leader | | | 02885cmm#a2200397#a#4500 |
001 | # | # | b00096839 |
003 | # | # | RMUTR |
005 | # | # | 20201221093910.2 |
007 | # | # | cr#cuu|||uu||| |
008 | # | # | 201221s2018##si#ac##ob##001#0#eng#d |
010 | # | # | $z 2017044537 |
020 | # | # | $a9789813228047$q(ebook) |
020 | # | # | $z9789813228030$q(hbk.) |
040 | # | # | $aWSPC$beng$cWSPC |
050 | 0 | 4 | $aQA76.9 $bD262 2018 |
245 | 0 | 0 | $aData mining in time series and streaming databases$h[electronic resource] /$ceditors, Mark Last, Horst Bunke, Abraham Kandel. |
260 | # | # | $aSingapore :$bWorld Scientific Publishing Co. Pte Ltd.,$c©2018. |
300 | # | # | $a1 online resource (196 p.) :$bill. (some col.), col. ports |
490 | 0 | # | $aSeries in machine perception and artificial intelligence ;$vv. 83 |
504 | # | # | $aIncludes bibliographical references and index. |
505 | 0 | # | $aStreaming data mining with massive online analytics (MOA) -- Weightless neural modeling for mining data streams -- Ensemble classifiers for imbalanced and evolving data streams -- Consensus learning for sequence data -- Clustering-based classification of document streams with active learning -- Supporting the mining of big data by means of domain knowledge during the pre-mining phases -- Data analytics: industrial perspective & solutions for streaming data. |
520 | # | # | $a"This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining. The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic."--$cProvided by publisher. |
533 | # | # | $aElectronic reproduction.$bSingapore :$cWorld Scientific,$d[2017]. |
538 | # | # | $aMode of access: World Wide Web. |
588 | # | # | $aDescription based on online resource; title from PDF title page (viewed January 8, 2018). |
650 | # | 0 | $aData mining. |
650 | # | 0 | $aBig data. |
650 | # | 0 | $aStreaming technology (Telecommunications). |
650 | # | 0 | $aElectronic data processing$xDistributed processing. |
650 | # | 0 | $aQuerying (Computer science). |
650 | # | 0 | $aElectronic books. |
700 | 1 | # | $aLast, Mark. |
700 | 1 | # | $aBunke, Horst,$d1949-. |
700 | 1 | # | $aKandel, Abraham. |
856 | 4 | 0 | $uhttp://www.worldscientific.com/worldscibooks/10.1142/10655#t=toc$zAccess to full text is restricted to subscribers. |
856 | 4 | # | $uhttps://doi.org/10.1142/10655 |