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100   $a20091203d2010      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aAdaptive stream mining$b[electronic resource] $epattern learning and mining from evolving data streams /$fAlbert Bifet
210   $aAmsterdam $cIOS Press$d2010
215   $a1 online resource (224 p.)
225 1 $aFrontiers in artificial intelligence and applications ;$vv. 207
300   $aDescription based upon print version of record.
311   $a1-60750-090-6 
320   $aIncludes bibliographical references.
327   $aTitle page; Contents; Introduction and Preliminaries; Introduction; Preliminaries; Evolving Data Stream Learning; Mining Evolving Data Streams; Adaptive Sliding Windows; Decision Trees; Ensemble Methods; Closed Frequent Tree Mining; Mining Frequent Closed Rooted Trees; Mining Implications from Lattices of Closed Trees; Evolving Tree Data Stream Mining; Mining Adaptively Frequent Closed Rooted Trees; Adaptive XML Tree Classification; Bibliography
330   $aContributes to the subject of mining time-changing data streams and addresses the design of learning algorithms for this purpose. This book introduces contributions on several different aspects of the problem, identifying research opportunities and increasing the scope for applications.
410  0$aFrontiers in artificial intelligence and applications ;$vv. 207.
606   $aData mining
606   $aPattern recognition systems
615  0$aData mining.
615  0$aPattern recognition systems.
676   $a006.312
700   $aBifet$b Albert$01167471
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910792432303321
996   $aAdaptive stream mining$93818699
997   $aUNINA