000 02467nam a22004935i 4500
001 978-3-319-25667-2
003 DE-He213
005 20200421111656.0
007 cr nn 008mamaa
008 151210s2016 gw | s |||| 0|eng d
020 _a9783319256672
_9978-3-319-25667-2
024 7 _a10.1007/978-3-319-25667-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aSayed-Mouchaweh, Moamar.
_eauthor.
245 1 0 _aLearning from Data Streams in Dynamic Environments
_h[electronic resource] /
_cby Moamar Sayed-Mouchaweh.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aVIII, 75 p. 44 illus., 43 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
505 0 _aIntroduction to learning -- Learning in dynamic environment -- Handling concept drift -- Summary and final comments.
520 _aThis book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 0 _aElectrical engineering.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aCommunications Engineering, Networks.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319256658
830 0 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-25667-2
912 _aZDB-2-ENG
942 _cEBK
999 _c54683
_d54683