000 01529cam a22004214a 4500
001 muse70605
003 MdBmJHUP
005 20210127151158.0
006 m o d
007 cr||||||||nn|n
008 170821s2018 mau o 00 0 eng d
010 _z 2017038927
020 _a9780262346047
020 _z9780262037792 (hardcover : alk. paper)
035 _a(OCoLC)1042908181
040 _aMdBmJHUP
_cMdBmJHUP
050 0 4 _aQA76.9.D343
_b.B54 2018
082 0 _a006.3/12
_223
100 1 _aBifet, Albert,
_eauthor.
245 1 0 _aMachine Learning for Data Streams
_bwith Practical Examples in MOA /
_cAlbert Bifet, Ricard Gavaldà, Geoff Holmes, and Bernhard Pfahringer.
264 1 _bMIT Press,
264 3 _bProject MUSE,
300 _a1 online resource (pages cm.)
490 0 _aAdaptive computation and machine learning series
504 _aIncludes bibliographical references and index.
506 0 _aOpen Access
_fUnrestricted online access
_2star
588 _aDescription based on print version record.
650 0 _aStreaming technology (Telecommunications)
650 0 _aData mining.
655 7 _aElectronic books.
_2local
710 2 _aProject Muse.
_edistributor
830 0 _aBook collections on Project MUSE.
856 4 0 _zFull text available:
_uhttps://muse.jhu.edu/book/60833/
999 _c24912
_d24912