000 | 02716cam a22005534a 4500 | ||
---|---|---|---|
001 | musev2_60833 | ||
003 | MdBmJHUP | ||
005 | 20240815120749.0 | ||
006 | m o d | ||
007 | cr||||||||nn|n | ||
008 | 180605s2018 mau o 00 0 eng d | ||
020 | _a9780262346047 | ||
020 | _z0262346044 | ||
020 | _z9780262037792 | ||
035 | _a(OCoLC)1042908181 | ||
040 |
_aMdBmJHUP _cMdBmJHUP |
||
100 | 1 |
_aBifet, Albert, _eauthor. |
|
245 | 1 | 0 |
_aMachine Learning for Data Streams : _bwith Practical Examples in MOA / _cAlbert Bifet, Ricard Gavaldà , Geoff Holmes, Bernhard Pfahringer. |
264 | 1 |
_aLondon, England : _bThe MIT Press, _c[2017] |
|
264 | 3 |
_aBaltimore, Md. : _bProject MUSE, _c2018 |
|
264 | 4 | _c©[2017] | |
300 |
_a1 online resource: _billustrations |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
490 | 0 | _aAdaptive computation and machine learning | |
505 | 0 | _aIntro; Contents; List of Figures; List of Tables; Preface; I INTRODUCTION; 1 Introduction; 2 Big Data Stream Mining; 3 Hands-on Introduction to MOA; II STREAM MINING; 4 Streams and Sketches; 5 Dealing with Change; 6 Classification; 7 Ensemble Methods; 8 Regression; 9 Clustering; 10 Frequent Pattern Mining; III THE MOA SOFTWARE; 11 Introduction to MOA and Its Ecosystem; 12 The Graphical User Interface; 13 Using the Command Line; 14 Using the API; 15 Developing New Methods in MOA; Bibliography; Index | |
506 | 0 |
_aOpen Access _fUnrestricted online access _2star |
|
520 | _aA hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. | ||
588 | _aDescription based on print version record. | ||
650 | 7 |
_aNeural networks (Computer science) _2fast _0(OCoLC)fst01036260 |
|
650 | 7 |
_aMachine learning. _2fast _0(OCoLC)fst01004795 |
|
650 | 7 |
_aDatabase management. _2fast _0(OCoLC)fst00888037 |
|
650 | 7 |
_aCOMPUTERS / Artificial Intelligence / General. _2bisacsh |
|
650 | 6 | _aApprentissage automatique. | |
650 | 6 | _aReseaux neuronaux (Informatique) | |
650 | 6 |
_aBases de donnees _xGestion. |
|
650 | 0 | _aMachine learning. | |
650 | 0 | _aNeural networks (Computer science) | |
650 | 0 | _aDatabase management. | |
655 | 7 |
_aElectronic books. _2local |
|
700 | 1 |
_aPfahringer, Bernhard, _eauthor. |
|
700 | 1 |
_aHolmes, Geoffrey, _eauthor. |
|
700 | 1 |
_aGavaldà , Ricard, _d1964- _eauthor. |
|
710 | 2 |
_aM.I.T. Press, _epublisher. |
|
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 |
_c232093 _d232092 |