000			04966nam a22005175i 4500
999			_c13357 _d13357
001			978-3-319-70688-7
003			DE-He213
005			20211215140827.0
008			171230s2018 gw | s |||| 0|eng d
020			_a9783319706887
040			_cAIKTC-KRRC
041			_aENG
072		7	_aUYQ _2bicssc
072		7	_aTEC009000 _2bisacsh
072		7	_aUYQ _2thema
082	0	4	_a006.3 _223
245	1	0	_aCognitive Computing for Big Data Systems Over IoT _h[electronic resource] : _bFrameworks, Tools and Applications /
250			_a1st ed. 2018.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018.
300			_aXVI, 375 p. 81 illus., 51 illus. in color. _bCard Paper
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes on Data Engineering and Communications Technologies, _x2367-4512 ; _v14
520			_aThis book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.
650		0	_aComputer Engineering _94622
653			_aComputational Intelligence.
653			_aData Mining and Knowledge Discovery.
700	1		_aSangaiah, Arun Kumar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aThangavelu, Arunkumar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMeenakshi Sundaram, Venkatesan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783319706870
776	0	8	_iPrinted edition: _z9783319706894
830		0	_aLecture Notes on Data Engineering and Communications Technologies, _x2367-4512 ; _v14
856	4	0	_uhttps://doi.org/10.1007/978-3-319-70688-7 _zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942			_cEBOOKS _2ddc