000			03873nam a22004815i 4500
710	2		_aSpringerLink (Online service) _9106996
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020			_a9789811302770
024	7		_a10.1007/978-981-13-0277-0 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aQA76.751 _b2019 EB
245	1	0	_aAdvances in Data and Information Sciences : _bProceedings of ICDIS 2017 _nVolume 2 _cedited by Mohan L. Kolhe, Munesh C. Trivedi, Shailesh Tiwari, Vikash Kumar Singh
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XXI, 396 páginas) _b123 ilustraciones, 86 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
490	0		_aLecture Notes in Networks and Systems _x2367-3370 ; _v39
505	0		_aReplica Control Following 1SR in DRTDBS Through Best Case of Transaction Execution -- FPGA Implementation of a Fast Scalar Point Multiplier for an Elliptic Curve Processor -- A Bloom Filter Based Data Deduplication for Big Data -- ITDA: CUBE - Less Architecture for Effective Multidimensional Data Analysis -- On Using Priority Inheritance Based Distributed Static Two Phase Locking Protocol -- A New Way to Find Way Using Depth Direction A* -- ECG Biometric Analysis Using Walsh Hadamard Transform -- A Priority Heuristic Policy in Mobile Distributed Real Time Database System -- A Proposal for Optimization of Horizontal Scaling in Big Data Environment -- A Literature Review on Hadoop Ecosystem and Various Techniques of Bigdata Optimization -- Smart Mobile Bot Detection Through Behavioral Analysis -- Compendium Depiction on the Applications of Cloud Robotics for the Reclamation of Mankind -- A Framework for Data Storage Security in Cloud -- Dynamic Sentiment Analysis Using Multiple Machine Learning Algorithms: A Comparative Knowledge Methodology -- Sentimental Analysis Using Tuned Ensemble Machine Learning Approach.
520	3		_aThe book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Data and Information Systems (ICDIS 2017), held at Indira Gandhi National Tribal University, India from November 3 to 4, 2017. The book covers all aspects of computational sciences and information security. In chapters written by leading researchers, developers and practitioner from academia and industry, it highlights the latest developments and technical solutions, helping readers from the computer industry capitalize on key advances in next-generation computer and communication technology.
988			_aPrimersemestre_2019_Engineering
650		7	_2embne _9453538 _aArquitectura de software _xCongresos y asambleas
653		7	_aData mining.
653		7	_aEngineering.
653		7	_aTelecommunication.
700	1		_aKolhe, Mohan L. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSingh, Vikash Kumar. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTiwari, Shailesh. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTrivedi, Munesh C. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811302763
776	0	8	_iPrinted edition: _z9789811302787
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-0277-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_dz _feng _ggw _h0 _b03/2020 _ea _zSI