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020			_a9789811314988 _9
024	7		_a10.1007/978-981-13-1498-8 _2doi
040			_bspa _dES-MaUEC
050		4	_aQA76.9.D343 _b2019 EB
245	0	0	_aEmerging Technologies in Data Mining and Information Security : _bProceedings of IEMIS 2018 _nVolume 2 _cedited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XXX, 885 páginas) _b 315 ilustraciones,231 ilustraciones a color
347			_atext file _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5357 ; _v813
505	0		_aThe Study of Sentimental State of Human from Tweet Text -- Data Analytic Techniques with Hardware Based Encryption for High Profile Dataset -- Exploring Student Migration in Rural Region of Bangladesh -- Analysis on Lightning News And Correlation With Lightning Imaging Sensor (LIS) Data -- Design of Business Canvas Model for Social Media -- EEG Signal Analysis Using Different Clustering Techniques -- Viable Crop Prediction Scenario in Big Data Using a Novel Approach -- A Graph Based Approach on Extractive Summarization -- Promises and Challenges of Big Data in a Data Driven World -- A Proposed Approach for Improving Hadoop Performance For Handling Small Files -- Identification of the Recurrence of Breast Cancer by Discriminant Analysis -- Spam Detection in SMS based on Feature Selection Techniques -- Analysis and Design of an Efficient Temporal Data Mining Model for the Indian Stock Market -- Community Detection Methods in Social Network Analysis -- A Comparative Study on Cluster Analysis of Micro-Blogging Data.
520	3		_aThe book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.
650		7	_aData mining _2embne _9162648
700	1		_aAbraham, Ajith _d1968- _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _945309
700	1		_aDutta, Paramartha _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100499
700	1		_aMandal, Jyotsna Kumar. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100493
700	1		_aBhattacharya, Abhishek. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDutta, Soumi. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9789811314971
776	0	8	_iPrinted edition: _z9789811314995
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-1498-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b09/2019 _cm _dz _ea _feng _ggw _h0
999			_c111301 _d111301 _x1