| 000 | 05532nam a22004215i 4500 | ||
|---|---|---|---|
| 988 | _aSpringer_Engineering_2020 | ||
| 999 |
_c116840 _d116840 _x1 |
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| 003 | ES-MaUEC | ||
| 005 | 20230110040247.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 190924s2020 si | s |||| 0|eng d | ||
| 020 | _a9789811393648 | ||
| 024 | 7 |
_a10.1007/978-981-13-9364-8 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.9.D3 _b2020 EB |
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| 245 | 0 | 0 |
_aData Management, Analytics and Innovation : _bProceedings of ICDMAI 2019, Volume 2 _cedited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas |
| 250 | _aFirst edition 2020 | ||
| 264 | 1 |
_aSingapore _bSpringer Singapore _bImprint: Springer _c2020 |
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| 300 |
_a1 recurso en línea (XII, 500 páginas) _b229 ilustraciones, 177 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aAdvances in Intelligent Systems and Computing _x2194-5357 _v1016 |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 505 | 0 | _aSequence Mining Based Support Vector Machine with Decision Tree Approach for Efficient Time Series Data Classification -- Identifying Phishing through Web Content and addressed Bar-Based Features -- A Unified Framework for Outfit Design and Advice -- Contextual Relevance of ICT-Call Modules and its Role in Promoting Employability Skills among Engineering Students - A Study -- A Clinically Applicable Automated Risk Classification model for Pulmonary Nodules -- A Generalized Ensemble Machine Learning Approach for Landslide Susceptibility Modeling -- Comparative evaluation of AVIRIS-NG and Hyperion hyperspectral image for mineral identification -- Real-Time Scheduling Approach for IoT based Home Automation System -- Floating car data map-matching utilizing Dijkstra algorithm -- Calculating AQI using Secondary Pollutants for Smart Air Management System -- Enhanced Prediction of Heart Disease using Particle Swarm Optimization and Rough Sets with Transductive Support Vector Machines Classifier -- DataCan: Robust approach for Genome Cancer Data Analysis -- DataAutism: An Early Detection Framework of Autism in Infants using Data Science -- AnaBus: A Proposed Sampling Retrieval Model for Business and Historical Data Analytics -- Abrupt Scene Change Detection using block based Local Directional Pattern -- A FRAMEWORK FOR WEB ARCHIVING AND GUARANTEED RETRIEVAL -- Business Intelligence through Big Data Analytics, Data Mining and Machine Learning -- The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organisations -- The Impact of Technology Readiness on the Big Data Adoption among UAE Organizations -- Sports Data Analytics : A Case Study of Off-field Behavior of Players using Statistical Approach -- Phrase Based Information Retrieval Analysis in Various Search Engines Using Machine Learning Algorithms -- The Politics of Artificial Intelligence Behaviour and Human Rights Violation Issues in 2016 US Presidential Elections: An Appraisal -- Crop Prediction Using Artificial Neural Network and Support Vector Machine -- A Hybrid and Adaptive Approach for Classification of Indian Stock Market Related Tweets -- Generative Adversarial Networks as an Advancement in 2D to 3D Reconstruction Techniques -- Impact of Artificial Intelligence on Human Resources -- Role of Activation functions and order of input sequences in Question-Answering -- GestTalk - RealTime Gesture to Speech Conversion Glove -- Deep Learning Algorithms for Accurate Prediction of Image Description for E-Commerce Industry -- Taj-Shanvi framework for image fusion using Guided Filters -- Effective Classification & Handling of Incoming Data Packets in Mobile Adhoc Networks (MANETs) using Random Forest Ensemble Technique (RF/ET) -- Community Structure Identification in Social Networks Inspired By Parliamentary Political Competitions -- An Integrated Technique to Ensure Confidentiality and Integrity in Data Transmission through the Strongest and Authentic Hotspot Selection Mechanism -- ML Model to Improve QoS for selection of healthy channel in Wireless Sensor Network -- Performance Analysis of the Mobile WSN for Efficient localization. | |
| 520 | _aThis book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. | ||
| 650 | 7 |
_2embne _aSistemas de gestión de bases de datos _9150569 |
|
| 700 | 1 |
_aSharma, Neha _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _9101970 |
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| 700 | 1 |
_aChakrabarti, Amlan _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _9101969 |
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| 700 | 1 |
_aBalas, Valentina Emilia _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _996925 |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811393631 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811393655 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-9364-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_dz _feng _ggw _h0 _b01/2020 _eIG _zSI |
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