Advances in Big Data and Cloud Computing [[electronic resource] ] : Proceedings of ICBDCC18 / / edited by J. Dinesh Peter, Amir H. Alavi, Bahman Javadi |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (575 pages) |
Disciplina | 006.3 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Engineering
Big data Telecommunication Computational Intelligence Big Data Communications Engineering, Networks |
ISBN | 981-13-1882-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1: Big-Data -- Chapter 2: Cloud Computing -- Chapter 3: Cloud Security -- Chapter 4: Data Analytics in Cloud -- Chapter 5: Big-Data and Cloud Computing Applications. |
Record Nr. | UNINA-9910484846203321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Big Data and Cloud Computing / / edited by Elijah Blessing Rajsingh, Jey Veerasamy, Amir H. Alavi, J. Dinesh Peter |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (402 pages) |
Disciplina | 004 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Big data Electrical engineering Computational Intelligence Big Data Communications Engineering, Networks |
ISBN | 981-10-7200-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Big-Data -- Cloud Computing -- Cloud Security -- Data Analytics in Cloud -- Big-Data and Cloud Computing Applications. |
Record Nr. | UNINA-9910299930903321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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Handbook of Genetic Programming Applications / / edited by Amir H. Gandomi, Amir H. Alavi, Conor Ryan |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (589 p.) |
Disciplina | 004 |
Soggetto topico |
Artificial intelligence
Computational intelligence Artificial Intelligence Computational Intelligence |
ISBN | 3-319-20883-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Graph-Based Evolutionary Art -- Genetic Programming for Modelling of Geotechnical Engineering Systems -- Application of Genetic Programming in Hydrology -- Application of Gene-Expression Programming in Hydraulics Engineering -- Genetic Programming applications in Chemical Sciences and Engineering -- Application of Genetic Programming for Electrical Engineering Predictive Modeling -- Mate Choice in Evolutionary Computation -- Genetically Improved Software -- Design of Real-Time Computer-Based Systems Using Developmental Genetic Programming -- Image Classification with Genetic Programming -- On the Application of Genetic Programming for New Generation of Ground Motion Prediction Equations -- Evaluation of Liquefaction Potential of Soil Based on Shear Wave Velocity Using Multi-Gene Genetic Programming -- Site Characterization Using GP, MARS, and GPR -- Use of Genetic Programming Based Surrogate Models to Simulate Complex Geochemical Transport Processes in Contaminated Mine Sites -- Potential of Genetic Programming in Hydroclimatic Prediction of Droughts -- Application of Genetic Programming for Uniaxial and Multiaxial Modeling of Concrete -- Genetic Programming for Mining Association Rules in Relational Database Environments -- Evolving GP Classifiers for Streaming Data Tasks with Concept Change and Label Budgets -- A New Evolutionary Approach to Geotechnical and Geo-environmental Modelling -- Application of GFA-MLR and G/PLS Techniques in QSAR/QSPR Studies with Application in Medicinal Chemistry and Predictive Toxicology -- Trading Volitility using Highly Accurate Symbolic Regression -- GPTIPS 2: An Open-Source Software Platform for Symbolic Data Mining -- eCrash: A Genetic Programming-Based Testing Tool for Object-Oriented Software. |
Record Nr. | UNINA-9910299214103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Intelligence in big data technologies -- beyond the hype : proceedings of ICBDCC 2019 / / editors, J. Dinesh Peter, Steven L. Fernandes, Amir H. Alavi |
Edizione | [1st edition 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (xiii, 636 pages) : illustrations |
Disciplina | 378.1662 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Big data
Cloud computing |
ISBN | 981-15-5285-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | From Dew Over Cloud towards the Rainbow Ecosystem of the Future:Nature – Human – Machine -- L1 Norm SVD based Ranking Scheme: A Novel Method in Big Data Mining -- Human Annotation and Emotion Recognition for Counseling System with Cloud Environment using Deep Learning -- Enhancing Intricate details of ultrasound PCOD scan images using Tailored Anisotropic Diffusion Filter (TADF) -- LSTM and GRU Deep learning Architectures for Smoke Prediction System in Indoor Environment -- A mobile based framework for detecting objects using SSD-Mobilenet in indoor environment -- Privacy Preserving Big Data Publication: (K, L) Anonymity -- Comparative Analysis of the efficacy of the EEG based Machine Learning method for the screening and diagnosing of Alcohol Use Disorder (AUD) -- Smart solution for waste management: a coherent framework based on IoT and big data analytics -- Early detection of diabetes from daily routine activities: Predictive modeling based on machine learning techniques. |
Record Nr. | UNINA-9910484309703321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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