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AI and Financial Markets
| AI and Financial Markets |
| Autore | Hamori Shigeyuki |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico | Economics, Finance, Business and Management |
| Soggetto non controllato |
agent based simulation
algorithmic trading Artificial Intelligence artificial market asset allocation ATR autoencoder blockchain BlockCloud CAR regulation CfD community finances consensus algorithms contract for difference deep learning deep reinforcement learning economic policy exchange rates financial market simulation fiscal flexibility fundamentals hidden markov model individualized financial arrangements interpretability long short-term memory LSTM machine learning neural network neural networks portfolio prediction price momentum Q-learning random forest reinforcement learning RL simulation Stop Loss support vector machine sustainable financial services term structure of interest rates text mining topic model Turtle uncertainty yield curve |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557584903321 |
Hamori Shigeyuki
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bibliometric Studies and Worldwide Research Trends on Global Health
| Bibliometric Studies and Worldwide Research Trends on Global Health |
| Autore | Manzano Agugliaro Francisco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (326 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
academic performance
advanced oxidation process applications artificial intelligence asthma bibliometric bibliometric analysis bibliometric study bibliometrics biclustering biomechanics children citation network CiteSpace climate change co-word analysis concern emergent contaminant content analysis COPD COVID-19 D) diabetes drugs ergonomics global health health HIV/AIDS HRQoL infectious diseases interventions knowledge map LDA machine learning medicinal plants microorganisms microplastics motivation musculoskeletal disorders musculoskeletal risks network analysis obesity patents pediatrics public health pulmonary disease QoL QOL quality of life reclaimed water Research and Development (R& research hotspots RULA scientometric study scientometrics Scival social networks social returns Spain strategic diagram text mining traditional medicine visualization analysis VOSviewer software wastewater treatment worldwide worldwide research young people youths |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557629603321 |
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Manzano Agugliaro Francisco
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data Analytics and Information Science for Business and Biomedical Applications
| Big Data Analytics and Information Science for Business and Biomedical Applications |
| Autore | Ahmed S. Ejaz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (246 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
abdominal aortic aneurysm
ant colony system asymptotic theory bayesian spatial mixture model causal and dilated convolutional neural networks deep learning DWD EEG/MEG data elastic net emulation ensembling entropy-based robust EM estimation consistency feature fusion feature representation financial time series generalized linear models high dimension high dimensional predictors high dimensional time-series high-dimensional high-dimensional data information complexity criteria inverse problem L2-consistency Lasso Medicare data missingness mechanism mixture regression model selection multicategory classification nonlocal prior nonparamteric boostrap nuisance penalty methods post-selection inference prediction proximal algorithm random subspaces regularization segmentation sparse group lasso sparse PCA stepwise regression strong selection consistency text mining trend analysis unconventional likelihood |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557614803321 |
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Ahmed S. Ejaz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Methods for the Analysis of Genomic Data and Biological Processes
| Computational Methods for the Analysis of Genomic Data and Biological Processes |
| Autore | Gómez Vela Francisco A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (222 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general |
| Soggetto non controllato |
binding sites
bioinformatics bioinformatics analysis CAMTA1 cancer CBF chilling stress Chou's 5-steps rule chromatin interactions classification clustering computational biology computational intelligence Convolution Neural Network (CNN) CRISPR-Cas9 data mining deep learning differential genes expression differentiation DNA methylation DNA N6-methyladenine DREB ensembles eQTL exercise fine-mapping gene co-expression network Gene Ontology gene-set enrichment genome architecture genomics hepatocellular carcinoma HIGD2A high-fat diet hypoxia immune response infiltration infiltration tactics optimization algorithm Long Short-Term Memory (LSTM) machine learning machine-learning meta-analysis methylation microarray miRNA mRNA expression murine coronavirus n/a obesity pathway pathways potential therapeutic targets power prediction proteomics quercetin Reactome Pathways RNA N6-methyladenosine site single-cell clone systems biology text mining transcription factor transcriptomics viral infection yeast genome |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557129603321 |
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Gómez Vela Francisco A
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Systems Biology of Pathogen-Host Interactions
| Computational Systems Biology of Pathogen-Host Interactions |
| Autore | Reinhard Guthke |
| Pubbl/distr/stampa | Frontiers Media SA, 2016 |
| Descrizione fisica | 1 online resource (198 p.) |
| Collana | Frontiers Research Topics |
| Soggetto topico | Microbiology (non-medical) |
| Soggetto non controllato |
bioinformatics
Computational Biology Constraint-based modeling gene regulatory network Image-based Systems Biology Network Inference OMICS data pathogen-host interaction protein-protein interaction text mining |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910161648403321 |
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Reinhard Guthke
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| Frontiers Media SA, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
| Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan |
| Autore | Attewell Paul A. <1949-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 006.3/12 |
| Soggetto topico |
Social sciences - Data processing
Social sciences - Statistical methods Data mining |
| Soggetto non controllato |
analyzing data
bayesian networks big data bootstrapping business analytics chaid classification and regression trees classification trees confusion matrix data analysis data mining data processing data scholarship data science hardware for data mining heteroscedasticity naive bayes partition trees permutation tests scholarly data social science social scientists software for data mining statistical methods statistical modeling studying data text mining vif regression weka |
| ISBN |
0-520-28098-9
0-520-96059-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX |
| Record Nr. | UNINA-9910788152303321 |
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Attewell Paul A. <1949->
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| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
| Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan |
| Autore | Attewell Paul A. <1949-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 006.3/12 |
| Soggetto topico |
Social sciences - Data processing
Social sciences - Statistical methods Data mining |
| Soggetto non controllato |
analyzing data
bayesian networks big data bootstrapping business analytics chaid classification and regression trees classification trees confusion matrix data analysis data mining data processing data scholarship data science hardware for data mining heteroscedasticity naive bayes partition trees permutation tests scholarly data social science social scientists software for data mining statistical methods statistical modeling studying data text mining vif regression weka |
| ISBN |
0-520-28098-9
0-520-96059-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX |
| Record Nr. | UNINA-9910814373503321 |
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Attewell Paul A. <1949->
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| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Knowledge Discovery
| Data Science and Knowledge Discovery |
| Autore | Portela Filipe |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (254 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
activity recognition
adaptation process ArcGIS artificial intelligence attribution authorship automation big data Big Data box-counting framework chatbots classification content base image retrieval COVID-19 crisis reporting customer relationship management (CRM) dashboard data analysis data analytics data augmentation data mining data science databases decision systems deep features deep learning digital humanities digital infrastructures distracted driving driving behavior driving operation area e-commerce economic determinants of open data ESP32 microcontroller feature extraction forensic intelligence fractal dimension geoinformation technology governance and social institutions humanities ICT information systems interdisciplinary research internet of things ioCOVID19 journalists linked open data LoRaWAN machine learning media analytics media criticism multimedia document retrieval n/a neural networks news media open government data prediction by partial matching public health rough sets rule based systems SARS-CoV-2 script Python semantic information retrieval smart homes social sciences spatio-temporal territorial road network text mining textbook research The Things Network Web Intelligence WebGIS |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576878103321 |
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Portela Filipe
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Empirical Finance
| Empirical Finance |
| Autore | Hamori Shigeyuki |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (276 p.) |
| Soggetto non controllato |
algorithmic trading
ARDL asset pricing model asymmetric dependence ATR bagging bank credit bankruptcy prediction boosting causality-in-variance city banks cointegration convolutional neural networks copula credit risk cross-correlation function crude oil futures prices forecasting currency crisis data mining deep learning deep neural network dependence structure earnings management earnings manipulation earnings quality ensemble learning exchange rate exports financial and non-financial variables financial market stress flight to quality futures market global financial crisis gold return housing and stock markets housing loans housing price inertia initial public offering institutional investors' shareholdings IPO Japanese yen latency liquidity risk premium LSTM MACD machine learning market microstructure n/a natural gas neural network panel data model piecewise regression model predictive accuracy price discovery quantile regression random forest random forests real estate development loans robust regression short-term forecasting spark spread statistical arbitrage stop loss structural break SVM take profit text mining text similarity TVP-VAR model US dollar utility of international currency Vietnam volatility wavelet transform wholesale electricity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346675203321 |
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Hamori Shigeyuki
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Human and Animal Sensitivity : : How Stock-People and Consumer Perception Can Affect Animal Welfare / / Fabio Napolitano
| Human and Animal Sensitivity : : How Stock-People and Consumer Perception Can Affect Animal Welfare / / Fabio Napolitano |
| Autore | Napolitano Fabio |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (234 p.) |
| Soggetto topico | Biology, life sciences |
| Soggetto non controllato |
education
animal welfare young adult welfare stunning human health perception slaughter pig pigs children livestock laying hen racehorse welfare qualitative research free elicitation narrative interviews knowledge fear milk production ethical concerns food safety concerns agreement stakeholder perception castration sheep farmers farmer perception animal ethics goat benefit horse dairy buffalo animal attitudes turkey farm animal welfare (FAW) animal survey Animal welfare husbandry practices willingness to pay donkey avoidance distance training stockperson behaviour stockpeople attitudes farm animal welfare farm animals veterinary students broiler text mining religious slaughter profit consumer sheep egg farm Halal meat pain employee relations standards of care animal behavior consumer demand albumen corticosterone aggression technology transport test-retest reliability desensitization producer perspective economics pain perception Asia horse–human relationship lambs veterinary student human-animal relationship information citizen perception immunocastration perceived consumer effectiveness staff shortages |
| ISBN |
9783039212620
3039212621 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367568603321 |
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Napolitano Fabio
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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