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ECML PKDD 2018 Workshops [[electronic resource] ] : MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings / / edited by Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Celine Robardet, Tiziano Squartini
| ECML PKDD 2018 Workshops [[electronic resource] ] : MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings / / edited by Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Celine Robardet, Tiziano Squartini |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (X, 173 p. 70 illus., 50 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Computer security Computers and civilization E-commerce Artificial Intelligence Data Mining and Knowledge Discovery Systems and Data Security Computers and Society e-Commerce/e-business |
| ISBN | 3-030-13463-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Multivariate and Multi-step ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting -- Calibrating the Mean-reversion Parameter in the Hull-White Model Using NeuralNetworks -- Deep Factor Model–Explaining Deep Learning Decisions for Forecasting Stock Returns with Layer-wise Relevance Propagation -- A Comparison of Neural Network Methods for Accurate Sentiment Analysis of Stock Market Tweets -- A Progressive Resampling Algorithm for Finding Very Sparse Investment Portfolios -- ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations -- Testing for Self-excitation in Financial Events: A Bayesian Approach -- A Web Crawling Environment to Support Financial Strategies and Trend Correlation -- A differential privacy workflow for inference of parameters in the Rasch model -- Privacy Preserving Client/Vertical-Servers Classification -- Privacy Risk for Individual Basket Patterns -- Exploring Students Eating Habits through Individual Profiling and Clustering Analysis. |
| Record Nr. | UNISA-996466337603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
ECML PKDD 2018 Workshops : MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings / / edited by Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Celine Robardet, Tiziano Squartini
| ECML PKDD 2018 Workshops : MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings / / edited by Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Celine Robardet, Tiziano Squartini |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (X, 173 p. 70 illus., 50 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Computer security Computers and civilization E-commerce Artificial Intelligence Data Mining and Knowledge Discovery Systems and Data Security Computers and Society e-Commerce/e-business |
| ISBN | 3-030-13463-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Multivariate and Multi-step ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting -- Calibrating the Mean-reversion Parameter in the Hull-White Model Using NeuralNetworks -- Deep Factor Model–Explaining Deep Learning Decisions for Forecasting Stock Returns with Layer-wise Relevance Propagation -- A Comparison of Neural Network Methods for Accurate Sentiment Analysis of Stock Market Tweets -- A Progressive Resampling Algorithm for Finding Very Sparse Investment Portfolios -- ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations -- Testing for Self-excitation in Financial Events: A Bayesian Approach -- A Web Crawling Environment to Support Financial Strategies and Trend Correlation -- A differential privacy workflow for inference of parameters in the Rasch model -- Privacy Preserving Client/Vertical-Servers Classification -- Privacy Risk for Individual Basket Patterns -- Exploring Students Eating Habits through Individual Profiling and Clustering Analysis. |
| Record Nr. | UNINA-9910337582003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mining data for financial applications : 5th ECML PKDD workshop, MIDAS 2020 Ghent, Belgium, September 18, 2020 revised selected papers / / Valerio Bitetta [and five others] editors
| Mining data for financial applications : 5th ECML PKDD workshop, MIDAS 2020 Ghent, Belgium, September 18, 2020 revised selected papers / / Valerio Bitetta [and five others] editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (X, 151 p. 64 illus., 50 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Finance - Data processing Data protection |
| ISBN | 3-030-66981-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Trade Selection with Supervised Learning and Optimal Coordinate Ascent (OCA) -- How much does Stock Prediction improve with Sentiment Analysis? -- Applying Machine Learning to Predict Closing Prices in Stock Market: a case study -- Financial Fraud Detection with Improved Neural Arithmetic Logic Units -- Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets -- Multi-Objective Particle Swarm Optimization for Feature Selection in Credit Scoring -- A comparative analysis of Temporal Long Text Similarity: Application to Financial Documents -- Ranking Cryptocurrencies by Brand Importance: a Social Media Analysis in ENEAGRID -- Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods -- Neither in the Programs Nor in the Data: Mining the Hidden Financial Knowledge with Knowledge Graphs and Reasoning -- Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting. |
| Record Nr. | UNINA-9910483198803321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mining data for financial applications : 5th ECML PKDD workshop, MIDAS 2020 Ghent, Belgium, September 18, 2020 revised selected papers / / Valerio Bitetta [and five others] editors
| Mining data for financial applications : 5th ECML PKDD workshop, MIDAS 2020 Ghent, Belgium, September 18, 2020 revised selected papers / / Valerio Bitetta [and five others] editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (X, 151 p. 64 illus., 50 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Finance - Data processing Data protection |
| ISBN | 3-030-66981-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Trade Selection with Supervised Learning and Optimal Coordinate Ascent (OCA) -- How much does Stock Prediction improve with Sentiment Analysis? -- Applying Machine Learning to Predict Closing Prices in Stock Market: a case study -- Financial Fraud Detection with Improved Neural Arithmetic Logic Units -- Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets -- Multi-Objective Particle Swarm Optimization for Feature Selection in Credit Scoring -- A comparative analysis of Temporal Long Text Similarity: Application to Financial Documents -- Ranking Cryptocurrencies by Brand Importance: a Social Media Analysis in ENEAGRID -- Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods -- Neither in the Programs Nor in the Data: Mining the Hidden Financial Knowledge with Knowledge Graphs and Reasoning -- Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting. |
| Record Nr. | UNISA-996464394703316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Mining Data for Financial Applications [[electronic resource] ] : 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers / / edited by Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti
| Mining Data for Financial Applications [[electronic resource] ] : 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers / / edited by Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (IX, 133 p. 37 illus., 27 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Computer organization Computers E-commerce Application software Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service e-Commerce/e-business Computer Appl. in Social and Behavioral Sciences |
| ISBN | 3-030-37720-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning -- Curriculum Learning in Deep Neural Networks for Financial Forecasting -- Representation Learning in Graphs for Credit Card Fraud Detection -- Firms Default Prediction with Machine Learning -- Convolutional Neural Networks, Image Recognition and Financial Time Series Forecasting -- Mining Business Relationships from Stocks and News -- Mining Financial Risk Events from News and Assessing their impact on Stocks -- Monitoring the Business Cycle with Fine-grained, Aspect-based Sentiment Extraction from News -- Multi-step Prediction of Financial Asset Return Volatility Using Parsimonious Autoregressive Sequential Model -- Big Data Financial Sentiment Analysis in the European Bond Markets -- A Brand Scoring System for Cryptocurrencies Based on Social Media Data. |
| Record Nr. | UNISA-996418316603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Mining Data for Financial Applications : 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers / / edited by Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti
| Mining Data for Financial Applications : 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers / / edited by Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (IX, 133 p. 37 illus., 27 illus. in color.) |
| Disciplina |
006.3
006.3 (edition:23) |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Computer organization Computers E-commerce Application software Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service e-Commerce/e-business Computer Appl. in Social and Behavioral Sciences |
| ISBN | 3-030-37720-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning -- Curriculum Learning in Deep Neural Networks for Financial Forecasting -- Representation Learning in Graphs for Credit Card Fraud Detection -- Firms Default Prediction with Machine Learning -- Convolutional Neural Networks, Image Recognition and Financial Time Series Forecasting -- Mining Business Relationships from Stocks and News -- Mining Financial Risk Events from News and Assessing their impact on Stocks -- Monitoring the Business Cycle with Fine-grained, Aspect-based Sentiment Extraction from News -- Multi-step Prediction of Financial Asset Return Volatility Using Parsimonious Autoregressive Sequential Model -- Big Data Financial Sentiment Analysis in the European Bond Markets -- A Brand Scoring System for Cryptocurrencies Based on Social Media Data. |
| Record Nr. | UNINA-9910373923503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||