Machine Learning and Knowledge Discovery in Databases: International Workshops of Ecml Pkdd 2019, Wьrzburg, Germany, September 16-20, 2019, Proceeding, Cellier Peggy, Driessens Kurt
Описание: This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Wurzburg, Germany, in September 2019.
Описание: The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019.The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions;
A Framework for Pattern Mining and Anomaly Detection in Multi-Dimensional Time Series and Event Logs.- A Heuristic Approach for Sensitive Pattern Hiding with Improved Data Quality.- Interpretable Survival Gradient Boosting Models with Bagged Trees Base Learners.- Neural Hybrid Recommender: Recommendation Needs Collaboration.- Discovering Discriminative Nodes for Classification with Deep Graph Convolutional Methods.- Soft Voting Windowing Ensembles for Learning from Partially Labelled Streams.- Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning.- Customer Purchase Behavior Prediction in E-commerce: A Conceptual Framework and Research Agenda.- Hough Transform as a Tool for the Classification of Vehicle Speed Changes in on-road Audio Recordings.
Описание: bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
Описание: bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
Автор: Carlos Alzate; Anna Monreale; Livio Bioglio; Valer Название: ECML PKDD 2018 Workshops ISBN: 3030134628 ISBN-13(EAN): 9783030134624 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019.The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions;
Описание: The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019.The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions;
Описание: bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
Описание: bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
Описание: Fifth Workshop on Data Science for Social Good (SoGood 2020).- Workshop on Parallel, Distributed and Federated Learning (PDFL 2020).- Second Workshop on Machine Learning for Cybersecurity (MLCS 2020).- Ninth International Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2020).- Workshop on Data Integration and Applications (DINA 2020).- Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020).- Second International Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2020).- Eighth International Workshop on News Recommendation and Analytics (INRA 2020).
Описание: bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
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