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检索条件"任意字段=7th European Conference on Principles and Practice of Knowledge Discovery in Databases"

共 85 条记录，以下是1-10 订阅

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7th International Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2022 held at european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD 2022

7th International Workshop on Advanced Analytics and Learnin...

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7th International Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2022 held at european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD 2022

ISBN: (纸本)9783031243776

the proceedings contain 12 papers. the special focus in this conference is on Advanced Analytics and Learning on Temporal Data. the topics include: EDGAR: Embedded Detection of Gunshots by AI in Real-time;identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves;ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications;clustering of Time Series Based on Forecasting Performance of Global Models;experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction;fast Time Series Classification with Random Symbolic Subsequences;RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection;window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark;application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River;data Augmentation for Time Series Classification with Deep Learning Models;Dimension Selection Strategies for Multivariate Time Series Classification with HIVE-COTEv2.0.

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9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, co-located with the 21st Joint european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD 202

9th International Workshop on Machine Learning and Data Mini...

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9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, co-located with the 21st Joint european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD 202

ISBN: (纸本)9783031275265

the proceedings contain 9 papers. the special focus in this conference is on Machine Learning and Data Mining for Sports Analytics. the topics include: Analyzing Passing Sequences for the Prediction of Goal-Scoring Opportunities;let’s Penetrate the Defense: A Machine Learning Model for Prediction and Valuation of Penetrative Passes;evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction;Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and Video;predicting Tennis Serve Directions with Machine Learning;discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup discovery;athlete Monitoring in Professional Road Cycling Using Similarity Search on Time Series Data.

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8th european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD and 8th International Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2023

8th European Conference on Machine Learning and Principles a...

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8th european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD and 8th International Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2023

ISBN: (纸本)9783031498954

the proceedings contain 19 papers. the special focus in this conference is on Machine Learning and principles and practice of knowledge discovery in databases. the topics include: Evaluating Explanation Methods for Multivariate Time Series Classification;tGLAD: A Sparse Graph Recovery Based Approach for Multivariate Time Series Segmentation;designing a New Search Space for Multivariate Time-Series Neural Architecture Search;back to Basics: A Sanity Check on Modern Time Series Classification Algorithms;do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Milking Performance and Detect Health Issues;exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction;Rail Crack Propagation Forecasting Using Multi-horizons RNNs;Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies;time-Aware Predictions of Moments of Change in Longitudinal User Posts on Social Media;change Points Detection in Multivariate Signal Applied to Human Activity Segmentation;change Point Detection via Synthetic Signals;clustering Time Series with k-Medoids Based Algorithms;Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting;RED CoMETS: An Ensemble Classifier for Symbolically Represented Multivariate Time Series;deep Long Term Prediction for Semantic Segmentation in Autonomous Driving;extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression;ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.

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6th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2015, held in conjunction with the 6th european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML-PKDD 2015, 6th International Workshop on Modeling Social Media, MSM 2015, held in conjunction with the 24th International World Wide Web conference, WWW 2015 and 7th International Workshop on Modeling Social Media, MSM 2016, held in conjunction with the 25th International World Wide Web conference, WWW 2016

6th International Workshop on Mining Ubiquitous and Social E...

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6th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2015, held in conjunction with the 6th european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML-PKDD 2015, 6th International Workshop on Modeling Social Media, MSM 2015, held in conjunction with the 24th International World Wide Web conference, WWW 2015 and 7th International Workshop on Modeling Social Media, MSM 2016, held in conjunction with the 25th International World Wide Web conference, WWW 2016

ISBN: (纸本)9783030339067

the proceedings contain 7 papers. the special focus in this conference is on Mining Ubiquitous and Social Environments. the topics include: Analyzing big data streams with apache SAMOA;Multimodal behavioral mobility pattern mining and analysis using topic modeling on GPS data;sequential monte carlo inference based on activities for overlapping community models;results of a survey about the perceived task similarities in micro task crowdsourcing systems;Provenance of explicit and implicit interactions on social media with W3C PROV-DM.

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KDID 2022 - Proceedings of the 20th Anniversary Workshop on knowledge discovery in Inductive databases, co-located with the european conference on Machine Learning and principles and practice of knowledge discovery in databases 2022, ECMLPKDD 2022

KDID 2022 - Proceedings of the 20th Anniversary Workshop on ...

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20th Anniversary Workshop on knowledge discovery in Inductive databases, KDID 2022

the proceedings contain 5 papers. the topics discussed include: a condensed survey on condensed representations of patterns;histogram-based probabilistic rule lists for numeric targets;serenade: an approach for differentially private greedy redescription mining;from inductive databases to DL8.5;and from inductive databases to a modeling language for pattern mining, to a next-generation library for constraint solving.

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6th International Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held at the european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML-PKDD 2021

6th International Workshop on Advanced Analytics and Learnin...

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6th International Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held at the european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML-PKDD 2021

ISBN: (纸本)9783030914448

the proceedings contain 12 papers. the special focus in this conference is on Advanced Analytics and Learning on Temporal Data. the topics include: RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds;from Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information;state Space Approximation of Gaussian Processes for Time Series Forecasting;fast Channel Selection for Scalable Multivariate Time Series Classification;Temporal Phenotyping for Characterisation of Hospital Care Pathways of COVID19 Patients;non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation;TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control;detection of Critical Events in Renewable Energy Production Time Series;multimodal Meta-Learning for Time Series Regression;cluster-Based Forecasting for Intermittent and Non-intermittent Time Series.

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4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held in conjunction with the 19th european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD 2019

4th Workshop on Mining Data for Financial Applications, MIDA...

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4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held in conjunction with the 19th european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD 2019

ISBN: (纸本)9783030377199

the proceedings contain 11 papers. the special focus in this conference is on Mining Data for Financial Applications. the topics include: Curriculum Learning in Deep Neural Networks for Financial Forecasting;a Brand Scoring System for Cryptocurrencies Based on Social Media Data;big Data Financial Sentiment Analysis in the european Bond Markets;MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning;preface;multi-step Prediction of Financial Asset Return Volatility Using Parsimonious Autoregressive Sequential Model;monitoring the Business Cycle with Fine-Grained, Aspect-Based Sentiment Extraction from News;mining Financial Risk Events from News and Assessing their Impact on Stocks;mining Business Relationships from Stocks and News.

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8th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2019, held in conjunction with the european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML-PKDD 2019

8th International Workshop on New Frontiers in Mining Comple...

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8th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2019, held in conjunction with the european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML-PKDD 2019

ISBN: (纸本)9783030488604

the proceedings contain 9 papers. the special focus in this conference is on New Frontiers in Mining Complex Patterns. the topics include: 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.

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1st International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019 held in Conjunction with the 19th european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD 2019

1st International Workshop on Multiple-Aspect Analysis of Se...

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1st International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019 held in Conjunction with the 19th european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD 2019

ISBN: (纸本)9783030380809

the proceedings contain 9 papers. the special focus in this conference is on Multiple-Aspect Analysis of Semantic Trajectories. the topics include: Uncovering Hidden Concepts from AIS Data: A Network Abstraction of Maritime Traffic for Anomaly Detection;learning from Our Movements – the Mobility Data Analytics Era;preface;multi-channel Convolutional Neural Networks for Handling Multi-dimensional Semantic Trajectories and Predicting Future Semantic Locations;A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction;predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning;prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams.

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19th Joint european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD 2019

19th Joint European Conference on Machine Learning and Princ...

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19th Joint european conference on Machine Learning and principles and practice of knowledge discovery in databases, ECML PKDD 2019

ISBN: (纸本)9783030438227

the proceedings contain 116 papers. the special focus in this conference is on Machine Learning and principles and practice of knowledge discovery in databases. the topics include: Learning and interpreting potentials for classical hamiltonian systems;automating common data science matrix transformations;finding interpretable concept spaces in node embeddings using knowledge bases;local interpretation methods to machine learning using the domain of the feature space;measuring unfairness through game-theoretic interpretability;lioNets: Local interpretation of neural networks through penultimate layer decoding;distributed generative modelling with sub-linear communication overhead;distributed learning of neural networks with one round of communication;decentralized learning with budgeted network load using gaussian copulas and classifier ensembles;decentralized recommendation based on matrix factorization: A comparison of gossip and federated learning;Ring-Star: A sparse topology for faster model averaging in decentralized parallel SGD;hardware acceleration of machine learning beyond linear Algebra;deepNotebooks: Deep probabilistic models construct python notebooks for reporting datasets;detecting stable communities in link streams at multiple temporal scales;a comparative study of community detection techniques for large evolving graphs;dynamic joint variational graph autoencoders;evolution analysis of large graphs with gradoop;MHDNE: Network embedding based on multivariate hawkes process;multimodal deep networks for text and image-based document classification;manifold mixing for stacked regularization;a wide and deep neural network for survival analysis from anatomical shape and tabular clinical data;deep generative multi-view learning;SDE-KG: A stochastic dynamic environment for knowledge graphs;HyperUCB: Hyperparameter optimization using contextual bandits;iterative representation learning for entity alignment leveraging textual information;preface.

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