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Machine Learning and Knowledge Discovery in Databases

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Cover of 'Machine Learning and Knowledge Discovery in Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Neural Article Pair Modeling for Wikipedia Sub-article Matching
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    Chapter 2 LinNet : Probabilistic Lineup Evaluation Through Network Embedding
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    Chapter 3 Improving Emotion Detection with Sub-clip Boosting
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    Chapter 4 Machine Learning for Targeted Assimilation of Satellite Data
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    Chapter 5 From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth
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    Chapter 6 Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping
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    Chapter 7 SPEEDING Up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN
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    Chapter 8 Discovering Bayesian Market Views for Intelligent Asset Allocation
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    Chapter 9 Intent-Aware Audience Targeting for Ride-Hailing Service
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    Chapter 10 A Recurrent Neural Network Survival Model: Predicting Web User Return Time
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    Chapter 11 Implicit Linking of Food Entities in Social Media
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    Chapter 12 A Practical Deep Online Ranking System in E-commerce Recommendation
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    Chapter 13 Helping Your Docker Images to Spread Based on Explainable Models
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    Chapter 14 ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction
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    Chapter 15 On Optimizing Operational Efficiency in Storage Systems via Deep Reinforcement Learning
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    Chapter 16 Automating Layout Synthesis with Constructive Preference Elicitation
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    Chapter 17 Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems
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    Chapter 18 Learning Cheap and Novel Flight Itineraries
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    Chapter 19 Towards Resource-Efficient Classifiers for Always-On Monitoring
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    Chapter 20 Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series
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    Chapter 21 Using Reinforcement Learning to Conceal Honeypot Functionality
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    Chapter 22 Flexible Inference for Cyberbully Incident Detection
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    Chapter 23 Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering
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    Chapter 24 Learning Tensor-Based Representations from Brain-Computer Interface Data for Cybersecurity
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    Chapter 25 Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation
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    Chapter 26 AMIE: Automatic Monitoring of Indoor Exercises
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    Chapter 27 Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction
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    Chapter 28 Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies
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    Chapter 29 Hypotensive Episode Prediction in ICUs via Observation Window Splitting
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    Chapter 30 Equipment Health Indicator Learning Using Deep Reinforcement Learning
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    Chapter 31 PBE : Driver Behavior Assessment Beyond Trajectory Profiling
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    Chapter 32 Accurate WiFi-Based Indoor Positioning with Continuous Location Sampling
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    Chapter 33 Human Activity Recognition with Convolutional Neural Networks
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    Chapter 34 Urban Sensing for Anomalous Event Detection:
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    Chapter 35 Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data
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    Chapter 36 CentroidNet: A Deep Neural Network for Joint Object Localization and Counting
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    Chapter 37 Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition
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    Chapter 38 Matrix Completion Under Interval Uncertainty: Highlights
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    Chapter 39 A Two-Step Approach for the Prediction of Mood Levels Based on Diary Data
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    Chapter 40 Best Practices to Train Deep Models on Imbalanced Datasets—A Case Study on Animal Detection in Aerial Imagery
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    Chapter 41 Deep Query Ranking for Question Answering over Knowledge Bases
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    Chapter 42 Machine Learning Approaches to Hybrid Music Recommender Systems
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    Chapter 43 IDEA: An Interactive Dialogue Translation Demo System Using Furhat Robots
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    Chapter 44 RAPID: Real-time Analytics Platform for Interactive Data Mining
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    Chapter 45 Interactive Time Series Clustering with COBRAS TS
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    Chapter 46 pysubgroup: Easy-to-Use Subgroup Discovery in Python
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    Chapter 47 An Advert Creation System for Next-Gen Publicity
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    Chapter 48 VHI : Valve Health Identification for the Maintenance of Subsea Industrial Equipment
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    Chapter 49 Tiler: Software for Human-Guided Data Exploration
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    Chapter 50 ADAGIO : Interactive Experimentation with Adversarial Attack and Defense for Audio
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    Chapter 51 ClaRe: Classification and Regression Tool for Multivariate Time Series
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    Chapter 52 Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning
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    Chapter 53 Monitoring Emergency First Responders’ Activities via Gradient Boosting and Inertial Sensor Data
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    Chapter 54 Visualizing Multi-document Semantics via Open Domain Information Extraction
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Citations

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Title
Machine Learning and Knowledge Discovery in Databases
Published by
Springer International Publishing, March 2019
DOI 10.1007/978-3-030-10997-4
ISBNs
978-3-03-010996-7, 978-3-03-010997-4
Editors

Brefeld, Ulf, Curry, Edward, Daly, Elizabeth, MacNamee, Brian, Marascu, Alice, Pinelli, Fabio, Berlingerio, Michele, Hurley, Neil

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 15%
Lecturer > Senior Lecturer 2 10%
Student > Doctoral Student 2 10%
Student > Ph. D. Student 2 10%
Student > Bachelor 2 10%
Other 3 15%
Unknown 6 30%
Readers by discipline Count As %
Computer Science 8 40%
Engineering 3 15%
Mathematics 1 5%
Physics and Astronomy 1 5%
Economics, Econometrics and Finance 1 5%
Other 0 0%
Unknown 6 30%