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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 District Heating Substation Behaviour Modelling for Annotating the Performance
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    Chapter 2 Modeling Evolving User Behavior via Sequential Clustering
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    Chapter 3 Recognizing User’s Activity and Transport Mode Detection: Maintaining Low-Power Consumption
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    Chapter 4 Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study
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    Chapter 5 Towards Sensing and Sharing Auditory Context Information Using Wearable Device
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    Chapter 6 Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic
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    Chapter 7 Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program
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    Chapter 8 Data Integration for the Development of a Seismic Loss Prediction Model for Residential Buildings in New Zealand
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    Chapter 9 Linking IT Product Records
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    Chapter 10 Pharos: Query-Driven Schema Inference for the Semantic Web
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    Chapter 11 Informativeness-Based Active Learning for Entity Resolution
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    Chapter 12 Encoding Hierarchical Classification Codes for Privacy-Preserving Record Linkage Using Bloom Filters
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    Chapter 13 Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms
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    Chapter 14 Auto Semi-supervised Outlier Detection for Malicious Authentication Events
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    Chapter 15 Defense-VAE: A Fast and Accurate Defense Against Adversarial Attacks
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    Chapter 16 Analyzing and Storing Network Intrusion Detection Data Using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings
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    Chapter 17 Analyzing Soccer Players’ Skill Ratings Over Time Using Tensor-Based Methods
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    Chapter 18 Exploring Successful Team Tactics in Soccer Tracking Data
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    Chapter 19 Soccer Team Vectors
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    Chapter 20 Tactical Analyses in Professional Tennis
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    Chapter 21 Difficulty Classification of Mountainbike Downhill Trails Utilizing Deep Neural Networks
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    Chapter 22 Categorizing Online Harassment on Twitter
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    Chapter 23 Learning to Detect Online Harassment on Twitter with the Transformer
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    Chapter 24 Detection of Harassment on Twitter with Deep Learning Techniques
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    Chapter 25 Gradient Boosting Machine and LSTM Network for Online Harassment Detection and Categorization in Social Media
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    Chapter 26 Attention-Based Method for Categorizing Different Types of Online Harassment Language
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    Chapter 27 SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance
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    Chapter 28 Event-Based Predictive Maintenance on Top of Sensor Data in a Real Industry 4.0 Case Study
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    Chapter 29 Forecasting of Product Quality Through Anomaly Detection
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    Chapter 30 Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification
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    Chapter 31 A Study on Imbalanced Data Streams
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    Chapter 32 Mining Human Mobility Data to Discover Locations and Habits
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    Chapter 33 Imbalanced Data Stream Classification Using Hybrid Data Preprocessing
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    Chapter 34 A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes
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    Chapter 35 Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning
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    Chapter 36 Neural Symbolic Music Genre Transfer Insights
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    Chapter 37 Familiar Feelings: Listener-Rated Familiarity in Music Emotion Recognition
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    Chapter 38 Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks
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    Chapter 39 Bacher than Bach? On Musicologically Informed AI-Based Bach Chorale Harmonization
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    Chapter 40 Adaptively Learning to Recognize Symbols in Handwritten Early Music
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    Chapter 41 Feature-Based Classification of Electric Guitar Types
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    Chapter 42 RecurSIA-RRT: Recursive Translatable Point-Set Pattern Discovery with Removal of Redundant Translators
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    Chapter 43 Bow Gesture Classification to Identify Three Different Expertise Levels: A Machine Learning Approach
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    Chapter 44 Symbolic Music Classification Based on Multiple Sequential Patterns
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    Chapter 45 OPTISIA: An Evolutionary Approach to Parameter Optimisation in a Family of Point-Set Pattern-Discovery Algorithms
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    Chapter 46 Predicting Dynamics in Violin Pieces with Features from Melodic Motifs
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    Chapter 47 Sequence Generation Using Unwords
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    Chapter 48 A Machine Learning Approach to Study Expressive Performance Deviations in Classical Guitar
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    Chapter 49 Enhanced De-Essing via Neural Networks
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    Chapter 50 Representation, Exploration and Recommendation of Playlists
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    Chapter 51 Results of the Seventh Edition of the BioASQ Challenge
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    Chapter 52 Selected Approaches Ranking Contextual Term for the BioASQ Multi-label Classification (Task6a and 7a)
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    Chapter 53 Convolutional Neural Network for Automatic MeSH Indexing
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    Chapter 54 A Mixed Information Source Approach for Biomedical Question Answering: MindLab at BioASQ 7B
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    Chapter 55 AUEB at BioASQ 7: Document and Snippet Retrieval
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    Chapter 56 Classification Betters Regression in Query-Based Multi-document Summarisation Techniques for Question Answering
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    Chapter 57 Structured Summarization of Academic Publications
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    Chapter 58 How to Pre-train Your Model? Comparison of Different Pre-training Models for Biomedical Question Answering
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    Chapter 59 Yes/No Question Answering in BioASQ 2019
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    Chapter 60 Semantically Corroborating Neural Attention for Biomedical Question Answering
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    Chapter 61 Measuring Domain Portability and Error Propagation in Biomedical QA
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    Chapter 62 UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B
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    Chapter 63 Transformer Models for Question Answering at BioASQ 2019
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    Chapter 64 Pre-trained Language Model for Biomedical Question Answering
Overall attention for this book and its chapters
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Title
Machine Learning and Knowledge Discovery in Databases
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-43887-6
ISBNs
978-3-03-043886-9, 978-3-03-043887-6
Editors

Peggy Cellier, Kurt Driessens

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