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Machine Learning and Principles and Practice of Knowledge Discovery in Databases

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Cover of 'Machine Learning and Principles and Practice of Knowledge Discovery in Databases'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-task Learning for Features Extraction in Financial Annual Reports
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    Chapter 2 What to Do with Your Sentiments in Finance
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    Chapter 3 On the Development of a European Tracker of Societal Issues and Economic Activities Using Alternative Data
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    Chapter 4 Privacy-Preserving Machine Learning in Life Insurance Risk Prediction
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    Chapter 5 Financial Distress Model Prediction Using Machine Learning: A Case Study on Indonesia’s Consumers Cyclical Companies
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    Chapter 6 Improve Default Prediction in Highly Unbalanced Context
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    Chapter 7 Towards Explainable Occupational Fraud Detection
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    Chapter 8 Towards Data-Driven Volatility Modeling with Variational Autoencoders
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    Chapter 9 Auto-clustering of Financial Reports Based on Formatting Style and Author’s Fingerprint
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    Chapter 10 InFi-BERT 1.0: Transformer-Based Language Model for Indian Financial Volatility Prediction
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    Chapter 11 Intrusion Detection Using Ensemble Models
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    Chapter 12 Domain Adaptation with Maximum Margin Criterion with Application to Network Traffic Classification
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    Chapter 13 Evaluation of the Limit of Detection in Network Dataset Quality Assessment with PerQoDA
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    Chapter 14 Towards a General Model for Intrusion Detection: An Exploratory Study
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    Chapter 15 Conv-NILM-Net, a Causal and Multi-appliance Model for Energy Source Separation
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    Chapter 16 Domestic Hot Water Forecasting for Individual Housing with Deep Learning
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    Chapter 17 Detecting Drift in Healthcare AI Models Based on Data Availability
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    Chapter 18 Assessing Different Feature Selection Methods Applied to a Bulk RNA Sequencing Dataset with Regard to Biomedical Relevance
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    Chapter 19 Predicting Drug Treatment for Hospitalized Patients with Heart Failure
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    Chapter 20 A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients
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    Chapter 21 Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-trained Transformer Language Models
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    Chapter 22 A Light-Weight Deep Residual Network for Classification of Abnormal Heart Rhythms on Tiny Devices
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    Chapter 23 I-CONVEX: Fast and Accurate de Novo Transcriptome Recovery from Long Reads
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    Chapter 24 Italian Debate on Measles Vaccination: How Twitter Data Highlight Communities and Polarity
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    Chapter 25 Online Anomaly Explanation: A Case Study on Predictive Maintenance
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    Chapter 26 Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set
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    Chapter 27 An Online Data-Driven Predictive Maintenance Approach for Railway Switches
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    Chapter 28 curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection
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    Chapter 29 Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses
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    Chapter 30 Towards Geometry-Preserving Domain Adaptation for Fault Identification
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    Chapter 31 A Systematic Approach for Tracking the Evolution of XAI as a Field of Research
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    Chapter 32 Frequent Generalized Subgraph Mining via Graph Edit Distances
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Title
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Published by
Springer Nature Switzerland, January 2023
DOI 10.1007/978-3-031-23633-4
ISBNs
978-3-03-123632-7, 978-3-03-123633-4
Editors

Koprinska, Irena, Mignone, Paolo, Guidotti, Riccardo, Jaroszewicz, Szymon, Fröning, Holger, Gullo, Francesco, Ferreira, Pedro M., Roqueiro, Damian, Ceddia, Gaia, Nowaczyk, Slawomir, Gama, João, Ribeiro, Rita, Gavaldà, Ricard, Masciari, Elio, Ras, Zbigniew, Ritacco, Ettore, Naretto, Francesca, Theissler, Andreas, Biecek, Przemyslaw, Verbeke, Wouter, Schiele, Gregor, Pernkopf, Franz, Blott, Michaela, Bordino, Ilaria, Danesi, Ivan Luciano, Ponti, Giovanni, Severini, Lorenzo, Appice, Annalisa, Andresini, Giuseppina, Medeiros, Ibéria, Graça, Guilherme, Cooper, Lee, Ghazaleh, Naghmeh, Richiardi, Jonas, Saldana, Diego, Sechidis, Konstantinos, Canakoglu, Arif, Pido, Sara, Pinoli, Pietro, Bifet, Albert, Pashami, Sepideh

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