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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

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Novel Framework for Online Sales Burst Prediction
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    Chapter 2 Analyzing Granger Causality in Climate Data with Time Series Classification Methods
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    Chapter 3 Automatic Detection and Recognition of Individuals in Patterned Species
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    Chapter 4 Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting
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    Chapter 5 CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining
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    Chapter 6 DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters
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    Chapter 7 Disjoint-Support Factors and Seasonality Estimation in E-Commerce
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    Chapter 8 Event Detection and Summarization Using Phrase Network
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    Chapter 9 Generalising Random Forest Parameter Optimisation to Include Stability and Cost
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    Chapter 10 Have It Both Ways—From A/B Testing to A&B Testing with Exceptional Model Mining
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    Chapter 11 Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays
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    Chapter 12 Modeling the Temporal Nature of Human Behavior for Demographics Prediction
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    Chapter 13 MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings
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    Chapter 14 Optimal Client Recommendation for Market Makers in Illiquid Financial Products
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    Chapter 15 Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call Center
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    Chapter 16 Probabilistic Inference of Twitter Users’ Age Based on What They Follow
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    Chapter 17 Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects
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    Chapter 18 RSSI-Based Supervised Learning for Uncooperative Direction-Finding
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    Chapter 19 Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning
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    Chapter 20 Session-Based Fraud Detection in Online E-Commerce Transactions Using Recurrent Neural Networks
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    Chapter 21 SINAS: Suspect Investigation Using Offenders’ Activity Space
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    Chapter 22 Stance Classification of Tweets Using Skip Char Ngrams
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    Chapter 23 Structural Semantic Models for Automatic Analysis of Urban Areas
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    Chapter 24 Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test
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    Chapter 25 Unsupervised Signature Extraction from Forensic Logs
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    Chapter 26 Urban Water Flow and Water Level Prediction Based on Deep Learning
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    Chapter 27 Using Machine Learning for Labour Market Intelligence
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    Chapter 28 Activity-Driven Influence Maximization in Social Networks
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    Chapter 29 An AI Planning System for Data Cleaning
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    Chapter 30 Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications
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    Chapter 31 Data-Driven Approaches for Smart Parking
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    Chapter 32 Image Representation, Annotation and Retrieval with Predictive Clustering Trees
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    Chapter 33 Music Generation Using Bayesian Networks
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    Chapter 34 Phenotype Inference from Text and Genomic Data
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    Chapter 35 Process-Based Modeling and Design of Dynamical Systems
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    Chapter 36 QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees
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    Chapter 37 Recent Advances in Kernel-Based Graph Classification
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    Chapter 38 ASK-the-Expert: Active Learning Based Knowledge Discovery Using the Expert
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    Chapter 39 Delve: A Data Set Retrieval and Document Analysis System
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    Chapter 40 Framework for Exploring and Understanding Multivariate Correlations
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    Chapter 41 Lit@EVE: Explainable Recommendation Based on Wikipedia Concept Vectors
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    Chapter 42 Monitoring Physical Activity and Mental Stress Using Wrist-Worn Device and a Smartphone
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    Chapter 43 Tetrahedron: Barycentric Measure Visualizer
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    Chapter 44 TF Boosted Trees: A Scalable TensorFlow Based Framework for Gradient Boosting
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    Chapter 45 TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory
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    Chapter 46 TrAnET: Tracking and Analyzing the Evolution of Topics in Information Networks
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    Chapter 47 WHODID: Web-Based Interface for Human-Assisted Factory Operations in Fault Detection, Identification and Diagnosis
Overall attention for this book and its chapters
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45 X users
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3 Facebook pages

Citations

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Title
Machine Learning and Knowledge Discovery in Databases
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-71273-4
ISBNs
978-3-31-971272-7, 978-3-31-971273-4
Editors

Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Žitnik, Michelangelo Ceci, Sašo Džeroski

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 6 11%
Lecturer 3 5%
Student > Master 3 5%
Student > Bachelor 2 4%
Other 8 14%
Unknown 22 39%
Readers by discipline Count As %
Computer Science 17 30%
Engineering 6 11%
Environmental Science 3 5%
Earth and Planetary Sciences 3 5%
Agricultural and Biological Sciences 2 4%
Other 4 7%
Unknown 22 39%