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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
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    Chapter 1 Autonomous HVAC Control, A Reinforcement Learning Approach
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    Chapter 2 Clustering by Intent: A Semi-Supervised Method to Discover Relevant Clusters Incrementally
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    Chapter 3 Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models
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    Chapter 4 Early Detection of Fraud Storms in the Cloud
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    Chapter 5 Flexible Sliding Windows for Kernel Regression Based Bus Arrival Time Prediction
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    Chapter 6 Learning Detector of Malicious Network Traffic from Weak Labels
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    Chapter 7 Online Analysis of High-Volume Data Streams in Astroparticle Physics
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    Chapter 8 Robust Representation for Domain Adaptation in Network Security
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    Chapter 9 Safe Exploration for Active Learning with Gaussian Processes
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    Chapter 10 Semi-Supervised Consensus Clustering for ECG Pathology Classification
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    Chapter 11 Two Step graph-based semi-supervised Learning for Online Auction Fraud Detection
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    Chapter 12 Watch-It-Next: A Contextual TV Recommendation System
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    Chapter 13 Bayesian Hypothesis Testing in Machine Learning
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    Chapter 14 Data-Driven Exploration of Real-Time Geospatial Text Streams
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    Chapter 15 Discovering Neutrinos Through Data Analytics
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    Chapter 16 Listener-Aware Music Recommendation from Sensor and Social Media Data
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    Chapter 17 Logic-Based Incremental Process Mining
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    Chapter 18 Mobility Mining for Journey Planning in Rome
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    Chapter 19 Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing
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    Chapter 20 Privacy Preserving Blocking and Meta-Blocking
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    Chapter 21 Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform
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    Chapter 22 Star Classification Under Data Variability: An Emerging Challenge in Astroinformatics
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    Chapter 23 The Evolution of Social Relationships and Strategies Across the Lifespan
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    Chapter 24 Understanding Where Your Classifier Does (Not) Work
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    Chapter 25 Machine Learning and Knowledge Discovery in Databases
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    Chapter 26 Will This Paper Increase Your h -index?
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    Chapter 27 CardioWheel: ECG Biometrics on the Steering Wheel
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    Chapter 28 Data Patterns Explained with Linked Data
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    Chapter 29 Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams
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    Chapter 30 HiDER: Query-Driven Entity Resolution for Historical Data
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    Chapter 31 IICE: Web Tool for Automatic Identification of Chemical Entities and Interactions
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    Chapter 32 Interactively Exploring Supply and Demand in the UK Independent Music Scene
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    Chapter 33 Monitoring Production Equipment in Remote Locations
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    Chapter 34 MultiNets : Web-Based Multilayer Network Visualization
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    Chapter 35 OMEGA: An Order-Preserving SubMatrix Mining, Indexing and Search Tool
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    Chapter 36 Probabilistic Programming in Anglican
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    Chapter 37 ProbLog2: Probabilistic Logic Programming
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    Chapter 38 Machine Learning and Knowledge Discovery in Databases
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    Chapter 39 S&P360: Multidimensional Perspective on Companies from Online Data Sources
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    Chapter 40 Scavenger – A Framework for Efficient Evaluation of Dynamic and Modular Algorithms
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    Chapter 41 UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN
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    Chapter 42 VIPER – Visual Pattern Explorer
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    Chapter 43 Machine Learning and Knowledge Discovery in Databases
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Mentioned by

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11 tweeters

Citations

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Readers on

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Title
Machine Learning and Knowledge Discovery in Databases
Published by
Springer International Publishing, August 2015
DOI 10.1007/978-3-319-23461-8
ISBNs
978-3-31-923460-1, 978-3-31-923461-8
Editors

Bifet, Albert, May, Michael, Zadrozny, Bianca, Gavalda, Ricard, Pedreschi, Dino, Bonchi, Francesco, Cardoso, Jaime, Spiliopoulou, Myra

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 29%
Student > Ph. D. Student 6 25%
Student > Postgraduate 2 8%
Student > Bachelor 2 8%
Researcher 1 4%
Other 3 13%
Unknown 3 13%
Readers by discipline Count As %
Computer Science 10 42%
Engineering 7 29%
Energy 2 8%
Agricultural and Biological Sciences 1 4%
Unknown 4 17%