Machine Learning and Knowledge Discovery in Databases

Name: Machine Learning and Knowledge Discovery in Databases | European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III
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European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III

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

Springer (Publisher)

Published on 28. August 2015

XXX, 345 pages

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978-3-319-23461-8 (ISBN)

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Content

Intro
Foreword to the ECML PKDD 2015 Industry,Governmental, and NGO Track
Foreword to the ECML PKDD 2015 Nectar Track
Foreword to the ECML PKDD 2015 Demo Track
Preface
Organization
Invited Talks Abstracts(Industrial Track)
AI Research at Huawei Technologies
Algorithmic Fashion
Deep Medical Learning
Contents - Part III
Industrial Track
Autonomous HVAC Control, A Reinforcement Learning Approach
1 Introduction
2 Background Research
3 Markov Decision Processes and Learning Methods
3.1 Markov Decision Processes
3.2 Reinforcement Learning
3.3 Bayesian Inference
4 HVAC Control
4.1 Occupancy Prediction
4.2 HVAC Control Using Q-learning
5 Initial Results
5.1 Occupancy Prediction
5.2 Autonomous Thermostat Control via Q-learning
Simulation Environment.
Online Q-learning vs HVAC ``Always On''.
Offline Q-learning Comfort Analysis.
Offline Q-learning vs HVAC ``Programmable Control''.
6 Conclusions and Future Work
References
Clustering by Intent: A Semi-Supervised Method to Discover Relevant Clusters Incrementally
1 Introduction
2 CBI Methods
3 Experiments
3.1 Experiment Protocol
3.2 Results
4 Related Work
5 Conclusions and Future Work
References
Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models
1 Introduction
2 Related Work
3 Impacts on Economic Strategy
4 Exploratory Analysis through Data Grid Models
4.1 Data Grid Exploitation and Visualization
5 Exploration Results
5.1 Analysis of Call Network between Antennas
5.2 Temporal Analysis of the Calls Distribution
5.3 Analysis of Output Communications w.r.t. Week Day and Hour
5.4 User Mobility Analysis w.r.t. Week Day and Hour
6 Conclusion
References
Early Detection of Fraud Storms in the Cloud
1 Introduction
2 Methods
2.1 The Problem Setting
2.2 The Labels
2.3 The Analyzed Signals
2.4 Learning Approaches
2.5 Performance Evaluation
3 Results
3.1 Analysis Approaches Comparison
3.2 Handling Missing and Corrupted Data
3.3 The Effect of the Data Accumulation Period Length
4 The System
5 Discussion
References
Flexible Sliding Windows for Kernel Regression Based Bus Arrival Time Prediction
1 Introduction
2 Problem Definition
2.1 Kernel Regression
2.2 Problem Definition
3 A Brute-Force Algorithm
4 An Approximation Algorithm
4.1 Approximation Algorithm
4.2 Theoretical Analysis
4.3 Further Optimization
5 Experiments
5.1 Dataset and Experiment Settings
5.2 Prediction Accuracy
5.3 Effectiveness of Approximation
5.4 Interpretation of the Results
6 Related Work
7 Conclusion and Future Work
References
Learning Detector of Malicious Network Traffic from Weak Labels
1 Introduction
2 Malware Detection
3 Multiple Instance Learning of Neyman Pearson Detector
3.1 Averaged Stochastic Gradient Descent
3.2 Baseline SVM Detector
4 Specification of the Datasets
5 Experiments
5.1 Main Results
5.2 Why Does MIL Work Better than SVM?
6 Conclusions
References
Online Analysis of High-Volume Data Streams in Astroparticle Physics
1 Introduction
2 Data Analysis in Cherenkov Astronomy
2.1 From Raw Data Acquisition to Spectral Analysis
2.2 Feature Extraction for Machine Learning
2.3 Signal Separation and Energy Estimation: Machine Learning
2.4 The Interdisciplinary Gap in Process Development
3 Online Data Analysis for the FACT Telescope
3.1 The streams Data Flow Framework
3.2 FACT-Tools: Processing Telescope Data
3.3 Integration of Machine Learning Libraries
4 Experiments
4.1 Gamma-Hadron Separation with WEKA Classifiers
4.2 Signal Separation with Local Models
4.3 Throughput Performance of the FACT-Tools
5 Summary and Conclusion
References
Robust Representation for Domain Adaptation in Network Security
1 Introduction
2 Problem Statement
3 Invariant Representation of Bags
3.1 Shift Invariance with Self-Similarity Matrix
3.2 Scale Invariance with Local Feature Normalization
3.3 Permutation and Size Invariance with Histograms
4 Online Similarity Learning
5 Application in Network Security
5.1 Specification of the Datasets
5.2 Experimental Evaluation
6 Conclusion
References
Safe Exploration for Active Learning with Gaussian Processes
1 Introduction
2 Related Work
3 Safe Exploration for Active Learning
3.1 Gaussian Processes
3.2 Exploration Strategy
3.3 Safety Constraint
3.4 Safe Active Learning: The Algorithm
4 Theoretical Analysis
5 Evaluations
6 Conclusion and Outlook
References
Semi-Supervised Consensus Clustering for ECG Pathology Classification
1 Introduction
2 ECG Pathology Classification
3 Semi-Supervised Consensus Clustering (SSCC)
4 Experiments
4.1 Data Description
4.2 Feature Extraction
4.3 Setup
4.4 Validation of the Algorithm: Benchmark Datasets
4.5 Application on Real Datasets: ECG MIT-BIH Database
5 Conclusions
References
Two Step Graph-Based Semi-supervised Learning for Online Auction Fraud Detection
1 Introduction
2 Data Description
2.1 Resources
2.2 Graph Construction
3 Proposed Approach
3.1 Problem Definition
3.2 Modified Adsorption (MAD)
3.3 MAD for Online Auction Fraud Detection
3.4 2-STEP Model
4 Experiments
4.1 Evaluation Metric
4.2 Methodology
4.3 Results
5 Discussion
6 Related Work
7 Conclusion
References
Watch-It-Next: A Contextual TV Recommendation System
1 Introduction
2 Background
2.1 Building Blocks
2.2 Related Work
3 Algorithms
3.1 Memory-Based Popularity Baselines
3.2 Collaborative Filtering Methods
3.3 Contextual Personalization
4 Experimental Settings
4.1 The Data
4.2 Emulating Inventories
4.3 Evaluation Metric
5 Experimental Results
5.1 Attributing Context to Users
5.2 The Exploratory Setting
5.3 The Habitual Setting
6 Conclusions and Future Work
References
Nectar Track
Bayesian Hypothesis Testing in Machine Learning
1 Introduction
2 Software
References
Data-Driven Exploration of Real-Time Geospatial Text Streams
1 Introduction and Problem Definition
2 Stream-Enabled X-means Clustering for Textual Data
3 Orchestrating Filters Based on Classification
4 Conclusion
References
Discovering Neutrinos Through Data Analytics
1 Introduction
2 Selection of Neutrinos Events
2.1 Data Preprocessing
2.2 Variable Selection
2.3 Performance of the Random Forest
3 Unfolding and the Resulting Energy Spectrum
4 Summary and Results
References
Listener-Aware Music Recommendation from Sensor and Social Media Data
1 Introduction
2 Automatic Playlist Adaptation Based on Sensor Data
3 Music Recommendation Based on Social Media Mining
4 Outlook
References
Logic-Based Incremental Process Mining
1 Introduction
2 A FOL-Based Proposal
3 Evaluation
4 Conclusions
References
Mobility Mining for Journey Planning in Rome
1 Introduction
2 PETRA System Components
2.1 Data Management
2.2 Mobility Mining
2.3 The Multi-modal Journey Planner
3 Case Study
3.1 Rome Data
3.2 Importing Rome's Data
3.3 Impact of Routines in Journey Planning
4 Conclusions
References
Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing
1 Pattern Structures in Formal Concept Analysis
2 Applications
References
Privacy Preserving Blocking and Meta-Blocking
1 Introduction
2 Privacy Preserving Blocking and Meta-Blocking
3 Conclusion and Future Work
References
Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform
1 Introduction
2 Methodology
2.1 Simulation Engine
2.2 Tracking Seasonal Flu with Social Data Mining
Inferring Initial Infections from Twitter.
Inferring Initial Infections from Influweb.
2.3 Generative Model Selection and Forecast Output
3 Conclusion
References
Star Classification Under Data Variability: An Emerging Challenge in Astroinformatics
1 Introduction
2 Cepheid Variable Star Classification
3 Conclusions and Remarks
References
The Evolution of Social Relationships and Strategies Across the Lifespan
References
Understanding Where Your Classifier Does (Not) Work
1 Introduction
2 Related Work
3 The SCaPE Model Class for EMM
4 Experimental Results
5 Conclusions
References
Visual Analytics Methodology for Scalable and Privacy-Respectful Discovery of Place Semantics from Episodic Mobility Data
1 Introduction
2 Problem Statement and Methodology Overview
3 Feasibility Studies
References
Will This Paper Increase Your h-index?
References
Demo Track
CardioWheel: ECG Biometrics on the Steering Wheel
1 Introduction
2 Target Users
3 System Overview
4 Demonstration Prototype
References
Data Patterns Explained with Linked Data
1 Introduction
2 Dedalo's Implementation
3 Demo Scenarios
References
Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams
1 Introduction
2 System Overview
3 Use Case: New York City
References
HiDER: Query-Driven Entity Resolution for Historical Data
1 Introduction
2 The HiDER System
3 Concluding Remarks
References
IICE: Web Tool for Automatic Identification of Chemical Entities and Interactions
1 Introduction
2 Architecture Overview
3 Web Tool
References
Interactively Exploring Supply and Demand in the UK Independent Music Scene
1 Introduction and Motivation
2 Data Collection
3 Overview of Interface
4 Conclusions
References
Monitoring Production Equipment in Remote Locations
1 Objectives
2 Project Implementation
3 Results
4 Innovative Aspe ects of the Project
5 Future Work
MultiNets: Web-Based Multilayer Network Visualization
1 Introduction
2 Implementation
3 Summary
References
OMEGA: An Order-Preserving SubMatrix Mining, Indexing and Search Tool
1 Introduction
2 The Architecture and Key Technologies of OMEGA
3 Demonstration
References
Probabilistic Programming in Anglican
1 Introduction
2 Design Outline
3 Usage Patterns
4 Anglican Examples
References
ProbLog2: Probabilistic Logic Programming
1 Introduction
2 Language
3 System Blocks
4 System Usage
References
Real Time Detection and Tracking of Spatial Event Clusters
Abstract.
1 Problem Setting
2 Approach
3 Example
References
S&P360: Multidimensional Perspective on Companies from Online Data Sources
1 Introduction
2 Architecture
2.1 Data Layer
2.2 Analytics
2.3 API
2.4 User Interface Layer
3 Demo on Real World Data
4 Video and Requirements
References
Scavenger -- A Framework for Efficient Evaluation of Dynamic and Modular Algorithms
1 Introduction
2 The Scavenger Framework
3 Case Study: Autoencoders
4 Conclusion
References
UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN
1 Introduction
2 UrbanHubble Tool
2.1 Architecture
2.2 Related Works
3 Conclusions
References
VIPER -- Visual Pattern Explorer
1 Introduction
2 Related Work
3 VIPER -- Visual Pattern Explorer
3.1 Preliminary User Study: Movie Ratings
4 Conclusions
References
Visualization Support to Interactive Cluster Analysis
1 Introduction
2 Interactive Two-Way Cluster Analysis of Spatial Time Series
References
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Machine Learning and Knowledge Discovery in Databases

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