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Solving Large Scale Learning Tasks. Challenges and Algorithms: Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday

1st ed. 2016., 2016

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Detecting Events in Online Social Networks: Definitions, Trends and Challenges

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.42-84

2016

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Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten

Automatisierungstechnik : AT, 2016-07, Vol.64 (7), p.521-533

2016

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Quality Prediction in Interlinked Manufacturing Processes based on Supervised & Unsupervised Machine Learning

Procedia CIRP, 2013, Vol.7, p.193-198

2013

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Online Social Networks Event Detection: A Survey

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.1-41

2016

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Learning from Label Proportions by Optimizing Cluster Model Selection

Machine Learning and Knowledge Discovery in Databases, 2011, p.349-364

2011

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Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.286-299

2016

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Why Do We Need Data Privacy?

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.85-95

2016

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SCHEP --- A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.272-285

2016

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Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.184-207

2016

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Machine Learning under Resource Constraints - Applications

1, 2022

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Distributed analysis of vertically partitioned sensor measurements under communication constraints

Stolpe, Marco

2017

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Sustainable Industrial Processes by Embedded Real-Time Quality Prediction

Computational Sustainability, 2016, Vol.645, p.201-243

2016

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Managing and Mining Sensor Data

1. Aufl., 2013

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Knowledge Discovery from Complex High Dimensional Data

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.148-167

2016

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On Event Detection from Spatial Time Series for Urban Traffic Applications

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.221-233

2016

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Local Pattern Detection in Attributed Graphs

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.168-183

2016

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Understanding Human Mobility with Big Data

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.208-220

2016

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Data-Driven Analyses of Electronic Text Books

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.362-376

2016

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The Internet of Things: Opportunities and Challenges for Distributed Data Analysis

SIGKDD explorations, 2016-08, Vol.18 (1), p.15-34

Stolpe, Marco

2016

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Distributed Support Vector Machines: An Overview

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.109-138

2016

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Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.331-345

2016

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Ontology-Based Classification – Application of Machine Learning Concepts Without Learning

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.320-330

2016

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Compressible Reparametrization of Time-Variant Linear Dynamical Systems

Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016, Vol.9580, p.234-250

2016

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Solving Large Scale Learning Tasks. Challenges and Algorithms: Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday

Detecting Events in Online Social Networks: Definitions, Trends and Challenges

Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten

Quality Prediction in Interlinked Manufacturing Processes based on Supervised & Unsupervised Machine Learning

Online Social Networks Event Detection: A Survey

Learning from Label Proportions by Optimizing Cluster Model Selection

Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015

Why Do We Need Data Privacy?

SCHEP --- A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space

Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media

Machine Learning under Resource Constraints - Applications

Distributed analysis of vertically partitioned sensor measurements under communication constraints

Sustainable Industrial Processes by Embedded Real-Time Quality Prediction

Managing and Mining Sensor Data

Knowledge Discovery from Complex High Dimensional Data

On Event Detection from Spatial Time Series for Urban Traffic Applications

Local Pattern Detection in Attributed Graphs

Understanding Human Mobility with Big Data

Data-Driven Analyses of Electronic Text Books

The Internet of Things: Opportunities and Challenges for Distributed Data Analysis

Distributed Support Vector Machines: An Overview

Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction

Ontology-Based Classification – Application of Machine Learning Concepts Without Learning

Compressible Reparametrization of Time-Variant Linear Dynamical Systems

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