Solving large scale learning tasks : challenges and algorithms : essays dedicated to Katharina Morik on the occasion of her 60th birthday /

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Bibliographic Details
Imprint:	Switzerland : Springer, 2016.
Description:	1 online resource (xiv, 387 pages) : illustrations
Language:	English
Series:	Lecture notes in artificial intelligence, 0302-9743 ; 9580 LNCS sublibrary. SL 7, Artificial intelligence Lecture notes in computer science. Lecture notes in artificial intelligence ; 9580. LNCS sublibrary. SL 7, Artificial intelligence.
Subject:	Big data. Online social networks. Big data. Online social networks. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11264472

Hidden Bibliographic Details
Other authors / contributors:	Michaelis, Stefan, editor. Piatkowski, Nico, editor. Stolpe, Marco, editor. Morik, Katharina, honouree.
ISBN:	9783319417066 3319417061 3319417053 9783319417059 9783319417059
Digital file characteristics:	text file PDF
Notes:	Includes author index. Includes bibliographical references and index. Online resource; title from PDF title page (SpringerLink, viewed July 11, 2016).
Summary:	In celebration of Prof. Morik's 60th birthday, this Festschrift covers research areas that Prof. Morik worked in and presents various researchers with whom she collaborated. The 23 refereed articles in this Festschrift volume provide challenges and solutions from theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms, feature selection and feature generation, optimization as well as efficiency of energy and communication.
Other form:	Printed edition: 9783319417059
Standard no.:	10.1007/978-3-319-41706-6

Table of Contents:

Online Social Networks Event Detection
Detecting Events in Online Social Networks: Definitions, Trends and Challenges
Why do we need data privacy
Sharing Data with Guaranteed Privacy
Distributed Support Vector Machines
Big Data Classification? Aspects on Many Features
Knowledge Discovery from Complex High Dimensional Data
Local Pattern Detection in Attributed Graphs
Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media
Understanding Human Mobility with Big Data
On Event Detection from Spatial Time series for Urban Traffic Applications
Compressible Reparametrization of Time-Variant Linear Dynamical Systems
Detection of Local Intensity Changes in Grayscale Images with Robust Methods for Time-Series Analysis
SCHEP? A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space
Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015
Collaborative on line learning of an action model
Ontology-based Classification? Application of Machine Learning Concepts without Learning
Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction
Supervised Extraction of Usage Patterns in Different Document Representations
Data-Driven Analyses of Electronic Text Books
k-Morik: Mining Patterns to Classify Cartified Images of Katharina.

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