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:
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

MARC

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520 |a 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. 
505 0 |a 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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