My Account Log in

1 option

Solving Large Scale Learning Tasks. Challenges and Algorithms : Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday / edited by Stefan Michaelis, Nico Piatkowski, Marco Stolpe.

SpringerLink Books Computer Science (2011-2024) Available online

View online
Format:
Book
Contributor:
Michaelis, Stefan, Editor.
Piatkowski, Nico, Editor.
Stolpe, Marco, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 9580
Lecture Notes in Artificial Intelligence, 2945-9141 ; 9580
Language:
English
Subjects (All):
Artificial intelligence.
Application software.
Computer networks.
Algorithms.
Data mining.
Database management.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Communication Networks.
Data Mining and Knowledge Discovery.
Database Management.
Local Subjects:
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Communication Networks.
Algorithms.
Data Mining and Knowledge Discovery.
Database Management.
Physical Description:
1 online resource (XIV, 387 pages) : 73 illustrations
Edition:
1st ed. 2016.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
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.
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.
Other Format:
Printed edition:
ISBN:
978-3-319-41706-6
9783319417066
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account