Overview
- Contains refereed papers dedicated to Katharina Morik and to her work
- Collects a number of papers by Prof. Morik's friends and collaborators over the years presenting a broad range of topics reflecting her versatility
- Adresses a large diversity of topics starting with natural language processing; machine learning, ranging from inductive logic programming to statistical learning; analysis of very large data collections; high-dimensional data; and resource awareness. Latest results include spatio-temporal random fields and integer Markov random fields, both allowing for complex probabilistic graphical models under resource constraints.
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9580)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (21 chapters)
-
Front Matter
Keywords
- big data analytics
- distributed data mining
- high-performance computing
- social network analysis
- spatio-temporal analysis
- attributed graph mining
- classification
- evaluation
- event detection
- markov process
- mining social media
- mobility data mining
- ontology
- single and multiagent learning
- social media
- support vector machines
- supporting teachers
- user understanding
- validation
- wireless sensor networks
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Solving Large Scale Learning Tasks. Challenges and Algorithms
Book Subtitle: Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday
Editors: Stefan Michaelis, Nico Piatkowski, Marco Stolpe
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-41706-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-41705-9Published: 03 July 2016
eBook ISBN: 978-3-319-41706-6Published: 02 July 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 387
Number of Illustrations: 73 b/w illustrations
Topics: Artificial Intelligence, Information Systems Applications (incl. Internet), Computer Communication Networks, Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery, Database Management
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications