SIS PUT | Context Similarity for Retrieval-Based Imputation

Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Menu

Scientific Information System of the Poznań University of Technology

PL EN

Main page / Publications / Context Similarity for Retrieval-Based Imputation

Submit a comment

Chapter

Download BibTeX

Title

Context Similarity for Retrieval-Based Imputation

Authors

Ahmad Ahmadov
Maik Thiele
Wolfgang Lehner
Robert Wrembel (WI) ^{[ 1 ][ 2.3 ][ P ]}

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2017

Chapter type

chapter in monograph / paper

Publication language

english

Pages (from - to)

1017 - 1024

DOI

10.1145/3110025.3110161

URL

https://dl.acm.org/citation.cfm?doid=3110025.3110161

Book

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining : ASONAM '17

Presented on

IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, 06.2017 - 03.08.2017, Sydney, Australia

Ministry points / chapter

20

System created by Poznań University of Technology and Poznan Supercomputing and Networking Center

Log in through eKonto to add to SIS

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.