Hide and Mine in Strings: Hardness, Algorithms, and Experiments-Reference-Cited by-同舟云学术

Hide and Mine in Strings: Hardness, Algorithms, and Experiments

Published:2022 Issue: Volume: Page:1-1
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Bernardini Giulia,Conte Alessio,Gourdel Garance,Grossi Roberto,Loukides Grigorios,Pisanti Nadia,Pissis Solon,Punzi Giulia,Stougie Leen,Sweering Michelle

Funder

Universit di Pisa

Leverhulme Trust

NWO

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09732522.pdf?arnumber=9732522

Reference68 articles.

1. An efficient polynomial space and polynomial delay algorithm for enumeration of maximal motifs in a sequence

2. OnlineCM: Real-time Consensus Classification with Missing Values

3. Sequential Pattern Mining

4. Missing value imputation improves clustering and interpretation of gene expression microarray data

5. Health and Big Data: An Ethical Framework for Health Information Collection by Corporate Wellness Programs

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