Friday, October 16, 2020

[DMANET] Special Issue "Compressed Data Structures: Algorithms and Applications"

Journal: Algorithms
Special Issue "Compressed Data Structures: Algorithms and Applications"
Submission Deadline: 30 April, 2021

Dear Colleagues,

Compressed data structures is a thriving research area at the intersection
of data structures and data compression. The goal is to represent the data
in the most compact way possible so that these data can be queried
efficiently. The study of compressed data structures is motivated by the
constantly growing volumes of data that must be stored and processed and by
situations when the storage capacity is limited. Compressed data structures
are interesting in their own right and as a part of algorithms that work on
compressed data without decompressing it. Compressed data structures also
find numerous applications in other areas, e.g., they are used to reduce
the space consumption of geometric data structures. Although this area has
been extensively studied for over two decades, there are still a number of
important open questions.


We invite you to submit high-quality papers devoted to all aspects of
compressed data structures and their connections to other research areas.
Topics include but are not limited to:

- compressed and space-efficient data structures
- algorithms on compressed data
- applications of compressed data structures
- space-efficient data structures in computational geometry
- pattern matching

Both theoretical and experimental works will be considered. A more
detailed information about the submission process can be found at

https://www.mdpi.com/journal/algorithms/special_issues/Compressed_Data_Structures


Guest Editors
Dr. Meng He, Dalhousie University
Dr. Yakov Nekrich, Michigan Technological University

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