The research group studies a new subfield of data compression - data structure compression. The new aspect compared to traditional compression is that the compressed data (structure) needs to be represented so that access to its internal parts is provided without uncompressing the whole structure. As an example, consider a binary tree of n nodes. It is possible to represent the tree succinctly using about 2n bits so that the children and parent of any node can be accessed in constant time. A standard link structure representation of a binary tree takes of order n log n bits.
In addition to providing new algorithms and data structures in the field of study, the group contributes by engineering open source implementations targeted to applications such as sequence analysis in Bioinformatics, full-text search in Database Systems, and retrieval of structured documents in Information Retrieval.
Read more at the group's page »
Last updated on 25 Apr 2013 by Ella Bingham - Page created on 23 Oct 2009 by Visa Noronen