- Journal Article
This article provides a comprehensive description of text analytics directly on compression (TADOC), which enables direct document analytics on compressed textual data. The article explains the concept of TADOC and the challenges to its effective realizations. Additionally, a series of guidelines and technical solutions that effectively address those challenges, including the adoption of a hierarchical compression method and a set of novel algorithms and data structure designs, are presented. Experiments on six data analytics tasks of various complexities show that TADOC can save 90.8% storage space and 87.9% memory usage, while halving data processing times. © 2020 Springer-Verlag GmbH Germany. Show more
Journal / seriesThe VLDB Journal
Pages / Article No.
SubjectText analytics; Document analytics; Compression; Sequitur
Organisational unit09483 - Mutlu, Onur / Mutlu, Onur
MoreShow all metadata