Good to the last bit: Data-driven encoding with codecdb

H Jiang, C Liu, J Paparrizos, AA Chien, J Ma… - Proceedings of the …, 2021 - dl.acm.org
Columnar databases rely on specialized encoding schemes to reduce storage
requirements. These encodings also enable efficient in-situ data processing. Nevertheless …

Learning to rank social bots

D Perna, A Tagarelli - Proceedings of the 29th on Hypertext and Social …, 2018 - dl.acm.org
Software robots, or simply bots, have often been regarded as harmless programs confined
within the cyberspace. However, recent events in our society proved that they can have …

Who is your best friend? ranking social network friends according to trust relationship

X Li, H Fang, Q Yang, J Zhang - Proceedings of the 26th Conference on …, 2018 - dl.acm.org
In online social networks (OSNs), eg Facebook, the relationship between users is binary, ie,
either friend (trust) or stranger (distrust). However, in real-world life, people always have …

Learning to lurker rank: An evaluation of learning-to-rank methods for lurking behavior analysis

D Perna, R Interdonato, A Tagarelli - Social Network Analysis and Mining, 2018 - Springer
While being long researched in social science and computer–human interaction, lurking
behaviors in online social networks (OSNs) have been computationally studied only in …

Efficient Lossless Compression in and Beyond Columnar Databases

H Jiang - 2021 - search.proquest.com
Columnar databases have dominated the data analysis market for their superior
performance in query processing with Big data. However, the extensive data size also brings …