Efficient representative subset selection over sliding windows

Y Wang, Y Li, KL Tan - IEEE Transactions on Knowledge and …, 2018 - ieeexplore.ieee.org
Representative subset selection (RSS) is an important tool for users to draw insights from
massive datasets. Existing literature models RSS as the submodular maximization problem …

Continuously tracking core items in data streams with probabilistic decays

J Zhao, P Wang, J Tao, S Zhang… - 2020 IEEE 36th …, 2020 - ieeexplore.ieee.org
The sheer scale of big data causes the information overload issue and there is an urgent
need for tools that can draw valuable insights from massive data. This paper investigates the …

River: A real-time influence monitoring system on social media streams

M Sha, Y Li, Y Wang, W Guo… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Social networks generate a massive amount of interaction data among users in the form of
streams. To facilitate social network users to consume the continuously generated stream …

[PDF][PDF] A real-time influence monitoring system on social media stream.(2018)

M SHA, Y LI, Y WANG, W GUO, KLR TAN - IEEE International Conference on … - core.ac.uk
Social networks generate a massive amount of interaction data among users in the form of
streams. To facilitate social network users to consume the continuously generated stream …

[PDF][PDF] TAN, Kian-Lee. Efficient representative subset selection over sliding windows.(2018)

Y WANG, Y LI - IEEE Transactions on Knowledge and Data … - core.ac.uk
Representative subset selection (RSS) is an important tool for users to draw insights from
massive datasets. Existing literature models RSS as the submodular maximization problem …

[PDF][PDF] Institutional Knowledge at Singapore Management Universit y

GOH Yihan, PW LEE, CH THAM - Annual Review of …, 2015 - ink.library.smu.edu.sg
12.1 The coincidence of offer and acceptance is a basic but necessary requirement of every
valid contract. Whether this requirement is satisfied is largely dependent on the precise facts …