38 citations · 77 across the 10 of their papers we have counts for
10 papers
Efficient and Optimal Algorithms for Tree Summarization with Weighted Terminologies
Xuliang Zhu, Xin Huang, Byron Choi +4
Data summarization that presents a small subset of a dataset to users has been widely applied in numerous applications and systems. Many datasets are coded with hierarchical termin…
Exploiting Review Neighbors for Contextualized Helpfulness Prediction
Jiahua Du, Jia Rong, Hua Wang +1
Helpfulness prediction techniques have been widely used to identify and recommend high-quality online reviews to customers. Currently, the vast majority of studies assume that a re…
Online Social Media Recommendation over Streams
Xiangmin Zhou, Dong Qin, Xiaolu Lu +2
As one of the most popular services over online communities, the social recommendation has attracted increasing research efforts recently. Among all the recommendation tasks, an im…
A Study of Tourist Sequential Activity Patterns through Location Based Social Network (LBSN)
Anmoila Talpur, Yanchun Zhang
Sequential Pattern Mining is an important component in establishing patterns and mining trends of certain activities. Insights into tourist movement and activity patterns is deemed…
Ensuring Data Integrity in Electronic Health Records: A Quality Health Care Implication
P. Vimalachandran, H. Wang, Y. Zhang +2
An Electronic Health Record (EHR) system must enable efficient availability of meaningful, accurate and complete data to assist improved clinical administration through the develop…
Preserving Patient-centred Controls in Electronic Health Record Systems: A Reliance-based Model Implication
Pasupathy Vimalachandran, Hua Wang, Yanchun Zhang +2
As a consequence of the huge advancement of the Electronic Health Record (EHR) in healthcare settings, the My Health Record (MHR) is introduced in Australia. However security and p…
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams
Jiangang Ma, Le Sun, Hua Wang +2
Uncertain data streams have been widely generated in many Web applications. The uncertainty in data streams makes anomaly detection from sensor data streams far more challenging. I…
Refining Adverse Drug Reactions using Association Rule Mining for Electronic Healthcare Data
Jenna M. Reps, Uwe Aickelin, Jiangang Ma +1
Side effects of prescribed medications are a common occurrence. Electronic healthcare databases present the opportunity to identify new side effects efficiently but currently the m…
Efficient Truss Maintenance in Evolving Networks
Rui Zhou, Chengfei Liu, Jeffrey Xu Yu +2
Truss was proposed to study social network data represented by graphs. A k-truss of a graph is a cohesive subgraph, in which each edge is contained in at least k-2 triangles within…
On Eavesdropper-Tolerance Capability of Two-Hop Wireless Networks
Yuanyu Zhang, Yulong Shen, Hua Wang +1
Two-hop wireless network serves as the basic net-work model for the study of general wireless networks, while cooperative jamming is a promising scheme to achieve the physi-cal lay…