C
Chengfei Liu
Researcher at Swinburne University of Technology
Publications - 261
Citations - 4461
Chengfei Liu is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: XML & Business process. The author has an hindex of 29, co-authored 244 publications receiving 3722 citations. Previous affiliations of Chengfei Liu include University of Technology, Sydney & IBM.
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Patent
Method, System, and Program for Merging Log Entries From Multiple Recovery Log Files
Serge Bourbonnais,Elizabeth B. Hamel,Bruce G. Lindsay,Chengfei Liu,Jens Stankiewitz,Tuong Chanh Truong +5 more
TL;DR: In this article, a method, system, and program for merging independent log entries in a multiple node shared nothing DBMS is presented, where log entries from multiple log entries are combined to form a single log entry sequence.
Journal ArticleDOI
Strong functional dependencies and their application to normal forms in XML
TL;DR: A syntactic definition of strong XFD satisfaction in an XML document is proposed and then justified by showing that, similar to the case in relational databases, for the case of simple paths, keys in XML are a special case of XFDs.
Journal ArticleDOI
Discover Dependencies from Data—A Review
TL;DR: This paper reviews the methods for functional dependency, conditional Functional Dependency, approximate functional Dependence, and inclusion dependency discovery in relational databases and a method for discovering XML functional dependencies.
Journal ArticleDOI
Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective
TL;DR: An integrated computing method to rescale heterogeneous traffic trajectory data, which leverages MLE and BIC is proposed and several important human mobility patterns are obtained and quite a few interesting phenomena are discovered, which lay a solid foundation for future research.
Proceedings ArticleDOI
Efficiently computing k-edge connected components via graph decomposition
TL;DR: A novel, efficient threshold-based graph decomposition algorithm, with time complexity O(l × |E|), to decompose a graph G at each iteration, where l usually is a small integer with l « |V|.