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Wendy Osborn

Observed names: Osborn, Wendy, Osborn, Wendy Kathleen, W. Osborn, W.K. Osborn
ORCID: 0000-0002-9566-0305
Observed ORCID: 0000-0002-9566-0305
OpenAlex ID: A5024916850
TIP-tree: A spatial index for traversing locations in context-aware mobile access to digital libraries
2013 · Wendy Osborn, Annika Hinze · Pervasive and Mobile Computing · 9
Exploring Bit Arrays for Join Processing in Spatial Data Streams
2019 · Wendy Osborn · Advances in intelligent systems and computing · 8
mqr-tree: A 2-dimensional Spatial Access Method
2012 · Moreau, Marc, Osborn, Wendy · arXiv (Cornell University) · 8
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Issues in Location-Based Indexing for Co-operating Mobile Information Systems
2007 · Wendy Osborn, Annika Hinze · Springer eBooks · 7
The 2DR-tree: a 2-dimensional spatial access method
2004 · Osborn, Wendy Kathleen · Libraries and Cultural Resources (University of Calgary) · 7
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Efficient Distributed Spatial Semijoins and Their Application in Multiple-Site Queries
2014 · Nawshad Farruque, Wendy Osborn · IEEE International Conference on Advanced Information Networking and Applications (AINA) · 6
Using Spatial Semijoins Over Multiple Sites in Distributed Spatial Query Processing
2016 · Wendy Osborn, Saad Zaamout · Canadian Journal of Electrical and Computer Engineering · 5
An Insertion Strategy for a Two-dimensional Spatial Access Method
2007 · Wendy Osborn, Ken Barker · International Conference on Enterprise Information Systems · 5
Database system design for energy economization of smart home energy services
2017 · Shamria Sabatina Latif, Wendy Osborn · IEEE International Conference on Smart Energy Grid Engineering (SEGE) · 4
Multiple-Site Distributed Spatial Query Optimization using Spatial Semijoins
2012 · Wendy Osborn, Saad Zaamout · 4
The mqr-tree: Improving upon a 2-dimensional spatial access method
2009 · Marc Moreau, Wendy Osborn, et al. · International Conference on Digital Information Management · 4
Extending Greenstone for Institutional Repositories
2006 · David Bainbridge, Wendy Osborn, et al. · Lecture notes in computer science · 4
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Searching through spatial relationships using the 2DR-tree.
2006 · Wendy Osborn, Ken Barker · 4
The use of reduction filters in distributed query optimization
1998 · Wendy Osborn · Library and Archives Canada (Government of Canada) · 4
An Iterative Strategy for Deep Learning Classification on Spatial Data Streams
2021 · Wendy Osborn, Liam King · 3
Approximate Continuous Nearest Neighbour Query Processing in Clustered Point Sets
2020 · Wendy Osborn, Cole Anderson · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) · 3
A k-nearest Neighbour Query Processing Strategy Using the mqr-tree
2017 · Wendy Osborn · Lecture notes on data engineering and communications technologies · 3
Location-based indexing for mobile context-aware access to a digital library
2007 · Annika Hinze, Wendy Osborn · Research Commons (University of Waikato) · 3
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A cross-platform solution for bibliographic record manipulation in digital libraries
2007 · Wendy Osborn, Daljit Kaur, et al. · 3
Distributed query optimization using reduction filters
2002 · J.M. Morrissey, W.K. Osborn · IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) · 3
Batch Processing Algorithms for NewSQL-based Big Data Systems
2025 · Naveen Kumar Vadlamudi, Wendy Osborn · IEEE Annual Computers, Software, and Applications Conference (COMPSAC) · 2
Unbounded Spatial Data Stream Query Processing using Spatial Semijoins
2021 · Wendy Osborn · Journal of Ubiquitous Systems and Pervasive Networks · 2
Data Stream Query Processing on Mobile Devices
2020 · Mitra Kazemzadeh, Wendy Osborn · International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) · 2
Continuous Region Query Processing in Clustered Point Sets
2019 · Wendy Osborn, Farzin Keykavoos · Procedia Computer Science · 2
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Continuous k-Nearest Neighbour Strategies Using the mqrtree
2018 · Wendy Osborn · Lecture notes on data engineering and communications technologies · 2
Works count: 65
Citation count: 137
H-index: 6
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