Raymond Chi-Wing Wong mainly focuses on Data mining, Theoretical computer science, Data publishing, Computer security and Artificial intelligence. Many of his research projects under Data mining are closely connected to Sliding window protocol and Ask price with Sliding window protocol and Ask price, tying the diverse disciplines of science together. The study incorporates disciplines such as Scalability, Spatial database, k-nearest neighbors algorithm, Algorithm and Point in addition to Theoretical computer science.
Raymond Chi-Wing Wong has researched Data publishing in several fields, including Adversary and k-anonymity. His k-anonymity study combines topics from a wide range of disciplines, such as Data anonymization, Information sensitivity and Identification. His work investigates the relationship between Artificial intelligence and topics such as Machine learning that intersect with problems in Quadratic programming.
His scientific interests lie mostly in Data mining, Theoretical computer science, Artificial intelligence, Algorithm and Data publishing. His research in the fields of Skyline overlaps with other disciplines such as Order. Raymond Chi-Wing Wong combines subjects such as Orders of magnitude, k-nearest neighbors algorithm, Graph, Function and Computation with his study of Theoretical computer science.
The various areas that Raymond Chi-Wing Wong examines in his Artificial intelligence study include Machine learning and Pattern recognition. His work deals with themes such as Adversary, Information sensitivity and Information privacy, k-anonymity, which intersect with Data publishing. His Information sensitivity research incorporates themes from Internet privacy and Anonymity.
Raymond Chi-Wing Wong mostly deals with Theoretical computer science, Information retrieval, Tuple, Data mining and Regret. His research integrates issues of Location intelligence, Server and K nearest neighbour in his study of Theoretical computer science. His study in Information retrieval is interdisciplinary in nature, drawing from both Range and Language model, Speech recognition.
The Tuple study combines topics in areas such as Dynamic problem, Orders of magnitude, Function, Ranking and Skyline. Raymond Chi-Wing Wong works mostly in the field of Data mining, limiting it down to concerns involving Location-based service and, occasionally, Piecewise constant approximation and Approximation algorithm. Raymond Chi-Wing Wong has included themes like Bridging and Mathematical optimization in his Regret study.
Raymond Chi-Wing Wong spends much of his time researching Tuple, Graph, Theoretical computer science, Data science and Graph neural networks. His Tuple research is multidisciplinary, incorporating perspectives in Bridging, Regret minimization, Regret, Information retrieval and Skyline. His Graph research incorporates elements of Algorithm and Recommender system.
His studies in Theoretical computer science integrate themes in fields like Function, Perspective and Real number. He undertakes multidisciplinary investigations into Data science and Work in his work.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
(α, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing
Raymond Chi-Wing Wong;Jiuyong Li;Ada Wai-Chee Fu;Ke Wang.
knowledge discovery and data mining (2006)
Minimality attack in privacy preserving data publishing
Raymond Chi-Wing Wong;Ada Wai-Chee Fu;Ke Wang;Jian Pei.
very large data bases (2007)
Efficient method for maximizing bichromatic reverse nearest neighbor
Raymond Chi-Wing Wong;M. Tamer Özsu;Philip S. Yu;Ada Wai-Chee Fu.
very large data bases (2009)
Collective spatial keyword queries: a distance owner-driven approach
Cheng Long;Raymond Chi-Wing Wong;Ke Wang;Ada Wai-Chee Fu.
international conference on management of data (2013)
Achieving k -anonymity by clustering in attribute hierarchical structures
Jiuyong Li;Raymond Chi-Wing Wong;Ada Wai-Chee Fu;Jian Pei.
data warehousing and knowledge discovery (2006)
Privacy preserving serial data publishing by role composition
Yingyi Bu;Ada Wai Chee Fu;Raymond Chi Wing Wong;Lei Chen.
very large data bases (2008)
On the Capacity of Multi-Channel Wireless Networks Using Directional Antennas
Hong-Ning Dai;Kam-Wing Ng;R.C.-W. Wong;Min-You Wu+.
international conference on computer communications (2008)
Can the Utility of Anonymized Data be Used for Privacy Breaches
Raymond Chi-Wing Wong;Ada Wai-Chee Fu;Ke Wang;Philip S. Yu.
ACM Transactions on Knowledge Discovery From Data (2011)
Direction-preserving trajectory simplification
Cheng Long;Raymond Chi-Wing Wong;H. V. Jagadish.
very large data bases (2013)
Data Mining for Inventory Item Selection with Cross-Selling Considerations
Raymond Chi-Wing Wong;Ada Wai-Chee Fu;Ke Wang.
Data Mining and Knowledge Discovery (2005)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: