His scientific interests lie mostly in Data mining, Uncertain data, Database, Artificial intelligence and Association rule learning. A large part of his Data mining studies is devoted to Online analytical processing. His Uncertain data study combines topics from a wide range of disciplines, such as Cluster analysis and Pruning.
In Database, Ben Kao works on issues like Encryption, which are connected to Secure two-party computation and Private information retrieval. His work in Artificial intelligence addresses subjects such as Machine learning, which are connected to disciplines such as Software. His Association rule learning research includes elements of Information retrieval and Data science.
Ben Kao focuses on Data mining, Artificial intelligence, Database, Algorithm and Theoretical computer science. The concepts of his Data mining study are interwoven with issues in Set and Cluster analysis. His Artificial intelligence research is multidisciplinary, relying on both Machine learning, Pattern recognition and Natural language processing.
His work on Concurrency control, Database transaction, Optimistic concurrency control and Database testing as part of his general Database study is frequently connected to Service provider, thereby bridging the divide between different branches of science. His work in Theoretical computer science tackles topics such as Graph which are related to areas like Graph. In his study, Efficient algorithm is strongly linked to Pruning, which falls under the umbrella field of Uncertain data.
Ben Kao spends much of his time researching Artificial intelligence, Data mining, Graph, Theoretical computer science and Cluster analysis. Ben Kao interconnects Machine learning and Natural language processing in the investigation of issues within Artificial intelligence. Ben Kao studies Machine learning, namely Uncertain data.
His work on Uncertain data mining and Measure is typically connected to Throughput, Focus and Heterogeneous information as part of general Data mining study, connecting several disciplines of science. His Theoretical computer science research incorporates themes from Canonicalization and Relation. His biological study deals with issues like Pattern recognition, which deal with fields such as Robustness and Lasso.
His primary areas of study are Artificial intelligence, Natural language processing, Spectral clustering, Cluster analysis and Data mining. The study of Artificial intelligence is intertwined with the study of Masking in a number of ways. His work deals with themes such as Knowledge base and PERQ, which intersect with Natural language processing.
His biological study spans a wide range of topics, including Reachability, Range, Optimization problem, Robustness and Pattern recognition. His Cluster analysis study frequently links to adjacent areas such as Construct. His Data mining research is multidisciplinary, incorporating perspectives in Query throughput, Index and Synthetic data.
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.
Secure kNN computation on encrypted databases
Wai Kit Wong;David Wai-lok Cheung;Ben Kao;Nikos Mamoulis.
international conference on management of data (2009)
A General Incremental Technique for Maintaining Discovered Association Rules
David Wai-Lok Cheung;Sau Dan Lee;Ben Kao.
database systems for advanced applications (1997)
Mining frequent itemsets from uncertain data
Chun-Kit Chui;Ben Kao;Edward Hung.
knowledge discovery and data mining (2007)
Decision Trees for Uncertain Data
Smith Tsang;Ben Kao;Kevin Y Yip;Wai-Shing Ho.
IEEE Transactions on Knowledge and Data Engineering (2011)
Indexing multi-dimensional uncertain data with arbitrary probability density functions
Yufei Tao;Reynold Cheng;Xiaokui Xiao;Wang Kay Ngai.
very large data bases (2005)
Efficient Clustering of Uncertain Data
Wang Ngai;Ben Kao;Chun Chui;Reynold Cheng.
international conference on data mining (2006)
Uncertain data mining: an example in clustering location data
Michael Chau;Reynold Cheng;Ben Kao;Jackey Ng.
knowledge discovery and data mining (2006)
Deadline assignment in a distributed soft real-time system
B. Kao;H. Garcia-Molina.
IEEE Transactions on Parallel and Distributed Systems (1997)
Naive Bayes Classification of Uncertain Data
Jiangtao Ren;Sau Dan Lee;Xianlu Chen;Ben Kao.
international conference on data mining (2009)
Applying update streams in a soft real-time database system
B. Adelberg;H. Garcia-Molina;B. Kao.
international conference on management of data (1995)
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: