Data mining, Information retrieval, Mobile computing, Search engine indexing and Distributed computing are his primary areas of study. His Data mining research is multidisciplinary, relying on both Spatial database, Representation, Cluster analysis, k-nearest neighbors algorithm and Collaborative filtering. He works mostly in the field of Information retrieval, limiting it down to topics relating to World Wide Web and, in certain cases, Ubiquitous computing, as a part of the same area of interest.
His Mobile computing research also works with subjects such as
His scientific interests lie mostly in Data mining, Information retrieval, Computer network, Mobile computing and Distributed computing. His work deals with themes such as Overhead, Theoretical computer science, Spatial database, Search engine indexing and Search algorithm, which intersect with Data mining. As part of his studies on Information retrieval, Dik Lun Lee often connects relevant areas like Personalization.
His work in the fields of Cache and Atomic broadcast overlaps with other areas such as Dissemination and Access time. His Mobile computing research includes themes of Scalability, Wireless network, Real-time computing, Mobile search and Optimization problem. His Distributed computing research is multidisciplinary, incorporating elements of Object, Broadcasting and Cache invalidation.
His primary areas of study are Information retrieval, Recommender system, Data mining, Collaborative filtering and Search engine. His Information retrieval study integrates concerns from other disciplines, such as Ranking and Graph. His research is interdisciplinary, bridging the disciplines of Heuristic and Data mining.
His Collaborative filtering study combines topics in areas such as Factorization, Preference and Social network. The various areas that he examines in his Search engine study include Ranking, Relevance, Cluster analysis and Personalization. His biological study spans a wide range of topics, including Point of interest and Naive Bayes classifier.
Dik Lun Lee focuses on Information retrieval, Collaborative filtering, Artificial intelligence, Recommender system and Data mining. The study incorporates disciplines such as Ranking, Point of interest, Naive Bayes classifier and Social network in addition to Information retrieval. His research integrates issues of Ranking and Cluster analysis in his study of Ranking.
His studies deal with areas such as Biclustering, Preference, Mobile device and Identification as well as Collaborative filtering. His Artificial intelligence research includes elements of Tree and Machine learning. He usually deals with Data mining and limits it to topics linked to Search engine and Document clustering, Search engine indexing, Query expansion and Mobile computing.
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.
Exploiting geographical influence for collaborative point-of-interest recommendation
Mao Ye;Peifeng Yin;Wang-Chien Lee;Dik-Lun Lee.
international acm sigir conference on research and development in information retrieval (2011)
Document ranking and the vector-space model
D.L. Lee;Huei Chuang;K. Seamons.
IEEE Software (1997)
Location-based spatial queries
Jun Zhang;Manli Zhu;Dimitris Papadias;Yufei Tao.
international conference on management of data (2003)
A generic framework for monitoring continuous spatial queries over moving objects
Haibo Hu;Jianliang Xu;Dik Lun Lee.
international conference on management of data (2005)
IR-Tree: An Efficient Index for Geographic Document Search
Zhisheng Li;Ken C K Lee;Baihua Zheng;Wang-Chien Lee.
IEEE Transactions on Knowledge and Data Engineering (2011)
Data management in location-dependent information services
Dik Lun Lee;Jianliang Xu;Baihua Zheng;Wang-Chien Lee.
IEEE Pervasive Computing (2002)
Cache invalidation and replacement strategies for location-dependent data in mobile environments
Baihua Zheng;Jianliang Xu;D.L. Lee.
IEEE Transactions on Computers (2002)
Server Ranking for Distributed Text Retrieval Systems on the Internet
Budi Yuwono;Dik Lun Lee.
database systems for advanced applications (1997)
Semantic Caching in Location-Dependent Query Processing
Baihua Zheng;Dik Lun Lee.
symposium on large spatial databases (2001)
Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks
Huan Zhao;Quanming Yao;Jianda Li;Yangqiu Song.
knowledge discovery and data mining (2017)
Profile was last updated on December 6th, 2021.
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