Wen-Chih Peng mostly deals with Data mining, Mobile computing, Distributed computing, Scalability and Computer network. Wen-Chih Peng has included themes like Representation, Key and Cluster analysis in his Data mining study. In his study, Reduction and Replication is strongly linked to Wireless, which falls under the umbrella field of Mobile computing.
His Distributed computing research incorporates themes from Key distribution in wireless sensor networks, Wireless sensor network and Mobile database. His biological study spans a wide range of topics, including Maximization, Social network, Artificial intelligence, Machine learning and Community structure. His Inference and Collective intelligence study in the realm of Artificial intelligence connects with subjects such as Collaborative learning and Graph.
Wen-Chih Peng spends much of his time researching Data mining, Mobile computing, Cluster analysis, Artificial intelligence and Distributed computing. His Data mining research integrates issues from Scalability and Global Positioning System. His Scalability study combines topics in areas such as Maximization and Social network.
The concepts of his Mobile computing study are interwoven with issues in Server, Atomic broadcast and Mobile search. Wen-Chih Peng has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition. His research investigates the connection with Distributed computing and areas like Wireless sensor network which intersect with concerns in Wireless network.
Wen-Chih Peng mainly investigates Data mining, Social network, Set, Machine learning and Artificial intelligence. In his papers, he integrates diverse fields, such as Data mining and Interval. His studies deal with areas such as Skyline, Reliability and Data science as well as Social network.
He combines subjects such as Iterative method, Scalability, Relation and Warning system with his study of Machine learning. His study in the field of Semi-supervised learning is also linked to topics like Health care, Health examination, Real-time bidding and Graph. His Maximization research is multidisciplinary, relying on both Key and Mobility model.
His scientific interests lie mostly in Data mining, Graph, Social network, Machine learning and Artificial intelligence. Wen-Chih Peng interconnects Representation and Maximization in the investigation of issues within Data mining. His Graph study spans across into areas like PageRank, Centrality, Theoretical computer science, Closeness and Betweenness centrality.
His research integrates issues of Key and Mobility model in his study of Social network. His studies in Machine learning integrate themes in fields like Iterative method and Warning system. His research in Artificial intelligence intersects with topics in Scalability and Relation.
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.
Constructing popular routes from uncertain trajectories
Ling-Yin Wei;Yu Zheng;Wen-Chih Peng.
knowledge discovery and data mining (2012)
Efficient in-network moving object tracking in wireless sensor networks
Chih-Yu Lin;Wen-Chih Peng;Yu-Chee Tseng.
IEEE Transactions on Mobile Computing (2006)
Protecting Moving Trajectories with Dummies
Tun-Hao You;Wen-Chih Peng;Wang-Chien Lee.
mobile data management (2007)
Particle Swarm Optimization With Recombination and Dynamic Linkage Discovery
Ying-Ping Chen;Wen-Chih Peng;Ming-Chung Jian.
systems man and cybernetics (2007)
On Discovery of Traveling Companions from Streaming Trajectories
Lu-An Tang;Lu-An Tang;Yu Zheng;Jing Yuan;Jing Yuan;Jiawei Han.
international conference on data engineering (2012)
Clustering and aggregating clues of trajectories for mining trajectory patterns and routes
Chih-Chieh Hung;Wen-Chih Peng;Wang-Chien Lee.
very large data bases (2015)
CIM: Community-Based Influence Maximization in Social Networks
Yi-Cheng Chen;Wen-Yuan Zhu;Wen-Chih Peng;Wang-Chien Lee.
ACM Transactions on Intelligent Systems and Technology (2014)
Developing data allocation schemes by incremental mining of user moving patterns in a mobile computing system
Wen-Chih Peng;Ming-Syan Chen.
IEEE Transactions on Knowledge and Data Engineering (2003)
Using sensorranks for in-network detection of faulty readings in wireless sensor networks
Xiang-Yan Xiao;Wen-Chih Peng;Chih-Chieh Hung;Wang-Chien Lee.
data engineering for wireless and mobile access (2007)
Energy-Balanced Dispatch of Mobile Sensors in a Hybrid Wireless Sensor Network
You-Chiun Wang;Wen-Chih Peng;Yu-Chee Tseng.
IEEE Transactions on Parallel and Distributed Systems (2010)
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: