This group bases at the Faculty of Computer Science and Information Technology, University Putra Malaysia, Malaysia.
There are five research areas currently undertaken by the Intelligent Computing Group at the Faculty of Computer Science and Information Technology, University Putra Malaysia namely, Data Mining, Intelligent Agents, Computational Linguistics, Evolutionary Computing and Bioinformatics. Data Mining and Intelligent Agents are ongoing projects, while Bioinformatics is still in its early stage.
There are five research areas currently undertaken by the Intelligent Computing Group at the Faculty of Computer Science and Information Technology, University Putra Malaysia namely, Data Mining, Intelligent Agents, Computational Linguistics, Evolutionary Computing and Bioinformatics. Data Mining and Intelligent Agents are ongoing projects, while Bioinformatics is still in its early stage.
Research on Data Mining focuses on two major techniques, which are classification and association rule mining for problems in large datasets. Particularly, we concentrate on building knowledge reduction models for data classification, as well as discovering strong association among data by various algorithms for searching frequent patterns. We aim to establish new techniques that can intelligently transform massive data into useful information and knowledge.
Research on Intelligent Agents narrows down to social agents, which is one of the main characteristics of intelligent agents. We focus on building learnable conversational agents via corpus-based methods. This covers a wide range of subtasks from dialogue act recognition to response generation. We envision an open-domain, portable architecture that can cover variety of business background such as theater reservation system, train ticket booking system, or help-desk system.
In evolutionary computing and optimization, finding a better algorithm for solving various combinatorial problem is our main concern. We are focusing on improving meta-heuristic techniques in solving university timetabling and agricultural problems involving optimization in planting areas and crop systems.
The semantic and natural language processing unit in this group believes that this area is going to be a key role in advance computing. We are dealing with the semantic knowledge representation of texts and focus on transforming the learned rules into a model reusable by computer programs. This will enable automation and enable seamless interoperation between systems, whereby human intervention is kept at a minimum. The technology roadmap we cover include ontology languages, flexible storage and querying facilities, reasoning engines and pattern recognition.