The Intelligent Computing Group bases at the Faculty of Computer Science and Information Technology, University Putra Malaysia, Malaysia.
We aim to establish new techniques that can intelligently transform massive data into useful information and knowledge. Our research is themed by 5 main areas namely data mining, intelligent agent, computational linguistics/semantic, evolutionary computing and bioinformatics.
Research on data mining focuses on four major techniques, which are classification, association rule mining for problems in large datasets, and web usage mining. 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. We are also solving problems in medical field such for pre and post treatment of coronary artery disease patients and developing an Intelligent Decision Support System (iDSS) and in security field such as in Intrusion Detection System (IDS). Other fields that we apply data mining are finger print recognition, and hand written recognition.
We aim to establish new techniques that can intelligently transform massive data into useful information and knowledge. Our research is themed by 5 main areas namely data mining, intelligent agent, computational linguistics/semantic, evolutionary computing and bioinformatics.
Research on data mining focuses on four major techniques, which are classification, association rule mining for problems in large datasets, and web usage mining. 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. We are also solving problems in medical field such for pre and post treatment of coronary artery disease patients and developing an Intelligent Decision Support System (iDSS) and in security field such as in Intrusion Detection System (IDS). Other fields that we apply data mining are finger print recognition, and hand written recognition.
The research on Intelligent Agents, we highlights on social 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.
As for research on bioinformatics, we would like to focus on genome annotation, which is marking the genes and other biological features in a DNA sequence. Our aim is to implement a software system that is able to locate the genes, the transfer RNA, and other features so we can make initial assignment of function to those genes. Since most current genome annotation system are constantly changing and improving, our utmost goal is scalability of the software system to meet up with research demand. We are also interested to develop a computational method for docking small molecules to protein – to perform patent matching between receptor (protein) and drug for diseases or approach for the discovery of potential lead compound for drug development.
