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.
Our work on Data Mining focuses on- classification and association rule mining
- knowledge reduction models for data classification
- discovering strong association among data
- searching frequent patterns.
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.
Our work on Data Mining focuses on- classification and association rule mining
- knowledge reduction models for data classification
- discovering strong association among data
- searching frequent patterns.
For Intelligent Agents, we narrow 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.
- dialogue act recognition to response generation.
- building learnable conversational agents via corpus-based methods.
- dialogue act recognition to response generation.
- open-domain, portable architecture that can cover variety of business background
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.
Our work in Bioinformatics deals with
- genome annotation and protein docking for drug discoveries
- genes alteration by genes identification, DNA transfer, and other features so we can make initial assignment of function to those genes.
- scalability software system for dynamic changing biological environment requirement.
- genome annotation and protein docking for drug discoveries
- genes alteration by genes identification, DNA transfer, and other features so we can make initial assignment of function to those genes.
- scalability software system for dynamic changing biological environment requirement.
most researchers in a research group tend to be *too* diversified.
ReplyDeletewouldnt it be better if you all could work on centrally related research theme and help each other?
Hello, thank you for your comment. We have recently realigned our team. The update on the new structure will be announced soon.
ReplyDelete