Intelligent Data Analytics Lab.
(Introduction)
Research Focuses in the Group (In Year 2018)
1. Senatic Web Service with Deep Learning
- Ontology Generation with Deep Learning
- Service Recommendation with Ontology Generation
- Automatic Deep Learning Generation using Semantic Web Service Composition
- Intelligent Big Data Analysis Using Automatic Service Composition
2. Big Data Mining and Deep Learning
- Big Data Mining and Deep Learning
- Service Discovery and Selection for Big Data Analytics
- Semantic Document Classification using Deep Learning
- Knowledge Discovery of API on the Web Using Word Embedding with Deep Learning
3. Deep Learning for Natural Language
- Intelligent Chatbot with Ontology Learning and Deep Learning
- Natural Language Translation with Context using Deep Learning
- Classification of English Document to Consider Language Source
4. Deep Learning for Medical Care
- Brain Signal Analysis Using Deep Learning
- Medical Process Learning by Deep Learning
Research Topics in Year 2010 - 2015
- Service Discovery and Composition Based on Social Network
- Service Clustering and Visualization
- Word Similarity and Related Word Group Discovery
- Active Situation Awareness Framework and Smart Phone (Android) Application
- Business Application for Knowledge Sharing and Stock Price Predication System
- Automatic Service Composition(I): Non-Functional Property Transformation
- Automatic Service Composition(II): General AWSC Framework (Functional + Non-Functional)
- Automatic Service Composition(III): Choreography and Orchestration
- Multiple Workflow Coordination Agents for Automatic Service Composer
- Choreography of Business Workflow on Semantic Web
- Personalized Recommender and Search System using Data Mining
- Semantic Similarity of Word with Relation Using PLSI
- Text Classification using Machine Learning (SVM, Naïve Bayes, AdaBoost)
- Service Discovery and Composition Using Data Mining, Global Service Network
- Service Clustering With Ontology Learning and Machine Learning
- Analysis of Hadoop Big Data Infrastructure
- Optimal Data Block Arrangement on Geo-Distributed Big Data Infrastructure
- Energy Saving for Big Data Centers
- Automating Big Data Analytics Using Automatic Service Composition
- Application of Map-Reduce for Service Network