Data science, knowledge discovery and business intelligence have emerged as three active, practical and closely related areas, which can benefit deep data processing, data understanding, pattern analysis, and business intelligence for broad domains and sectors. Data science gets data ready and qualified for knowledge discovery and business intelligence, for smart decision and smart businesses.
Australia is one of the most active countries that sufficiently apply the advantages of data science, knowledge discovery and business intelligence in smart businesses and smart decision. Deeper and wider data processing and analysis and integrating with business intelligence have disclosed both many theoretical and practical issues and problems, in either applying the latest knowledge and techniques or expecting new, efficient and actionable knowledge, techniques and services in enterprise applications.
This international colloquium aims to foster a comprehensive forum for industry and government practitioners, vendors and business solution providers, and academic and students to exchange knowledge, skills, capabilities and lessons to promote the best and most actionable use of latest knowledge and techniques in the real-world enterprises, as well as lead to new opportunities for practice-based innovation and development, in an cross-disciplinary, cross-domain, and cross-country manner. An industry registrant can put his/her business questions, expectations to our online system when he/she registers it, the system will find the best matched student for him/her, the matched student will help the industry person to understand how the problem can be solved, by what techniques etc., a student is supervised by a senior experienced supervisor, the student can bring the hard questions to the supervisor, for the supervisor to meet the industry player to have a deeper discussion or even collaboration.
Colloquium Objectives
On completion of this three-day colloquium on Data Sciences, Knowledge Discovery, and Business Intelligence, attendees should have attained the following skills and knowledge:
- Fundamental knowledge and skills in data sciences;
- Fundamental knowledge and skills in knowledge discovery;
- Fundamental knowledge and skills in business intelligence;
- State-of-the-art knowledge and skills in data sciences;
- State-of-the-art knowledge and skills in knowledge discovery;
- State-of-the-art knowledge and skills in business intelligence;
- Recognise the open industrial and technical issues pertaining to smart business decisions in the real world;
- Recognise the latest commercial solutions and applications of business intelligence and data mining.
Colloquium outline
- Introduction to data sciences and engineering,
- Introduction to data mining and knowledge discovery,
- Introduction to business intelligence,
- Advanced techniques for data engineering,
- Advanced techniques for knowledge discovery,
- Advanced techniques for business intelligence,
- Real-world case studies,
- Latest commercial solutions to business intelligence and data mining,
- Tools demonstration
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Introduction
