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Introduction
to Colloquium on
Data Sciences, Knowledge Discovery and Business Intelligence
DSKDBI Colloquium Series
DSKDBI Colloquium
Introduction
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. 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.
DSKDBI (Data Sciences,
Knowledge Discovery and Business Intelligence) Colloquium is a forum
organized by Data
Sciences & Knowledge Discovery Research Lab for key vendors, industry
players and academics in the areas of data quality, data analysis, data
engineering and data mining to share the core business problems, latest
solutions and technologies, as well as experiences and lessons in enterprise
data mining and analysis.
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 into our system.
We 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 the colloquium on Data Sciences, Knowledge Discovery, and
Business Intelligence, attendees are expected to 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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