Subject: 7-11 July -- Short Course & Workshop on Data Sciences, Knowledge Discovery and Business Intelligence sponsored by ACS, ARC EII, IBM/Cognos, SAS, SPSS, Mathworks, UTS, Fudan Univ. etc.

Content:

Australian Research Council EII member universities* staff and students, who wish to be considered for
funding support to cover registration, travel and accommodation to attend
DSKDBI09, should submit their application form directly to the EII Network
Manager via eii@eii.edu.au or fax 07-3365 3248.
*http://www.eii.edu.au/institutions.

ACS members will receive 10% discount on the rates.

Group bookings of five or more people will attract a 15% discount.

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2009 International Colloquium (Short Course and Workshop) on
Data Sciences, Knowledge Discovery and Business Intelligence (DSKDBI09)

Dates: 7 - 11 July 2009
Endorsed by:  The Australian Computer Society

Sponsored by:  University of Technology Sydney, Fudan University,
Australian Computer Society, Australian Research Council Research Network EII, IBM/Cognos, SAS, SPSS, MathWorks

http://datamining.it.uts.edu.au/colloquium/

Call for participants and abstracts for the Colloquium on Data Sciences,
Knowledge Discovery and Business Intelligence on 7 - 11 July at the University of Technology Sydney, Australia.

The Colloquium features five components:
1.    Business solutions provided by world-class vendors,
2.    Fundamentals,
3.    Advancements presented by world-class researchers,
4.    Enterprise applications introduced by world-class practitioners, and
5.    Workshops fostering a great forum for further research and
practice-based innovation.

What makes this colloquium unique?
.    Speakers: World-class senior researchers and practitioners
.    Topics: from data to smart decision thorough applying data science,
knowledge discovery to business intelligence
.    Content: combined one-stop solution including fundamentals,
advancements, business solutions, successful application case studies and
research forum
.    Forum with communication among industry/government units, professionals
and academics
.    Australian Computer Society Certificate
.    Australian Research Council Research Network EII
.    Special rate for full package
.    Special rate for Australian Computer Society members
.    Full pack registrants receive Gold Pass for A Reserve seats and lunch;
day-based registrants receive Silver Pass for B Reserve seats and lunch

Colloquium Objectives:

On completion of this five-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;
.    recognition of the open industrial and technical issues pertaining to
smart business decisions in the real world;
.    recognition of 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
.    Workshop for practice-based innovation and new development

Who are the main attendees?
.    Industrial/governmental business analysts,
.    Data management officers and managers
.    Data analysts and business intelligence managers
.    Knowledge officers and managers
.    Information officers and managers
.    Academic/students in database, data mining, machine learning, business
intelligence, decision support systems, business, and related areas.

As a data analyst, how can I benefit from this colloquium?
.    fundamental knowledge and skills in knowledge discovery
.    state-of-the-art knowledge and skills in knowledge discovery;
.    Latest commercial solutions to business intelligence and data mining
.    Real-world case studies
.    Discussions with experienced professionals

As a data/information/knowledge officer, how can I benefit from this
colloquium?
.    How to better manage your data/information and knowledge
.    How to better utilise your data/information and knowledge
.    New opportunities to smartly understand and explore your
data/information and knowledge
.    Fundamental and latest techniques, tools and case studies for smart use
of your data/information and knowledge

As a business decision-maker, how can I benefit from this colloquium?
.    Open new opportunities for improving your business efficiency,
productivity and competition
.    Latest and workable methodologies on effective management and use of
your data/information and knowledge for smart decision
.    Successful stories, experiences and skills and lessons of management
and use of your data/information and knowledge for smart decision
.    Discussions with well-known and well-experienced professionals for
opportunities of strengthening your business and decision-making

As an academic/student, how can I benefit from this colloquium?
.    Fundamental and advanced knowledge, skills and tools
.    Discussions with enterprise professionals
.    Opportunities for collaborating with industry/government partners
.    Real-world research issues

For more information, please refer to the attachments for call for
participants, call for abstract to the workshop, and registration form. You can also contact one of the contact people listed in the attached documents more details about this colloquium, or visit the website at:
http://datamining.it.uts.edu.au/colloquium/.