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Training Course:

Decision Support Systems

School/Trainer:

Macquarie University Department of Statistics
North Ryde, NSW, Australia

Course Format: Classroom | E-learning | Virtual Class | Online/Live | On-site/In-house | Blended | Self-paced

Course Description:

'' Decision support systems provide information to support semi-structured and unstructured decisions in modern organisations. The decision support systems studied in this unit are computer based and provide for user manipulation of source data extracted from databases both internal and external to the organisation. Students will study decision support systems involving: Data Warehousing and Data Marts, Online Analytic Processing, Data Mining, and Geographic Information Systems. The unit will be taught using modern software including SPSS Clementine and the popular GIS package MapInfo. Available to graduate students both in Business and in Applied Statistics, this unit expands on topics covered in MIST800 Computer Applications in Business.

Topics

Data Mining: Principles and Concepts
Data Mining: Data Warehouse and OLAP Technology
Data Mining: Data Preprocessing (Missing values, noisy data, inconsistent data)
Data Mining: Concept hierarchies, interestingness measures & visualisation
Data Mining: Descriptive data mining
Data Mining: Mining Association Rules - Market Basket Analysis
Data Mining: Classification and Prediction
Data Mining: Cluster Analysis
GIS: Introduction �presenting business geographic data
GIS: Active earth maps
GIS: Maps with hyperlinks
GIS: Contour maps
...''

Elements of this syllabus are subject to change.

Please go to the school's official website for training price and schedule:
http://www.stat.mq.edu.au/

Phone:+61 2 9850 7111

School Address/Venue(s):

Macquarie University
Balaclava Road, North Ryde,
New South Wales
2109 Australia


Jobs & Resumes: North Ryde
Houses & Roommates: North Ryde

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Other training courses offered by Macquarie University Department of Statistics:

Computer Applications in Business
Information Management
Web-database Engineering
Applied Business Techniques


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