University of Technology Sydney

AAI17008 - Data Mining - Stage 1 (Introduction)

<p>Data Mining – Stage 1 is an introduction to the foundations of data mining and knowledge discovery methods and their application to practical problems. Part of a two (2) stage Program this short course brings together the state-of-the-art research and practical techniques in data mining, providing students with the necessary knowledge to appreciate data mining projects and to professionally communicate with analytics experts.<br></p> <p><b>This program is particularly useful for</b><br> All those involved in Data Mining for their organisation:</p> <ul><li>Industry Practitioners wanting to get into data mining <li>Managers wanting to know what data mining is about <li>Students, Researchers, Academic </ul> <p><b>Stage 1 Short Course topics</b><br></p> <ul><li> Introduction to data mining concepts and the broader context and KNIME analytic software <li> The CRISP-DM approach to predictive modelling such as classifiers and predictors <li> Fundamental to pre-processing and data sampling <li> Introduction to K-Nearest Neighbour classifier and predictor <li> Introduction to Decision tree predictor and classifier <li> Predictive modelling evaluation</ul> <p><b>Course Outcomes</b><br> Upon completion of this course students will: <br></p> <ul><li>Understand how data mining fits into the business and society context <li>Understand key terms and concepts in data mining <li>Be familiar with an approach for structuring data mining projects <li>Understand the basics of working with data <li>Understand the scope and limitations of several state-of-the-art mining </ul> <p><b>Presenter</b><p> <b> Siamak Tafavogh</b> is a UTS Adjunct Academic, School of Software Dr. Siamak Tafavogh: Siamak Tafavogh has a PhD in Machine Learning from UTS. Dr. Tafavogh has experience of working as a data scientist with a number of leading Australian companies such as Commonwealth Bank Of Australia (CBA) and Coca Cola Amatil (CCA). Currently he is working in CCA as a data scientist lead. Dr. Tafavogh taught data mining and data analytics at undergraduate, postgraduate and research level at UTS for the past 3 years. Dr. Tafavogh's research interests are in the area of big data, data analytics and visualization of large complex data sets. particularly those in finance, marketing, biomedical domains and also in customer sales and text mining.<br></p> <p><b>Prerequisites: Pre-reading</b><p> <a href="">Wikipedia Data Mining</a></p> <p><a href="">Cross Industry Standard Process for Data Mining</p></a></ul> <p> Reference Books: <ul><li>Witten, I. H., Frank, E. and Hall, M. E. Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, CA, 2011. <li><a href="">KNIME</a></ul></p> <p> <b>Fees</b><P> Standard 1 day $800.00 (GST free) <ul><li> UTS Alumni and staff- 10% discount <li> 2 or more from the one organisation - 15% discount <li> Scholarship - 20% discount <li> Interstate participant - 25% discount </ul> <p>Please select discount option with drop down box before entering your credit card details. Only 1 discount applicable per person. <br> Group bookings must be made individually with the 15% discount selected and credit card processed separately for each person.<br></p> <p> <p><b>Payment Options</b><br> To be invoiced – Please complete the <a href=""> Manual Enrolment on Invoice Request Form </a> and email it to <a href=" Request AAI17008 - Data Mining - Stage 1"> UTS:Short Courses</a><br><br> Credit Card – proceed to the <b>'BOOK NOW'</b> button and follow the prompts.<br><br> <b>Contact Information</b><br> For specific queries regarding course content, please contact Colin Wise, Advanced Analytics Institute Tel: +61 (02) 9514 9267 or email <a href=" Data Mining - Stage 1"></a> with questions relating to this course.</p> <p>For all other enquiries regarding enrolment or payment, please contact UTS Short Courses on Tel: +61 (02) 9514 2913 or email <a href= " Data Mining - Stage 1 query"></a></p>


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