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ML, DM education

ML, DM education. What’s cookin’ ? Maja Skrjanc , Tanja Urbancic, Peter Flach. Resources. Solomon European Network - Data Mining and Decision Support Courses ( http://www.cs.bris.ac.uk/~ross/MLearn-Courses.html ) MLnet ( http://www.mlnet.org/cgi-bin/mlnetois.pl/?File=courses.html )

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ML, DM education

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  1. ML, DM education What’s cookin’ ? Maja Skrjanc, Tanja Urbancic, Peter Flach

  2. Resources • Solomon European Network - Data Mining and Decision Support Courses(http://www.cs.bris.ac.uk/~ross/MLearn-Courses.html) • MLnet (http://www.mlnet.org/cgi-bin/mlnetois.pl/?File=courses.html) • KDnuggets (http://www.kdnuggets.com/courses/index.html) • David W. Aha home page (http://www.aic.nrl.navy.mil/~aha/research/ml/courses.html) • Decision support system resources (http://dssresources.com/)

  3. CS courses - characteristics • A review of data mining techniques, including decision trees, rule based learning, neural networks, inductive logic programming. • Most web sites contain links to assigned reading materials, some of them available online as textbooks. Various courses have also links to required readings, usually very recent papers, which cover primarily newer topics like text and web mining. • United States vs. Europe: • novel, popular topics • Interdisciplinary area: statistics, data warehousing, complexity analysis, data visualization, privacy and security issues • Orientation towards real world problems

  4. CS courses - examples • Masters program in knowledge discovery and data mining in CALD Center (Center for Automated Learning and Discovery) at Carnegie Mellon University (http://www.cs.cmu.edu/~cald/about.html) • MSc in machine learning at University of Bristol (http://www.cs.bris.ac.uk/Teaching/MachineLearning/ ) • Principles of Knowledge Discovery in Databases, Department of Computing Science, University of Alberta, (http://www.cs.ualberta.ca/~zaiane/courses/cmput690/index.html) • Web data mining; Computer Science, Telecommunications, and Information Technology, DePaul University (http://maya.cs.depaul.edu/~mobasher/classes/cs589/syllabus.html) • Ullman’s course on Data mining at Stanford University: • Exam(http://www-db.stanford.edu/~ullman/mining/final.html) • Lecture notes (http://hake.stanford.edu/~ullman/mining/mining.html)

  5. Non-CS courses examples • Graduate Certificate Program in Data Warehousing and Business Intelligence at the Center for Information Management & Technology at Loyola University (http://gsb.luc.edu/centers/cimt/certificate/dwcert1.html) • Department of Medical Informatics ,Health Sciences campus of Columbia University (http://www.cpmc.columbia.edu/edu/degree/curriculum.html) • The graduate school in computational Biology, Bioinformatics, and Biometry (ComBi) (http://www.cs.helsinki.fi/research/hallinto/TOIMINTARAPORTIT/1999/report99/node4.html#SECTION00041200000000000000)

  6. On-line tutorials • Data Mining: Theory and Practice, Yike Guo, Department of Computing, Imperial College, UK (http://ruby.doc.ic.ac.uk/teaching/km99/) Basic concepts of data mining, basic data mining techniques, data mining procedure in real world applications, future research trends, data warehouse anddecision support. • Kurt Thearling, Development Wheelhouse Corporation Burlington, MA (http://www3.shore.net/~kht/text/dmwhite/dmwhite.shtml ) Introduction to data mining, presentation of data mining techniques, real world examples.

  7. IT professionals courses -examples • SAS seminars (http://www.sas.com/service/edu/bks/index.html) • SPSS Integral Solutions Limited, (http://www.spss.com/training/descriptions.cfm) Vendor independant • DCI (http://www.dci.com/events/datamin1/) • The Modeling Agency, The Woodlands, Texas (http://www.the-modeling-agency.com/training/index.html)

  8. IT professionals and executives courses - characteristics • Customized for target audience, case studies • Different approaches • Mostly held in the USA • Some of them are vendor independant • Usual duration 1-3 days • Themes: introductory DM seminars, tools, cross-selling, CRM, e-commerce, DSS: DW, basic statistics, Excel pivot tables,..

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