Data%20mining%20education

1
Data mining education

• Whats cookin ?
• Maja Skrjanc

2
Introduction

• Sol-Eu-Net
• WP 4 Dissemination/Education
• Analysis of machine learning and decision
  support courses
• Overview about machine learning, data mining and
  decision support courses available on the web.

3
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/?F
  ilecourses.html)
• KDnuggets (http//www.kdnuggets.com/courses/index.
  html)
• David W. Aha home page (http//www.aic.nrl.navy.mi
  l/aha/research/ml/courses.html)
• Decision support system resources
  (http//dssresources.com/)

4
Classification

• Intended audience
• computer science students,
• students from other areas
• managers (CEOs) and IT professionals (data
  analysts)

5
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

6
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/course
  s/cmput690/index.html)
• Web data mining Computer Science,
  Telecommunications, and Information Technology,
  DePaul University (http//maya.cs.depaul.edu/moba
  sher/classes/cs589/syllabus.html)
• Ullmans course on Data mining at Stanford
  University
• Exam (http//www-db.stanford.edu/ullman/mining/fi
  nal.html)
• Lecture notes (http//hake.stanford.edu/ullman/mi
  ning/mining.html)

7
Non-CS courses - characteristics

• Hard to get materials, different keywords (DSS,
  DM, DA)
• Some courses are the same as CS students courses
• More domain driven

8
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/certif
  icate/dwcert1.html)
• Department of Medical Informatics ,Health
  Sciences campus of Columbia University
  (http//www.cpmc.columbia.edu/edu/degree/curriculu
  m.html)
• The graduate school in computational Biology,
  Bioinformatics, and Biometry (ComBi)
• (http//www.cs.helsinki.fi/research/hallinto/TOIM
  INTARAPORTIT/1999/report99/node4.htmlSECTION00041
  200000000000000)

9
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 and decision 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.

10
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,..

11
IT professionals courses - examples

• SAS seminars (http//www.sas.com/service/edu/bks/i
  ndex.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)

12
General review of the current situation

• On-line materials, recent papers
• Exercises, projects not only theoretical, but
  also practical
• Including DW, statistics
• Combine DA techn. with special areas of
  application, like marketing (web-marketing,
  e-marketing), business intelligence, public
  policy, security issues..
• Raise awareness in business world at different
  levels
• (managers, data analysists, IT professionals,..)
• USA vs. Europe

13
WP4 Development and organization of seminars,
training and distance learning I

• Participants IJS, GMD, BRI
• WP4 coordinator Tanja Urbancic
• Objectives
• Increase awareness of DM and DS (potential
  clients)
• Provide seminars and workshops (internal, for
  open market, customized for clients)
• Provide a tool for supporting distance learning
  activities

14
WP4 Development and organization of seminars,
training and distance learning II

• Repository of Educational Modules (prepared by
  IJS)
• questionnaire for project partners (20 questions,
  el. form)
• 12 proposals from 5 institutions (88 hours of
  program)
• 6 can be costumized, 7 have web material
• method-centred and application-centred, basic and
  advanced
• Info about available related courses (collected
  by BRI)
• 67 courses, academic and commercial
• 20 European, 37 US, 10 other

15
DALS and AED

• DALS seminar (international)
• Data analysis in life sciences, May 2000,
  organized by IJS
• 2 days (1day methods, 1 day cases) 2 days (1day
  methods, 1 day cases)
• 5 lecturers from Slovenia and UK
• 18 attendees from Slovenia and Germany
• AED seminar (international)
• Analysis of ecological data, December 2000,
  organized by IJS
• 4 days (5 for graduate students of PNG)
• 4 lecturers from Slovenia
• 27 participants from 9 countries (Slovenia,
  Belgium, Bosnia and Herzegovina, Croatia, France,
  Italy, The Netherlands, Poland, Slovak Republic)