SEWEBAR - a Framework for Creating and Dissemination of Analytical Reports from Data Mining Jan Rauch, Milan Šimůnek University of Economics, Prague, Czech Republic SEWEBAR
SEWEBAR - a Framework for Creating and Dissemination of Analytical Reports from Data Mining n Starting points n Principles (as seen now) n Simple examples n First steps SEWEBAR 2
SEWEBAR – Starting points (1) n Several similar mining problems a la STULONG: ADAMEK, TINITUS HEPATITIS, SOCIOLOGY, …: ¨ ¨ thousands of objects (usually patients) ¨ domain expert (non informatics) available ¨ n Cca. 100 - 300 attributes some (this time relatively simple) background knowledge available Reasonable result form is a well structured analytical report that must be ¨ created ¨ stored ¨ retrieved ¨ disseminated ¨ used to answer more complex analytical questions SEWEBAR 3
SEWEBAR – Starting points (2) n Some results concerning partial related projects ¨ Report assistant (it works) ¨ AR 2 NL (successful experiment) ¨ Ever. Miner (considerations) ¨ SEWEBAR (considerations) ¨ observational calculi n Grants: LISp, Czech Science Foundation (GAČR), Kontakt, CBI, ? ? n Students can contribute (4 IZ 460, 4 IZ 210, ? ) n Dealing with knowledge and semantics „is in“ (see e. g. „ 10 Challenging problems in Data Mining Research“ - http: //www. cs. uvm. edu/~icdm/) SEWEBAR 4
SEWEBAR – inspiration by Semantic Web (SEmantic WEB and Analytical Reports) SEWEBAR 5
SEWEBAR – Principles (1) n There is a structured set of (types of) patterns of local analytical questions ¨ ¨ What strong known relations are not valid in given data? ¨ What exceptions from … are valid in given data? ¨ n What strong relations ( *, …) are valid in given data? …. There are various items of background knowledge in easy understandable form ¨ Bier consumption BMI ¨ Mother hypertension + Hypertension ¨ n , - , …. Application of the pattern of analytical question to a given item of background knowledge and to a given data matrix leads to a concrete analytical question. SEWEBAR 6
SEWEBAR – Principles (2) n To each local analytical question there is type of local analytical report answering the question n The concrete local analytical question can be answered by the GUHA procedures implemented in the LISP-Miner system n The corresponding analytical report can be automatically created n There is a similar structured set of patterns of global analytical questions (concerning several similar data matrices) that can be automatically answered on the basis of the local analytical reports SEWEBAR 7
SEWEBAR – Principles From local analytical question to analytical report SEWEBAR 8
SEWEBAR – simple examples n Pattern of analytical question – mutual influence of attributes n Pattern of analytical question – groups of attributes n Answering „analytical question – groups of attributes“ by 4 ft-Miner n Analytical report SEWEBAR 9
SEWEBAR - a Framework for Creating and Dissemination of Analytical Reports from Data Mining n Starting points n Principles (as understood now) n Simple examples n First steps SEWEBAR 10
SEWEBAR – Principles for first steps n To implement soon first version (simplified if necessary) of support for the whole process dealing with local and global analytical reports. The whole process covers: ¨ Formulation of reasonable local analytical questions using background knowledge ¨ Creation of analytical reports answering particular analytical questions ¨ n Formulating and answering reasonable global analytical questions Use the first version to ¨ Gradually improve and enhance particular parts ¨ Develop corresponding theory using observational calculi SEWEBAR 11
Control panel – tool for first steps SEWEBAR 12
SEWEBAR – First steps (1) Background knowledge and local analytical questions: 1. We start with ADAMEK and STULONG data sets 2. Background knowledge – we use current version of Knowledge Base 3. To define first version of the set of LAQ - Local Analytical Questions 4. To implement LAQPA - Local Analytical Question Patterns Administrator 5. To implement LAQA - Local Analytical Questions Administrator SEWEBAR 13
SEWEBAR – First steps (3) Local analytical reports: 6. Enhancement of 4 ft-Miner by filtering out of uninteresting rules 7. Ever. Miner modules 8. To define skelets of analytical reports 9. Generator of analytical reports SEWEBAR 14
SEWEBAR – First steps (4) Global analytical reports - implemented using ? Topic Maps Content management system? 9. To define rules for indexing analytical reports by Topic Maps 10. To implement tool for automated indexing analytical reports for Topic Maps 11. To define first version of a set of global analytical questions 12. To implement tool for automated answering global analytical reports 13. ? ? IGA grant? ? SEWEBAR 15
Thank you for your attention SEWEBAR 16
Thank you for your attention SEWEBAR 17
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