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Groupe de travail athérosclérose 1 Project STULONG Project STULONG Some analytical work at EuroMISE and University of Economics, Prague Jan Rauch EuroMISE.

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Presentation on theme: "Groupe de travail athérosclérose 1 Project STULONG Project STULONG Some analytical work at EuroMISE and University of Economics, Prague Jan Rauch EuroMISE."— Presentation transcript:

1 Groupe de travail athérosclérose 1 Project STULONG Project STULONG Some analytical work at EuroMISE and University of Economics, Prague Jan Rauch EuroMISE – Cardio, EuroMISE – Cardio, University of Economics, Prague This work is supported by the project LN00B107 of the Ministry of Education of the Czech Republic

2 Groupe de travail athérosclérose2 Content   LISp-Miner system – an overview   Procedure 4ft-Miner and Death Causes   Procedure KL-Miner and Ordinal depenedencies in Entry   Procedure SDS-Miner and Death Causes   LISp-Miner system – some more info

3 Groupe de travail athérosclérose3 LISp – Miner  Academic software system for KDD research and teaching developed at University of Economics, Prague  Analytical procedures based on GUHA principle  Machine learning procedure KEX  Data transformation procedures  Several related research topic  See (new version of home page forthcoming)http://lispminer.vse.cz

4 Groupe de travail athérosclérose4 Analytical procedures based on GUHA principle Data Generation and verification of relevant questions Simple definition of large set of relevant questions All prime relevant assertions (considerations) 4ft-MinerKL-Miner CF-MinerSDS-Miner SDKL-MinerSDCF-Miner

5 Groupe de travail athérosclérose5 Procedure 4ft-Miner   Mines for generalised association rules including conditional rules and rules corresponding to statistical hypotheses tests   Implementation not based on A-priori   See   More information see attached file ICDM02_TFDM_publ.pdf   STULONG - Death 4ft-Miner application example see andhttp://lisp.vse.cz/challenge/ecmlpkdd2003/

6 Groupe de travail athérosclérose6 Procedure KL-Miner   Mines for Patterns Based on Contingency Tables   Implementation based on the same principles as 4ft-Miner   STULONG – Entry KL-Miner application example see attached file 1KL_Minr.pdf and   Published at ICDM2003 WORKSHOP - Foundations and New Directions of Data Mining, see

7 Groupe de travail athérosclérose7 Procedure SDS - Miner   Mines for interesting couples of sets   Implementation based on the same principles as 4ft-Miner   STULONG - Death SDS-Miner application example see   Published at ACM Symposium on Applied Computing SAC 2004, see

8 Groupe de travail athérosclérose8 LISp-Miner - further analytical procedures CF-Miner – described under name Pareto-Miner in the attached file ICDM02_TFDM_publ.pdf SDKL-Miner – in development, informally combination of SDS-Miner and KL-Miner SDCF-Miner – in development, informally combination of SDS-Miner and CF-Miner

9 Groupe de travail athérosclérose9 LISp – Miner - Machine learning procedure KEX see

10 Groupe de travail athérosclérose10 LISp – Miner Data transformation procedures DataSource – various input data transformation and explorations See TimeTransf – computation of characteristics of time-series See

11 Groupe de travail athérosclérose11 LISp – Miner – some related research topic  Logical calculi for KDD – see e.g. attached file PAKDD02_TFDM_publ.pdf  Automatic transformations of association rules into natural language see An example: otazky/vv/detail.php?groupID=024&var=01&hypID=2751

12 Groupe de travail athérosclérose12 Automatic transformations of association rules into natural language - an example


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