1. PKDD Discovery Challenges short review Jan Rauch 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 athéroscléroseLyon, 29 mars 20042 PKDD Discovery Challenges PKDD'99 Discovery Challenge will encourage a collaborative research effort, a broad and unified view of knowledge and methods of discovery, and emphasis on business problems and solutions to those problems First organized:

3. Groupe de travail athéroscléroseLyon, 29 mars 20043 PKDD Discovery Challenges 1999: Financial data (fictitious bank BARBORA UEP Prague ) 7 papers (Chiba University hospital) 3 papers Thrombosis (Chiba University hospital) 3 papers 2000: 2000: Financial data (fictitious bank BARBORA UEP Prague ) 4 papers (Chiba University hospital) 3 papers Thrombosis (Chiba University hospital) 3 papers 2001: (Chiba University hospital) 5 papers 2001: Thrombosis (Chiba University hospital) 5 papers 2002: Stulong 5 papers 2002: Stulong (EuroMISE Prague) 5 papers Hepatitis (Shimane Medical University) 4 papers Hepatitis (Shimane Medical University) 4 papers 2003: Stulong 9 papers 2003: Stulong (EuroMISE Prague) 9 papers Hepatitis (Shimane Medical University) 3 papers Hepatitis (Shimane Medical University) 3 papers See http://lisp.vse.cz/challenge/http://lisp.vse.cz/challenge/

4. Groupe de travail athéroscléroseLyon, 29 mars 20044 STULONG 2002 Challenge   Dolejší,P. - Lín,V.- Rauch,J. - Šebek,M.: System of KDD Tasks and Results within the STULONG Project   Lin,F: Longitudial Study of Atherosclerosis Risk Factors: Relation Factors to BMI and Finding in Entry Examination   Lucas,N. - Azé,J. - Sebag,M.: Atherosclerosis Risk Identification and Visual Analysis   Strossa,P.- Rauch,J.: Association Rules in STULONG and Natural Language   Wettschereck,D.: Educational Data Preprocessing

5. Groupe de travail athéroscléroseLyon, 29 mars 20045 STULONG 2003 Challenge (1)   Azé,J. - Lucas,N. - Sebag,M.: A New Medical Test for Atherosclerosis Detection GeNo   Berzal,F. - Cubero,J.C.- Sanchez,D. - Serrano,J.M. - Vila,M.A.: Finding Fuzzy Approximate Dependencies within STULONG Data   Burian,J. - Rauch,J.: Analysis of Death Causes in the STULONG Data Set   Cremilleux,B.- Soulet,A. - Rioult,F.: Mining the Strongest Emerging Patterns Characterizing Patients Affected by Diseases Due to Atherosclerosis   Hoa,N.S. - Son,N.H.: Analysis of STULONG Data by Rough Set Exploration System (RSES)

6. Groupe de travail athéroscléroseLyon, 29 mars 20046 STULONG 2003 Challenge (2)   Karban,T.: SDS-Rules and Classification on PKDD2003 Discovery Challenge   Novakova,L. - Klema,J. - Jakob,M.- Rawles,S. - Stepankova,O.: Trend Analysis and Risk Identification   Van Assche,A. - Verbaeten,S. - Krzywania,D. - Struyf,J. - Blockeel,H.: Attribute-Value and First Order Data Mining within the STULONG Project   Werner,J.C. - Kalganova,T.: Risk Evaluation using Evolvable Discriminate Function