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PKDD Discovery Challenges short review

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. PKDD Discovery Challenges. First organized:.

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PKDD Discovery Challenges short review

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  1. PKDD Discovery Challengesshort 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. PKDD Discovery Challenges First organized: 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 Lyon, 29 mars 2004

  3. PKDD Discovery Challenges 1999: Financial data (fictitious bank BARBORA UEP Prague ) 7 papers Thrombosis (Chiba University hospital) 3 papers 2000: Financial data (fictitious bank BARBORA UEP Prague ) 4 papers Thrombosis (Chiba University hospital) 3 papers 2001: Thrombosis (Chiba University hospital) 5 papers 2002: Stulong (EuroMISE Prague) 5 papers Hepatitis (Shimane Medical University) 4 papers 2003: Stulong (EuroMISE Prague) 9 papers Hepatitis (Shimane Medical University) 3 papers See http://lisp.vse.cz/challenge/ Lyon, 29 mars 2004

  4. 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 Lyon, 29 mars 2004

  5. 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) Lyon, 29 mars 2004

  6. 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 Lyon, 29 mars 2004

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