By Susan Craw (auth.), Petra Perner, Azriel Rosenfeld (eds.)

TheInternationalConferenceonMachineLearningandDataMining(MLDM)is the 3rd assembly in a sequence of biennial occasions, which all started in 1999, equipped by way of the Institute of desktop imaginative and prescient and utilized desktop Sciences (IBaI) in Leipzig. MLDM begun as a workshop and is now a convention, and has introduced the subject of computer studying and knowledge mining to the eye of the examine group. Seventy-?ve papers have been submitted to the convention this yr. this system committeeworkedhardtoselectthemostprogressiveresearchinafairandc- petent assessment technique which resulted in the popularity of 33 papers for presentation on the convention. The 33 papers in those court cases conceal a wide selection of issues relating to desktop studying and information mining. the 2 invited talks take care of studying in case-based reasoning and with mining for structural facts. The contributed papers should be grouped into 9 parts: aid vector machines; trend dis- very; choice bushes; clustering; classi?cation and retrieval; case-based reasoning; Bayesian versions and techniques; organization ideas; and functions. we wish to specific our appreciation to the reviewers for his or her targeted andhighlyprofessionalwork.WearegratefultotheGermanScienceFoundation for its help of the japanese ecu researchers. We get pleasure from the assistance and realizing of the editorial sta? at Springer Verlag, and specifically Alfred Hofmann,whosupportedthepublicationoftheseproceedingsintheLNAIseries. final, yet no longer least, we want to thank the entire audio system and individuals who contributed to the luck of the conference.