The Symposium on Knowledge Discovery, Mining and Learning (KDMiLe) aims at integrating researchers, practitioners, developers, students and users to present theirs research results, to discuss ideas, and to exchange techniques, tools, and practical experiences – related to the Data Mining and Machine Learning areas. KDMiLe originated from WAAMD (Workshop em Algoritmos e Aplicações de Mineração de Dados) that occurred during five years – 2005 to 2009 – as a Workshop of Brazilian Symposium on Databases (SBBD). Since 2013, KDMiLe is organized alternatively in conjunction with the Brazilian Conference on Intelligent Systems (BRACIS) and the Brazilian Symposium on Databases (SBBD). This year, 2020, in its eighth edition, KDMiLe will be held in Rio Grande on October 20th to 23th in conjunction with the Brazilian Conference on Intelligent Systems (BRACIS). This year KDMiLe is being organized by Universidade Federal do Rio Grande(FURG, Brazil) and Centro de Ciências Computacionais (C3, Brazil). The KDMiLe Program Committee invites submissions containing new ideas and proposals, and also applications, in the Data Mining and Machine Learning areas. Submitted papers will be reviewed based on originality, relevance, technical soundness and clarity of presentation.
This year KDMiLe is being organized by Universidade Federal do Rio Grande(FURG, Brazil) and Centro de Ciências Computacionais (C3, Brazil).. As in the last years, KDMiLe comes with two different tracks: Algorithms and Applications.
Papers will be published electronically in the KDMiLe proceedings. A preliminary version of the proceedings, including all the accepted papers, will be available to the symposium attendees. Papers submitted to KDMiLe must not have been simultaneously submitted to any other forum (conference or journal), nor should they have already been published elsewhere. The acceptance of a paper implies that at least one of its authors will register for the symposium to present it. Submitted papers will be reviewed based on originality, relevance, technical soundness and clarity of presentation. Please follow the submission template. For further inquiries, please contact the Program Committee Chair at the email: email@example.com.
In all past editions, authors of selected papers accepted for presentation in KDMiLe have been invited to submit extended and revised versions of these papers to a special issue of JIDM (Journal of Information and Database Management). This year, we intend to follow this same policy of encouraging the best submissions with publication in an international journal.
|IN DATA MINING (NOT LIMITED TO)|
|IN MACHINE LEARNING (NOT LIMITED TO)|
|Chair - Luiz Merschmann (UFLA)
Alexandre Plastino (UFF)
|André Carlos Ponce de Leon Ferreira de Carvalho (ICMC-USP)
Wagner Meira Jr. (UFMG)
|Ricardo Cerri (UFSCAR)|
|Chair - Elaine Ribeiro de Faria (UFU) - firstname.lastname@example.org
Co-Chair - Moacir Antonelli Ponti (ICMC-USP) - email@example.com
|Eduardo Nunes Borges (FURG)|