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KDMILE 2015 : 3rd Symposium on Knowledge Discovery Mining and Learning | |||||||||||||||||
Link: http://www2.ic.uff.br/~kdmile/ | |||||||||||||||||
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Call For Papers | |||||||||||||||||
KDMILE 2015
3rd SYMPOSIUM ON KNOWLEDGE DISCOVERY, MINING AND LEARNING Supported by the Brazilian Computer Society (SBC) Itaipava, Petrópolis / RJ – Brazil 13 - 15 October 2015 www.ic.uff.br/~kdmile **Important Dates** Paper Registration : July 20, 2015 Paper Submission : July 27, 2015 Authors Notification : August 31st, 2015 Camera Ready due : September 7, 2015 Overview The Symposium on Knowledge Discovery, Mining and Learning (KDMiLe) aims at integrating researchers, practitioners, developers, students and users to present their research results, to discuss ideas, and to exchange techniques, tools, and practical experiences related to the Data Mining and Machine Learning areas. KDMiLe is organized alternately in conjunction with The Brazilian Conference on Intelligent Systems (BRACIS) and the Symposium on Database Systems (SBBD). This year, 2015, in its third edition, KDMiLe will be held in Itaipava, state of Rio de Janeiro, Brazil from October 14 to 15 in conjuntion with the Brazilian Symposium on Databases (SBBD). 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. Symposium Venue Itaipava is a district of Petrópolis, the Imperial City of Brazil, in the state of Rio de Janeiro at a distance of 68 km from the Rio. Nestled among the forested hills of the Serra dos Órgãos, in the valley of the Quitandinha and Piabanha rivers, Petrópolis is a popular winter holiday spot. Besides the climate and surroundings, the main attraction is the former Summer Palace of the second Brazilian emperor, which is now the Imperial Museum, specializing in Imperial history and memorabilia. Petrópolis is home to the National Laboratory for Scientific Computing, a research unit of the Ministry of Science and Technology of the Brazilian Federal Government. Topics of Interest (not limited to) Data Mining Topics: Association Rules Classification Clustering Data Mining Aplications Data Mining Foundations Evaluation Methodology in Data Mining Feature Selection and Dimensionality Reduction Graph Mining Massive Data Mining Multimedia Data Mining Multirelational Mining Outlier Detection Parallel and Distributed Data Mining Pre and Post Processing Ranking and Preference Mining Privacy and Security in Data Mining Quality and Interest Metrics Recommender Systems based on Data Mining Sequential Patterns Social Network Mining Stream Data Mining Text Mining Time-Series Analysis Visual Data Mining Web Mining Machine Learning Topics: Active Learning Bayesian Inference Case-Based Reasoning Cognitive Models of Learning Constructive Induction and Theory Revision Cost-Sensitive Learning Ensemble Methods Evaluation Methodology in Machine Learning Fuzzy Learning Systems Inductive Logic Programming and Relational Learning Kernel Methods Knowledge-Intensive Learning Learning Theory Machine Learning Applications Meta-Learning Multi-Agent and Co-Operative Learning Natural Language Processing Online Learning Probabilistic and Statistical Methods Ranking and Preference Learning Recommender Systems based on Machine Learning Reinforcement Learning Semi-Supervised Learning Supervised Learning Unsupervised Learning Submission Guidelines Submission web page https://easychair.org/conferences/?conf=kdmile2015 Papers may be written in Portuguese or English, and may be submitted in two formats: FULL PAPER (not exceeding 8 pages, for original work) and SHORT PAPER (not exceeding 4 pages, for emerging ideas and research in progress). Papers exceeding this limit will be automatically rejected without being reviewed by the Program Committee. In addition, papers must be submitted in PDF format. Formats other than PDF will NOT be accepted. Both full and short 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. Before submitting a paper, and no later than July 20th 2015, authors must register its title, list of authors and abstract through the submission Web page. Papers must be submitted by July 27th, 2015 using the same website. The templates for submission are available at the KDMILE web page www.ic.uff.br/~kdmile For further inquires, please contact the Program Committee Chair at the email: kdmile2015@gmail.com Journal Special Issue In its first and second 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. More information about that will be available soon. Organization Steering Committee Alexandre Plastino (UFF) André Ponce de Leon F. de Carvalho (ICMC-USP) Sandra de Amo (UFU) Leandro Balby Marinho (UFCG) Wagner Meira Jr. (UFMG) Symposium Chairs General Chair: Alexandre Plastino, UFF, Brazil. Organizing Committee : Alexandre Plastino, UFF, Brazil. Program Committee : Chair: Sandra de Amo, UFU Brazil, and Co-chair: Leandro Balby Marinho, UFCG, Brazil Program Committee SECOND CALL FOR PAPERS KDMILE 2015 3rd SYMPOSIUM ON KNOWLEDGE DISCOVERY, MINING AND LEARNING Supported by the Brazilian Computer Society (SBC) Itaipava, Petrópolis / RJ – Brazil 13 - 15 October 2015 www.ic.uff.br/~kdmile **Important Dates** Paper Registration : July 20, 2015 Paper Submission : July 27, 201 Authors Notification : August 31st, 2015 Camera Ready due : September 7, 2015 Overview The Symposium on Knowledge Discovery, Mining and Learning (KDMiLe) aims at integrating researchers, practitioners, developers, students and users to present their research results, to discuss ideas, and to exchange techniques, tools, and practical experiences related to the Data Mining and Machine Learning areas. KDMiLe is organized alternately in conjunction with The Brazilian Conference on Intelligent Systems (BRACIS) and the Symposium on Database Systems (SBBD). This year, 2015, in its third edition, KDMiLe will be held in Itaipava, state of Rio de Janeiro, Brazil from October 14 to 15 in conjuntion with the Brazilian Symposium on Databases (SBBD). 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. Symposium Venue Itaipava is a district of Petrópolis, the Imperial City of Brazil, in the state of Rio de Janeiro at a distance of 68 km from the Rio. Nestled among the forested hills of the Serra dos Órgãos, in the valley of the Quitandinha and Piabanha rivers, Petrópolis is a popular winter holiday spot. Besides the climate and surroundings, the main attraction is the former Summer Palace of the second Brazilian emperor, which is now the Imperial Museum, specializing in Imperial history and memorabilia. Petrópolis is home to the National Laboratory for Scientific Computing, a research unit of the Ministry of Science and Technology of the Brazilian Federal Government. Topics of Interest (not limited to) Data Mining Topics: Association Rules Classification Clustering Data Mining Aplications Data Mining Foundations Evaluation Methodology in Data Mining Feature Selection and Dimensionality Reduction Graph Mining Massive Data Mining Multimedia Data Mining Multirelational Mining Outlier Detection Parallel and Distributed Data Mining Pre and Post Processing Ranking and Preference Mining Privacy and Security in Data Mining Quality and Interest Metrics Recommender Systems based on Data Mining Sequential Patterns Social Network Mining Stream Data Mining Text Mining Time-Series Analysis Visual Data Mining Web Mining Machine Learning Topics: Active Learning Bayesian Inference Case-Based Reasoning Cognitive Models of Learning Constructive Induction and Theory Revision Cost-Sensitive Learning Ensemble Methods Evaluation Methodology in Machine Learning Fuzzy Learning Systems Inductive Logic Programming and Relational Learning Kernel Methods Knowledge-Intensive Learning Learning Theory Machine Learning Applications Meta-Learning Multi-Agent and Co-Operative Learning Natural Language Processing Online Learning Probabilistic and Statistical Methods Ranking and Preference Learning Recommender Systems based on Machine Learning Reinforcement Learning Semi-Supervised Learning Supervised Learning Unsupervised Learning Submission Guidelines Submission web page https://easychair.org/conferences/?conf=kdmile2015 Papers may be written in Portuguese or English, and may be submitted in two formats: FULL PAPER (not exceeding 8 pages, for original work) and SHORT PAPER (not exceeding 4 pages, for emerging ideas and research in progress). Papers exceeding this limit will be automatically rejected without being reviewed by the Program Committee. In addition, papers must be submitted in PDF format. Formats other than PDF will NOT be accepted. Both full and short 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. Before submitting a paper, and no later than July 20th 2015, authors must register its title, list of authors and abstract through the submission Web page. Papers must be submitted by July 27th, 2015 using the same website. The templates for submission are available at the KDMILE web page www.ic.uff.br/~kdmile For further inquires, please contact the Program Committee Chair at the email: kdmile2015@gmail.com Journal Special Issue In its first and second 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. More information about that will be available soon. Organization Steering Committee Alexandre Plastino (UFF) André Ponce de Leon F. de Carvalho (ICMC-USP) Sandra de Amo (UFU) Leandro Balby Marinho (UFCG) Wagner Meira Jr. (UFMG) Symposium Chairs General Chair: Alexandre Plastino, UFF, Brazil. Organizing Committee : Alexandre Plastino, UFF, Brazil. Program Committee : Chair: Sandra de Amo, UFU Brazil, and Co-chair: Leandro Balby Marinho, UFCG, Brazil Program Committee Adriana Bechara Prado EMC Brazil R&D Center Adriano Veloso UFMG Alexandre Plastino UFF Aline Paes UFF Ana L. C. Bazzan UFRGS Ana Paula Appel IBM Research Brazil Andre Carvalho ICMC USP Angelo Ciarlini EMC Brazil R&D Center Aurora Pozo UFPR Carlos Eduardo Pires UFCG Cícero Santos IBM Research Brazil Edson Matsubara UFMS Elaine Ribeiro Faria UFU Elaine Sousa ICMC USP Fabio Cozman USP Sao Paulo Fernando Otero University of Kent (UK) Flavia Bernardini UFF Francisco Carvalho UFPE Gisele Pappa UFMG Herman M. Gomes UFCG Humberto Luiz Razente UFU Jose Alfredo Costa UFRN Julio Cesar Nievola PUCPR Kate Revoredo UNIRIO Leonardo Rocha UFSJ Luis Zárate PUC Minas Luiz Merschmann UFOP Maira Gatti IBM Research Brazil Marcelino Pereira UERN Marcelo Keese Albertini UFU Marcelo Ladeira UnB Marcilio Souto LIFO/University of Orleans (France) Marcio Basgalupp ICT-UNIFESP Maria Camila N. Barioni UFU Nuno C. Marques FCT/UNL (Portugal) Ricardo Prudencio UFPE Ronaldo Prati UFABC Rui Camacho LIACC/FEUP University of Porto (Portugal) Solange Rezende ICMC USP São Carlos Vasco Furtado UNIFOR Wagner Meira UFMG |
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