Call for Papers


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 Brazilian Symposium on Databases (SBBD). This year, in its third edition, KDMiLe will be held in Petrópolis, state of Rio de Janeiro, Brazil from October 13 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.

Important Dates

  • Paper Registration : July 20, 2015 August 7, 2015
  • Paper Submission : July 27, 2015 August 7, 2015
  • Authors Notification : August 31st, 2015 September 4, 2015
  • Camera Ready due : September 7, 2015 September 11, 2015
  • Symposium Venue

    Petrópolis, the Imperial City of Brazil, in the state of Rio de Janeiro at a distance of 68 km from Rio. Nestled among the forested hills of Serra dos Órgăos, 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 Applications
  • 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:

    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 August 7, 2015, authors must register its title, list of authors and abstract through the submission web page. Papers must be submitted by August 7, 2015 using the same website.

    Please follow the submission template.

    For further inquires, please contact the Program Committee Chair at the email:

    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.