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 fifth edition, KDMiLe will be held in Uberlândia, state of Minas Gerais, Brazil from October 2 to 4 in conjunction 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.


– Paper Submission: August 01, 2017   August 18, 2017
– Author Notification: September 04, 2017   September 13, 2017
– Camera ready due: September 11, 2017   September 20, 2017

Uberlândia is located in the western part of the state of Minas Gerais, in the region called Triângulo Mineiro, one of the richest agricultural regions of Brazil. It is located 580 km away from São Paulo, and 560 km away from Belo Horizonte, the capital of Minas Gerais State. KDMiLe 2017 will be organized by the Universidade Federal de Uberlândia.

Data Mining Topics:
Association Rules
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
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 18, 2017, authors must register its title, list of authors and abstract through the submission web page. Papers must be submitted by August 18, 2017 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 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. More information about that will be available soon.