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KDMILE 2015 : 3rd Symposium on Knowledge Discovery Mining and Learning


When Oct 14, 2015 - Oct 15, 2015
Where Itaipava - Petropolis (Brazil)
Abstract Registration Due Jul 20, 2015
Submission Deadline Jul 27, 2015
Notification Due Aug 31, 2015
Final Version Due Sep 7, 2015
Categories    data mining   machine learning

Call For Papers



Supported by the Brazilian Computer Society (SBC)
Itaipava, Petrópolis / RJ – Brazil

14 - 15 October 2015

**Important Dates**
Paper Registration : July 20, 2015
Paper Submission : July 27, 2015
Authors Notification : August 31st, 2015
Camera Ready due : September 7, 2015
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
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
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 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

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.
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 (to be announced soon)

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