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Evento: 'II KDMiLe - Symposium on Knowledge Dicovery, Mining and Learning'

Call for Papers
Divulgação de "Call for Papers".
Data: Thursday, July 31, 2014 At 08:00
Duração: Todo dia

KDMiLe 2014 - 2nd SYMPOSIUM ON KNOWLEDGE DISCOVERY, MINING AND LEARNING

Promoted by the Brazilian Computer Society (SBC)
São Carlos / SP - Brazil
20-21 October 2014
http://jcris2014.icmc.usp.br/index.php/kdmile

*** Important Dates ***
Paper Registration : July 31, 2014
Paper Submission : August 7, 2014
Authors Notification : September 8, 2014
Camera Ready due : September 19, 2014

Overview
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 is organized alternately in conjunction with The Brazilian Conference on Intelligent Systems (BRACIS) and the Symposium on Database Systems (SBBD). This year, 2014, in its second edition, KDMiLe will be held in São Carlos, state of São Paulo, Brazil from October 20 to 21 in conjunction with the The Brazilian Conference on Intelligent Systems (BRACIS) and Encontro Nacional de Inteligência Artificial e Computacional (ENIAC - National Meeting of Artificial and Computational Intelligence).

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
São Carlos is located in the state of São Paulo in the Southeast of Brazil. The city is one of the greatest university centers in Brazil. São Carlos boasts a very diversified and high quality hotel service. The city has good restaurants, barbecue houses, bars and cafés, as well as good music and cinemas to provide a variety of entertainment. São Carlos is home of two of the most important Brazilian Universities, the Universidade de São Paulo (USP) and the Universidade Federal de São Carlos (UFSCar). Thus, São Carlos is a university-oriented town, with an abundance of student-focused commercial establishments. It is also known for its student parties. São Carlos' cultural life is marked by a young audience that enjoys musical concerts of Brazilian contemporary alternative artists that usually include the city in their tours. There are two important events celebrated every year in the city, the Climate Party, which happens in April and has a traditional Orchid Exposition which features a craftwork fair and several food barracks. An Oktobertech Fest is held yearly along with the São Carlos High Tech Fair (Fealtec).

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
Multi-relational 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://www.easychair.org/conferences/?conf=kdmile2014

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 31st, authors must register its title, list of authors and abstract through the submission Web page https://www.easychair.org/conferences/?conf=kdmile2014. Papers must be submitted by August 7th using the same website.

The templates for submission are available at
http://jcris2014.icmc.usp.br/index.php/kdmile/templates

For further inquires, please contact the Program Committee Chair at the email:
kdmile2014@gmail.com


Journal Special Issue
----------------------------
The authors of selected papers accepted for presentation in KDMiLe 2014 will be invited to submit extended and revised versions of these papers to a special issue of JIDM (Journal of Information and Database Management).

Organization
-----------------
Steering Committee:
Alexandre Plastino (UFF)
André Ponce de Leon F. de Carvalho (ICMC-USP)
Leonardo Rocha (UFSJ)
Sandra de Amo (UFU)
Wagner Meira Jr. (UFMG)

Symposium Chairs:
General Chair: Marcela Ribeiro Xavier, UFSCar, Brazil
Organizing Committee: Marcela Xavier Ribeiro, UFSCar, Brazil

Program Committee:
---------------------------
Chair: André Ponce de Leon F. de Carvalho, ICMC-USP, Brazil, and
Co-chair: Sandra de Amo, UFU, Brazil

Alexandre Plastino (UFF - Brazil)
Aline Paes (UFF - Brazil )
Ana Carolina Lorena (UNIFESP - Brazil)
Ana L. C. Bazzan (UFRGS - Brazil)
Ana Paula Appel (IBM Research - Brazil)
Angelo Ciarlini (EMC Brazil R&D Center - Brazil)
Anne Magály De Paula (UFRN - Brazil)
Aurora Pozo (UFPR - Brazil)
Bianca Zadrozny (IBM Research - Brazil)
Carlos Soares (Universidade do Porto - Portugal)
Cícero Nogueira Dos Santos (IBM Research - Brazil)
Cristina D. De Aguiar Ciferri (USP - Brazil)
Duncan D. Ruiz (PUC-RS - Brazil)
Edson Matsubara (UFMS - Brazil)
Eduardo Hruschka (USP - Brazil)
Elaine Sousa (USP - Brazil)
Estevam Hruschka Junior (UFSCar - Brazil)
Fabio Cozman (USP - Brazil)
Fernanda Baião (UNIRIO - Brazil)
Fernando Otero (University of Kent - UK)
Flavia Bernardini (UFF - Brazil)
Francisco de A. T. de Carvalho (UFPE - Brazil)
Gina M. B. Oliveira (UFU - Brazil)
Gisele Pappa (UFMG - Brazil)
Gustavo Batista (USP - Brazil)
Heloisa Camargo (UFSCar - Brazil)
Humberto Luiz Razente (UFU - Brazil)
Joao Gama (Universidade do Porto - Portugal)
Jose Alfredo F. Costa (UFRN - Brazil)
Julio Cesar Nievola (PUC-Paraná - Brazil)
Kate Revoredo (UNIRIO - Brazil)
Katti Faceli (UFSCAR - Brazil)
Leandro Balby Marinho (UFCG - Brazil)
Leandro de Castro (Universidade Mackenzie - Brazil)
Leonardo Rocha (UFSJ - Brazil)
Luis Zárate (PUC-MINAS - Brazil)
Luiz Merschmann (UFOP - Brazil)
Maira Gatti (IBM Research - Brazil)
Marcela Xavier Ribeiro (UFSCAR - Brazil)
Marcelo Ladeira (UnB - Brazil)
Marcilio de Souto (Université d'Orléans - France)
Marcio Basgalupp (ICT-UNIFESP - Brazil)
Maria Camila Nardini Barioni (UFU - Brazil)
Myriam Delgado (UTFPR - Brazil)
Nelson Ebecken (COPPE-UFRJ - Brazil)
Paulo Azevedo (Universidade do Minho - Portugal)
Ricardo Prudencio (UFPE - Brazil)
Ronaldo Prati (UFABC - Brazil)
Rui Camacho (LIACC/FEUP Universidade do Porto - Portugal)
Solange Rezende (USP - Brazil)
Teresa Ludermir (UFPE - Brazil)
Vania Bogorny (UFSC - Brazil)
Vasco Furtado (UNIFOR - Brazil)
Wagner Meira Jr. (UFMG - Brazil)


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