First cfp - KDMiLE 2014 - 2nd SYMPOSIUM ON KNOWLEDGE DISCOVERY, MINING AND LEARNING
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Andre C P L F de Carvalho
Apr 29, 2014, 3:48:53 PM4/29/14
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CALL FOR PAPERS
KDMiLe 2014
2nd SYMPOSIUM ON KNOWLEDGE DISCOVERY, MINING AND LEARNING
Promoted by the Brazilian Computer Society (SBC)
Sao Carlos / SP - Brazil
20 - 21 October 2014
http://jcris2014.icmc.usp.br/index.php/kdmile
**Important Dates**
Paper Registration : June 23, 2014
Paper Submission : July 1, 2014
Authors Notification : August 18, 2014
Camera Ready due : September 1, 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 Sao Carlos, state of Sao Paulo, Brazil from
October 20 to 21 in conjunction with the The Brazilian Conference on
Intelligent Systems (BRACIS) and Encontro Nacional de Inteligencia
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
Sao Carlos is located in the state of Sao Paulo in the Southeast of Brazil.
The city is one of the greatest university centers in Brazil. Sao Carlos
boasts a very diversified and high quality hotel service. The city has
good restaurants, barbecue houses, bars and cafŽs, as well as good music and cinemas to provide a variety of entertainment. Sao Carlos is home of two of the most important Brazilian Universities, the Universidade de Sao Paulo (USP) and the Universidade Federal de Sao Carlos (UFSCar). Thus, Sao Carlos is a university-oriented town, with an abundance of student-focused commercial establishments. It is also known for its student parties. Sao 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 Sao 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 June 23th 2014, 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 July 1st, 2014 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: kdmil...@gmail.com
Journal Special Issue
In its first edition, authors of selected papers accepted for presentation
in KDMiLe 2013 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)
AndrŽ Ponce de Leon F. de Carvalho (ICMC-USP)
Leonardo Rocha (UFSJ)
Sandra de Amo (UFU)
Wagner Meira Jr. (UFMG)
Symposium Chairs
General Chair: AndrŽ Ponce de Leon F. de Carvalho (ICMC-USP)Brazil
Organizing Committee : Marcela Xavier Ribeiro , UFSCar, Brazil
Program Committee :
Chair: AndrŽ Ponce de Leon F. de Carvalho, ICMC-USP Brazil, and
Co-chair: Sandra de Amo, UFU, Brazil
Program Committee (to be informed soon)
KDMiLe 2014
2nd SYMPOSIUM ON KNOWLEDGE DISCOVERY, MINING AND LEARNING
Promoted by the Brazilian Computer Society (SBC)
Sao Carlos / SP - Brazil
20 - 21 October 2014
http://jcris2014.icmc.usp.br/index.php/kdmile
**Important Dates**
Paper Registration : June 23, 2014
Paper Submission : July 1, 2014
Authors Notification : August 18, 2014
Camera Ready due : September 1, 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 Sao Carlos, state of Sao Paulo, Brazil from
October 20 to 21 in conjunction with the The Brazilian Conference on
Intelligent Systems (BRACIS) and Encontro Nacional de Inteligencia
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
Sao Carlos is located in the state of Sao Paulo in the Southeast of Brazil.
The city is one of the greatest university centers in Brazil. Sao Carlos
boasts a very diversified and high quality hotel service. The city has
good restaurants, barbecue houses, bars and cafŽs, as well as good music and cinemas to provide a variety of entertainment. Sao Carlos is home of two of the most important Brazilian Universities, the Universidade de Sao Paulo (USP) and the Universidade Federal de Sao Carlos (UFSCar). Thus, Sao Carlos is a university-oriented town, with an abundance of student-focused commercial establishments. It is also known for its student parties. Sao 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 Sao 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 June 23th 2014, 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 July 1st, 2014 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: kdmil...@gmail.com
Journal Special Issue
In its first edition, authors of selected papers accepted for presentation
in KDMiLe 2013 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)
AndrŽ Ponce de Leon F. de Carvalho (ICMC-USP)
Leonardo Rocha (UFSJ)
Sandra de Amo (UFU)
Wagner Meira Jr. (UFMG)
Symposium Chairs
General Chair: AndrŽ Ponce de Leon F. de Carvalho (ICMC-USP)Brazil
Organizing Committee : Marcela Xavier Ribeiro , UFSCar, Brazil
Program Committee :
Chair: AndrŽ Ponce de Leon F. de Carvalho, ICMC-USP Brazil, and
Co-chair: Sandra de Amo, UFU, Brazil
Program Committee (to be informed soon)
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