KDMILE 2014 - 2nd Symposium on Knowledge Discovery, Mining and Learning

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 conjuntion 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 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