ICMLDA 2012 - International Conference on Machine Learning and Data Analysis (ICMLDA 2012)

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Category ICMLDA 2012

Deadline: December 30, 2011 | Date: May 29, 2012-May 31, 2012

Venue/Country: To kyo, Japan

Updated: 2011-06-29 13:23:49 (GMT+9)

Call For Papers - CFP

Analysis of Time Series, Longitudinal and Panel Data

Aspects of data mining

Association rules

Automatic semantic annotation of media content

Bayesian models and methods

Case-based reasoning and learning

Case-cased reasoning and associative memory

Classification and interpretation of images, text, video

Classification and model estimation

Classification and Regression

Cluster Analysis and Similarity Structures

Computational Intelligence

Conceptional learning and clustering

Content-based image retrieval

Data Preprocessing and Information Extraction

Data Visualization and Scaling Methods

Decision trees

Deviation and novelty detection

Ensemble methods

Exploratory Data Analysis and Data Mining

Feature grouping, discretization, selection and transformation

Feature learning

Frequent pattern mining

Goodness measures and evaluation

High-content analysis of microscopic images in medicine, biotechnology and chemistry

Inductive learning including decision tree and rule induction learning

Knowledge extraction from text, video, signals and images

Knowledge Representation and Knowledge Discovery

Learning and adaptive control

Learning for handwriting recognition

Learning in image pre-processing and segmentation

Learning in process automation

Learning of action patterns

Learning of appropriate behaviour

Learning of internal representations and models

Learning of ontologies

Learning of semantic inferencing rules

Learning of visual ontologies

Learning robots

Learning/adaption of recognition and perception

Mining financial or stockmarket data

Mining gene data bases and biological data bases

Mining images and texture

Mining images in computer vision

Mining images, temporal-spatial data, images from remote sensing

Mining motion from sequence

Mining structural representations such as log files, text documents and htm- documents

Mining text documents

Mixture Analysis in Clustering

Network analysis and intrusion detection

Neural methods

Nonlinear function learning and neural net based learning

Online Algorithms and Data Streams

Organisational learning and evolutional learning

Probabilistic information retrieval

Real-time event learning and detection

Retrieval methods

Rule induction and grammars

Sampling methods

Selection bias

Selection with small samples

Similarity measures and learning of similarity

Speech analysis

Statistical and conceptual clustering methods

Statistical and evolutionary learning

Statistical learning and neural net based learning

Statistical Relational Learning

Subspace methods

Supervised Classification, Discrimination, and Pattern Recognition

Support vector machines

Symbolic learning and neural networks in document processing

Text mining

Time series and sequential pattern mining

Tools for Intelligent Data Analysis

Typing for Modeling

Video mining

Visualization and data mining

Applications of Machine Learning and Data Analysis

Marketing and Management Science

Banking and Finance

Business Intelligence and Personalization

Data Analysis in Retailing

Econometrics and Operations Research

Image and Signal Analysis

Biostatistics and Bioinformatics

Medical and Health Sciences

Text Mining, Web Mining, and the Semantic Web

Statistical Natural Language Processing

Linguistics

Subject Indexing and Library Science

Statistical Musicology

Archaeology and Archaeometry

Psychology

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