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

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    Website www.waset.org/events.php | Want to Edit it Edit Freely

    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

    The VIII. International Conference on Machine Learning and Data Analysis is the premier forum for the presentation of new advances and research results in the fields of Machine Learning and Data Analysis. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

    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

    Data Analysis in Higher Education Contact us: infoatwaset.org


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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