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HDM-2008
International Conference on
Multivariate Statistical Modelling & High Dimensional Data
Mining
19-23 June 2008, Kayseri, TURKEY
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http://hdm2008.erciyes.edu.tr |
Conference Theme & Program
The field of Statistics is undergoing a fundamental transformation
and it is in an evolutionary stage. Its continued health depends
very much on its participation in cross-disciplinary research
and scholarly activity in many fields.
Today, in the information age we live in, with increasingly sophisticated
technology for gathering and storing data, many organizations
and businesses collect massive amounts of data at accelerated
rates and in ever-increasing detail. Massive data sets pose a
great challenge to many cross-disciplinary fields. Such data sets
have large number of dimensions and often have huge numbers of
observations. They are categorical, discrete, quantitative, and
often are mixed data types. This high dimensionality and different
data types and structures have now outstripped the capability
of traditional statistical methods, data analysis, graphical and
data visualization tools.
To address these challenges, the scientific theme and the program
of this conference will include sessions with invited talks and
contributed poster presentations from a broad range of topics.
Special emphasis will be laid on interdisciplinary research and
the interaction between theory and practice.
Conference language will be in English.
Participants intending to present a talk are invited to submit
an abstract by e-mail. All abstracts will undergo a reviewing
process. Please see the conference website for details regarding
the required structure of the abstracts. Accepted abstracts will
be distributed to the conference participants.
Conference proceedings of selected papers is expected to be published
by Chapman & Hall/CRC. Detailed information about the submission
and refereeing procedure as well as formatting instructions can
be found on the conference website. |
Conference Topics
The broad range of relevant topics is illustrated by the following
list of intended sections. Contributed poster session papers from
scholars and practitioners are invited on any of these as well
as on related topics. |
| Theory
and methods:
• Multivariate exploratory data analysis
• Classification and clustering
• Machine learning and kernel methods
• Multivariate time series & forecasting
• High dimensional data visualization
• Mixture model cluster analysis
• Bayesian, neural, and fuzzy clustering, and factor analytic
models
• Multivariate distribution theory and asymptotics
• Evolutionary learning algorithms for high dimensions
and data structures
• Smoothed covariance estimators for multivariate data
• Multivariate diagnostics and outlier detection
• Information complexity, model selection and feature
selection / extraction
• Random matrix theory of high dimensions
• Multivariate ec and skew distributed models
• Text mining, web mining, and micro data mining
• Kernel estimation of high dimensions
• Matrix calculus for high dimensions robust multivariate
data mining
• Sem, multi-level sem, and nonnormal sem
• Process mining
• Tools, parallel numerical algorithms and software
packages for multivariate data analysis |
Application
fields:
• Biostatistics and bioinformatics
• Genome, dna, and microarray data analysis
• Medical and health sciences
• Marketing & market segmentation
• Web mining
• Image processing and spectral analysis
• Credit risk and financial data mining
• Multivariate quality control and signal detection
• Engineering and environment
• Image and signal processing
• Econometrics, education and psychometric data mining
• Data mining in sports
• National security |
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Important Dates |
| January 25, 2008 |
Extended
deadline for abstract submission |
| February 15, 2008 |
Notification of acceptance |
| May 7, 2008 |
Deadline
for full paper submission |
| June 19-23, 2008 |
Conference |
| August 1, 2008 |
Notification of acceptance |
| August 30, 2008 |
Deadline for camera-ready
papers |
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