Mathematical Problems in Engineering

Information Analysis of High-Dimensional Data and Applications


Status
Published

Lead Editor

1Middlesex University, London, UK

2Xi'an Jiaotong Liverpool University, Xi'an, China

3Inha University, Incheon, Republic of Korea

4Chiang Mai University, Chiang Mai, Thailand


Information Analysis of High-Dimensional Data and Applications

Description

Big Data is becoming one of the hottest topics in current research in computer science, data mining, engineering, and applicable mathematics. There are many challenging issues associated with Big Data, and one very important issue is the high-dimensional data. Even with moderate size data, high-dimensionality can pose extra challenge. High-dimensionality in combination with large datasets can be extremely challenging. High-dimensional data are generally used over a wide range of fields such as biometric, e-commerce, and industrial applications. In order to use data characteristics, proper techniques and methods are needed to handle such high-dimensional data. Furthermore, data can have atypical characteristics and high-dimensional data structures, which means that conventional analysis techniques do not work well. To analyse extra useful information from high-dimensional data, novel approaches are required.

This special issue strives to provide a timely opportunity to discuss and summarize the latest developments in this area. The emphasis will be on the theoretical methodology and mathematical analysis, though applications concerning high-dimensional data, especially real datasets, are also welcome.

Therefore, contributions containing new ideas, new insights, and new applications are particularly welcome.

Potential topics include, but are not limited to:

  • New methods, theory, and analysis of high-dimensional data
  • New algorithms and applications
  • Feature selection and analysis of high-dimensional data
  • Clustering and recognition of high-dimensional data
  • Computational intelligence related to Big Data
  • Information technology related to industrial systems
  • Hybrid methods and atypical datasets
  • Informatics and biomedical engineering
  • Medical signal analysis
  • Information analysis with applications industry
  • Real-world applications and other applications

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 126740
  • - Editorial

Information Analysis of High-Dimensional Data and Applications

Xin-She Yang | Sanghyuk Lee | ... | Nipon Theera-Umpon
  • Special Issue
  • - Volume 2015
  • - Article ID 275831
  • - Review Article

On Feature Selection and Rule Extraction for High Dimensional Data: A Case of Diffuse Large B-Cell Lymphomas Microarrays Classification

Narissara Eiamkanitchat | Nipon Theera-Umpon | Sansanee Auephanwiriyakul
  • Special Issue
  • - Volume 2015
  • - Article ID 219710
  • - Research Article

Process Monitoring and Fault Diagnosis for Shell Rolling Production of Seamless Tube

Dong Xiao | Xuyang Gao | ... | Yachun Mao
  • Special Issue
  • - Volume 2015
  • - Article ID 590678
  • - Research Article

A New Ensemble Method with Feature Space Partitioning for High-Dimensional Data Classification

Yongjun Piao | Minghao Piao | ... | Keun Ho Ryu
  • Special Issue
  • - Volume 2015
  • - Article ID 435316
  • - Research Article

An Effective Methodology with Automated Product Configuration for Software Product Line Development

Scott Uk-Jin Lee
  • Special Issue
  • - Volume 2015
  • - Article ID 931352
  • - Research Article

A Multidata Connection Scheme for Big Data High-Dimension Using the Data Connection Coefficient

Yoon-su Jeong | Seung-soo Shin
  • Special Issue
  • - Volume 2015
  • - Article ID 942435
  • - Research Article

A Novel Approach for Protein-Named Entity Recognition and Protein-Protein Interaction Extraction

Meijing Li | Tsendsuren Munkhdalai | ... | Keun Ho Ryu
  • Special Issue
  • - Volume 2015
  • - Article ID 589317
  • - Research Article

Applying Genetic Algorithm to Generation of High-Dimensional Item Response Data

ByoungWook Kim | JaMee Kim | WonGyu Lee
  • Special Issue
  • - Volume 2015
  • - Article ID 652623
  • - Research Article

Development of a Learner Profiling System Using Multidimensional Characteristics Analysis

Kinam Park | Hyesung Ji | Heuiseok Lim
  • Special Issue
  • - Volume 2015
  • - Article ID 803834
  • - Research Article

Energy Efficient MAC Scheme for Wireless Sensor Networks with High-Dimensional Data Aggregate

Seokhoon Kim | Hangki Joh | ... | Intae Ryoo
Mathematical Problems in Engineering
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