scholarly journals Similarity clustering of dimensions for an enhanced visualization of multidimensional data

2002 ◽  
Author(s):  
M. Ankerst ◽  
S. Berchtold ◽  
D.A. Keim
Keyword(s):  
Multidimensional Data

Recommendations for deploying multidimensio

2017 ◽  
Vol 11 (1) ◽  
pp. 68-80
Author(s):  
E. E. Akimkina
Keyword(s):  
Comparative Analysis ◽  
Management System ◽  
Analytical Data ◽  
Enterprise Management ◽  
Multidimensional Data ◽  
Dimensional Approach ◽  
Process Data ◽  
Modeling Systems ◽  
Enterprise Management System ◽  
Practical Recommendations

A comparative analysis of different approaches to analytical data and shows that the most ample opportunities has a multi-dimensional approach, implemented with the help of OLAP technology. Presented multidimensional OLAP-cube model with the measurements for the analysis and processing of process data. Practical recommendations for the deployment of a multidimensional data modeling systems with regard to their integration into existing enterprise management system.

Structuring and visualization of indicators in multidimensional data cubes

2018 ◽  
pp. 79-87
Author(s):  
E. E. Akimkina
Keyword(s):  
Decision Making ◽  
Data Processing ◽  
Data Management ◽  
Multidimensional Data ◽  
End User ◽  
Processing Technologies ◽  
Data Cubes ◽  
Multidimensional Visualization ◽  
Multidimensional Data Cubes ◽  
Practical Recommendations

The problems of structuring of indicators in multidimensional data cubes with their subsequent processing with the help of end-user tools providing multidimensional visualization and data management are analyzed; the possibilities of multidimensional data processing technologies for managing and supporting decision making at a design and technological enterprise are shown; practical recommendations on the use of domestic computer environments for the structuring and visualization of multidimensional data cubes are given.

scholarly journals UHPLC-IM-Q-ToFMS analysis of maradolipids, found exclusively in Caenorhabditis elegans dauer larvae

2021 ◽  
Vol 413 (8) ◽  
pp. 2091-2102
Author(s):  
Michael Witting ◽  
Ulrike Schmidt ◽  
Hans-Joachim Knölker
Keyword(s):  
Caenorhabditis Elegans ◽  
Developmental Stage ◽  
Ion Mobility ◽  
Environmental Conditions ◽  
Multidimensional Data ◽  
Specific Class ◽  
Lipid Profiling ◽  
C Elegans ◽  
Tandem Mass Spectrometric ◽  
Dauer Larvae

AbstractLipid identification is one of the current bottlenecks in lipidomics and lipid profiling, especially for novel lipid classes, and requires multidimensional data for correct annotation. We used the combination of chromatographic and ion mobility separation together with data-independent acquisition (DIA) of tandem mass spectrometric data for the analysis of lipids in the biomedical model organism Caenorhabditis elegans. C. elegans reacts to harsh environmental conditions by interrupting its normal life cycle and entering an alternative developmental stage called dauer stage. Dauer larvae show distinct changes in metabolism and morphology to survive unfavorable environmental conditions and are able to survive for a long time without feeding. Only at this developmental stage, dauer larvae produce a specific class of glycolipids called maradolipids. We performed an analysis of maradolipids using ultrahigh performance liquid chromatography-ion mobility spectrometry-quadrupole-time of flight-mass spectrometry (UHPLC-IM-Q-ToFMS) using drift tube ion mobility to showcase how the integration of retention times, collisional cross sections, and DIA fragmentation data can be used for lipid identification. The obtained results show that combination of UHPLC and IM separation together with DIA represents a valuable tool for initial lipid identification. Using this analytical tool, a total of 45 marado- and lysomaradolipids have been putatively identified and 10 confirmed by authentic standards directly from C. elegans dauer larvae lipid extracts without the further need for further purification of glycolipids. Furthermore, we putatively identified two isomers of a lysomaradolipid not known so far. Graphical abstract

Clustered Iconography: A Resurrected Method for Representing Multidimensional Data

2020 ◽  
pp. 004912412091494
Author(s):  
Olav Muurlink ◽  
Anthony M. Gould ◽  
Jean-Etienne Joullié
Keyword(s):  
Twentieth Century ◽  
Open Source ◽  
Multidimensional Data ◽  
Statistical Techniques ◽  
Graphical Representations ◽  
Graphical Methods ◽  
History Of ◽  
Research Findings

Development of graphical methods for representing data has not kept up with progress in statistical techniques. This article presents a brief history of graphical representations of research findings and makes the case for a revival of methods developed in the early and mid-twentieth century, notably ISOTYPE and Chernoff’s faces. It resurrects and improves a procedure, clustered iconography, which enables the presentation of multidimensional data through which readers engage more effectively with the presentation’s central message by way of an easier understanding of relationships between variables. The proposed technique is especially well adapted to the needs and protocols of open-source research.

scholarly journals Mining multiple-level fuzzy blocks from multidimensional data

2008 ◽  
Vol 159 (12) ◽  
pp. 1535-1553 ◽  
Author(s):  
Yeow Wei Choong ◽  
Anne Laurent ◽  
Dominique Laurent
Keyword(s):  
Multidimensional Data ◽  
Multiple Level
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