scholarly journals View management for lifelong visual maps

2019 ◽  
Author(s):  
Nandan Banerjee ◽  
Ryan C. Connolly ◽  
Dimitri Lisin ◽  
Jimmy Briggs ◽  
Mario E. Munich
Keyword(s):  
Visual Maps ◽  
View Management

scholarly journals Self-Organising Map Approach to Individual Profiles: Age, Sex and Culture in Internet Dating

2006 ◽  
Vol 11 (1) ◽  
pp. 114-129 ◽  
Author(s):  
Teemu Suna ◽  
Michael Hardey ◽  
Jouni Huhtinen ◽  
Yrjö Hiltunen ◽  
Kimmo Kaski ◽  
...  
Keyword(s):  
Personal Information ◽  
Analytical Techniques ◽  
Original Data ◽  
Data Sets ◽  
Complex Data ◽  
Internet Dating ◽  
Visual Maps ◽  
Unsupervised Neural Network ◽  
Recent Developments ◽  
Self Organising Map

A marked feature of recent developments in the networked society has been the growth in the number of people making use of Internet dating services. These services involve the accumulation of large amounts of personal information which individuals utilise to find others and potentially arrange offline meetings. The consequent data represent a challenge to conventional analysis, for example, the service that provided the data used in this paper had approximately 5,000 users all of whom completed an extensive questionnaire resulting in some 300 parameters. This creates an opportunity to apply innovative analytical techniques that may provide new sociological insights into complex data. In this paper we utilise the self-organising map (SOM), an unsupervised neural network methodology, to explore Internet dating data. The resulting visual maps are used to demonstrate the ability of SOMs to reveal interrelated parameters. The SOM process led to the emergence of correlations that were obscured in the original data and pointed to the role of what we call ‘cultural age’ in the profiles and partnership preferences of the individuals. Our results suggest that the SOM approach offers a well established methodology that can be easily applied to complex sociological data sets. The SOM outcomes are discussed in relation to other research about identifying others and forming relationships in a network society.

A scientometric analysis of BIM studies in facilities management

2019 ◽  
Vol 37 (2) ◽  
pp. 122-139 ◽  
Author(s):  
Mustafa Hilal ◽  
Tayyab Maqsood ◽  
Amir Abdekhodaee
Keyword(s):  
Mapping Method ◽  
Facility Management ◽  
Future Research ◽  
Scientometric Analysis ◽  
Facilities Management ◽  
Science Mapping ◽  
Content Type ◽  
Visual Maps ◽  
Building Information ◽  
Mapping Techniques

Purpose The purpose of this paper is to statistically classify and categorize Building Information Modelling (BIM)-Facility Management (FM) publications in order to extract useful information related to the adoption and use of BIM in FM. Design/methodology/approach This study employs a quantitative approach using science mapping techniques to examine BIM-FM publications using Web of Science (WOS) database for the period between 2000 and April 2018. Findings The findings guide the researchers who are interested in the BIM-FM model by providing visual maps analysis of that area in a simple, easy and readable way. In addition, they help the researchers to understand which authors and journals to consider when dealing with BIM-FM topics. Finally, knowledge gaps in this domain can be identified easily using the findings of the Scientometric analysis. Research limitations/implications First, the results of the analysis depend on the database that has been extracted from WOS, and therefore it carries any of WOS’s limitations in terms of how much it covers the published studies. Another limitation is that the study is based on exploration of “what” questions, rather than “how” and “why”. These limitations represent the hot topics to be addressed in future research. Originality/value This research is the first to conduct the Scientometric Analysis of BIM-FM topics, in which 68 top-ranked publications were systematically examined using a Science Mapping method through VOSviewer software.

scholarly journals An improved polychromatic graphs-based BOM multi-view management and version control method for complex products

2021 ◽  
Vol 18 (1) ◽  
pp. 712-726
Author(s):  
Jun Chen ◽  
◽  
Gangfeng Wang ◽  
Tao Xue ◽  
Tao Li ◽  
...  
Keyword(s):  
Control Method ◽  
Version Control ◽  
Complex Products ◽  
View Management

Smart-Views: Decentralized OLAP View Management Using Blockchains

2021 ◽  
pp. 216-221
Author(s):  
Kostas Messanakis ◽  
Petros Demetrakopoulos ◽  
Yannis Kotidis
Keyword(s):  
View Management

scholarly journals PCIR: a database of Plant Chloroplast Inverted Repeats

Database ◽  
2019 ◽  
Vol 2019 ◽  
Author(s):  
Rui Zhang ◽  
Fangfang Ge ◽  
Huayang Li ◽  
Yudong Chen ◽  
Ying Zhao ◽  
...  
Keyword(s):  
Dna Sequences ◽  
Large Scale ◽  
Distribution Patterns ◽  
Functional Genes ◽  
Inverted Repeats ◽  
Visual Maps ◽  
Quality Marker ◽  
Chloroplast Genomes ◽  
Architectural Features ◽  
Plant Chloroplast

Abstract Inverted repeats (IRs) serve as potential biomarkers for genomic instability, DNA replication and other genetic processes. However, little information can be found in databases to help researchers recognize potential IR nucleotides, explore junction sites and annotate related functional genes. Plant Chloroplast Inverted Repeats (PCIR) is an interactive, web-based platform containing various sequenced chloroplast genomes that enables detection, searching and visualization of large-scale detailed information on IRs. PCIR contains many datasets, including 21 433 IRs, 113 plants chloroplast genomes, 16 948 functional genes and 21 659 visual maps. This database offers an online prediction tool for detecting IRs based on DNA sequences. PCIR can also analyze phylogenetic relationships using IR information among different species and provide users with high-quality marker maps. This database will be a valuable resource for IR distribution patterns, related genes and architectural features.

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