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Cluster Commercial Credit and Total Factor Productivity of the Manufacturing Sector

Tinghua Liu, Fengjuan Kou, Xiao Liu, Ehsan Elahi
2022 Sustainability  
The analysis of heterogeneity found that cluster commercial credit promoted the total factor productivity of state-owned enterprises, large-scale enterprises, capital-intensive industries, high-tech industries  ...  Through the analysis of the theoretical mechanism, it was found that improving the level of innovation and improving the efficiency of the capital allocation are important ways for cluster commercial credit  ...  of large-scale enterprises than small-scale enterprises.  ... 
doi:10.3390/su14063601 fatcat:57vdqww2svfz3a6homrxgooysq

Efficient Application of Complex Graph Analytics on Very Large Real World RDF Datasets

Zhe Wu, Jay Banerjee
2014 International Semantic Web Conference  
As a graph modeling language, RDF provides great flexibility for enterprise applications and it adds precision, through the use of URI and formal semantics, to enterprise data.  ...  SPARQL query and OWL inference have been two key functions for semantic web applications.  ...  We show why complex graph-based analytics matter for large enterprise-scale RDF datasets, and we share our experiences in implementing several graph analytical functions, such as page ranking, clustering  ... 
dblp:conf/semweb/WuB14 fatcat:mekzyivgvndypbznm4qqfvdh2a

Big Data Tools-An Overview

Rabie Ramadan
2017 International Journal of Computer & Software Engineering  
For the benefits of researchers, industry and practitioners, we review a large number of tools either commercial or free tools.  ...  Big data is a way for nontraditional strategies and techniques to organize, store, and process huge data collected from large datasets.  ...  Datameer Architecture [52] in its data scaling and replication where Hadoop scales to 4000 servers and petabytes of data and the processes are fully parallelized inside Hadoop clusters.  ... 
doi:10.15344/2456-4451/2017/125 fatcat:4ahnjnt2o5acncefjx5csxkeke

RISeer: Inspecting the Status and Dynamics of Regional Industrial Structure via Visual Analytics [article]

Longfei Chen, Yang Ouyang, Haipeng Zhang, Suting Hong, Quan Li
2022 arXiv   pre-print
To this end, we propose an interactive visualization system, RISeer, which is based on interpretable machine learning models and enhanced visualizations designed to identify the evolutionary patterns of  ...  industrial sector and its composition, the dynamic nature, and the large number of multivariant features of RIS records have obscured a deep and fine-grained understanding of RIS.  ...  ACKNOWLEDGMENTS We are grateful for the valuable feedback and comments provided by the anonymous reviewers.  ... 
arXiv:2208.00625v1 fatcat:a26dl2peqzf4vba6sr6yozf56u

Suburban creativity: The geography of creative industriesin Johannesburg

James J. Gregory, Christian M. Rogerson
2018 Bulletin of Geography: Socio-Economic Series  
In common with certain other investigations of creative industries the largest component of enterprises in Johannesburg is creative services involving the production of goods or services for functional  ...  Creativity is an increasing scholarly focus for urban and economic geographers.  ...  Acknowledgement Thanks are due to Wendy Job for preparing the accompanying maps. The comments received from two journal referees assisted in the revision of this paper.  ... 
doi:10.2478/bog-2018-0003 fatcat:xt4u5ttjz5bvta6cvbaydlfsxy

Development Strategy Model of the Informational Management Logistic System of a Commercial Enterprise by Neural Network Apparatus

Valeriy Lakhno, Olena Kryvoruchko, Alyona Desiatko, Andrii Blozva, Viktoriia Semidotska
2020 Cybersecurity Providing in Information and Telecommunication Systems  
The experiment is performed using the analytical platform Deductor for the construction and visualization of Kohonen maps. The Kohonen network is studied by the method of successive approximations.  ...  Accordingly, the algorithm of self-learning maps shows how clustering of multidimensional vectors.  ...  to the required level of commercial enterprises).  ... 
dblp:conf/cpits/LakhnoKDBS20 fatcat:6jj56sq2mngrxa6bdvk3bita4e

Big Data Analytics in Government: Improving Decision Making for R&D Investment in Korean SMEs

Eun Sun Kim, Yunjeong Choi, Jeongeun Byun
2019 Sustainability  
Using data from 48,309 national R&D projects carried out by enterprises from 2013 to 2017, we perform a cluster analysis and decision tree analysis to derive the determinants of their commercialization  ...  The Korean government has continuously expanded the proportion of its R&D investment in small and medium-size enterprises to improve the commercialization performance of national R&D projects.  ...  Cluster analysis methods such as principal component analysis can efficiently form clusters using a small quantity of data to interpret large-scale multidimensional data.  ... 
doi:10.3390/su12010202 fatcat:xjda6pv7lvhtzi6h3wf5x2hrt4

Building and Analyzing of Enterprise Network

Liqiang Wang, Shijun Liu, Li Pan, Lei Wu, Xiangxu Meng
2016 International Journal of Web Services Research  
To analyze the data in a more intuitional and effective way, we use some data visualization tools to process the data in EN.  ...  For the similarity with social networks, we verify power-law and small world theories in EN with statistical results on this data set.  ...  A foldable tree to visualize enterprise clusters. Figure 8 is a foldable tree to visualize enterprise clusters with keyword research.  ... 
doi:10.4018/ijwsr.2016070104 fatcat:qvkgo6r7b5h2nazn2rav4qlvga

Pathways from discovery to commercialisation: using web sources to track small and medium-sized enterprise strategies in emerging nanotechnologies

Jan Youtie, Diana Hicks, Philip Shapira, Travis Horsley
2012 Technology Analysis & Strategic Management  
While this pilot analysis has limitations of sample size, it demonstrate the potential of using web-scraping techniques to offer new insights about enterprise commercialization strategies.  ...  There is a growing need for fresh and systematic evidence about company innovation in emerging technologies such as nanotechnology.  ...  Katz (2006) proposes the use of web-based indicators drawn from page counts and linking for evaluation of large scale innovation systems, based on how the Internet affects innovation systems and vice  ... 
doi:10.1080/09537325.2012.724163 fatcat:u3xo7u7zlbe6xdgiq7kwhryihq

Working in the Australian suburbs: Creative industries workers' adaptation of traditional work spaces

Emma Felton
2013 City, Culture and Society  
Some larger suburbs have become mini inner-cities and commercial nodes providing large scale employment and a plethora of retail and commercial services.  ...  The perceived benefits of clustering for creative industries for economies of scale, knowledge exchange and networking is well documented in relation to creative industries co-located in inner-city precincts  ... 
doi:10.1016/j.ccs.2012.12.002 fatcat:2vysw343ofgqzh4wwbhppppace

Searching for open windows and unlocked doors: port scanning in large-scale commodity clusters

A.J. Lee, G.A. Koenig, Xin Meng, W. Yurcik
2005 CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005.  
As such, the techniques used to secure these clusters have, for the most part, been adaptations of techniques developed for securing and monitoring enterprise computing environments.  ...  We have previously proposed the idea of monitoring the security-state of large-scale commodity clusters by examining their emergent properties, that is, properties that are only visible when one ceases  ...  Introduction Over the course of the last decade, the average performance of large-scale commodity clusters deployed in academic, commercial, and research environments has increased steadily [18] .  ... 
doi:10.1109/ccgrid.2005.1558546 dblp:conf/ccgrid/LeeKMY05 fatcat:aqqbny256fh2holajf7fvxb7i4

IBM Scenario Planning Advisor: A Neuro-Symbolic ERM Solution

Mark Feblowitz, Oktie Hassanzadeh, Michael Katz, Shirin Sohrabi, Kavitha Srinivas, Octavian Udrea
2021 AAAI Conference on Artificial Intelligence  
Scenario Planning is a commonly used Enterprise Risk Management (ERM) technique to help decision makers with longterm plans by considering multiple alternative futures.  ...  The SPA solution is deployed under a non-commercial use license at https://spa-service.draco.res.ibm.com and includes a user guide to help new users get started.  ...  Furthermore, our awareness and scenario generation functions still required significant user input or sometimes could not scale for large user requests.  ... 
dblp:conf/aaai/FeblowitzH0SSU21 fatcat:tsfhwqcgbrdsrmp5wafn7f46na

Strategies for creative industries: an international review

Jo Foord
2009 Creative Industries Journal  
Mature Led by established large-scale creative enterprises in specific industries with established sub-contracting linkages and highly developed national and international markets.  ...  These are largely Aspirational creative clusters with low levels of enterprise activity but strong links with distinctive neighbourhood cultures (for example in Gracia and Ciutat Vella).  ... 
doi:10.1386/cij.1.2.91_1 fatcat:7mns3aezzresdkrl4pdbednbi4

Construction and Management of Computer Professional Education Laboratory in the Context of Big Data

Chunying Shi, HuiQin Li, Chuanzhong Mao, Xiufang Shi, Yanjun Zhang, Jin Zhang
2018 Educational Sciences: Theory & Practice  
The enterprises' demand for big data talents has become more urgent.  ...  However, enterprises generally reflect that the big datarelated talents cultivated by universities cannot meet the requirements of enterprises.  ...  Besides, senior students and graduate students can also complete the construction of a large-scale data processing platform in the laboratory, and make processing of real big data in enterprises. 2) The  ... 
doi:10.12738/estp.2018.6.228 fatcat:tokgjsadibbr5iu2zplqh3ias4

Synthesizing Data to Explore the Dynamic Spatial Patterns of Hotel Development

Li Yin, Liang Wu, Sam Cole, Laiyun Wu
2019 ISPRS International Journal of Geo-Information  
This study uses spatial visualization and data harvesting to synthesize a variety of data for exploring the evolution of hotel clusters and co-location synergies in US cities.  ...  We conclude that synthesizing social media and large commercial data can generate a more robust database for research on tourism development and planning and improving opportunities for the examining spatial  ...  Acknowledgments: We would like to thank the reviewers and editors for their constructive comments. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi8100448 fatcat:hgfwsi2ez5cs3l5fcshh3uqd54
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