Titlebook: Business Information Systems; 22nd International C Witold Abramowicz,Rafael Corchuelo Conference proceedings 2019 Springer Nature Switzerla

方言

书目名称Business Information Systems影响因子(影响力)




书目名称Business Information Systems影响因子(影响力)学科排名




书目名称Business Information Systems网络公开度




书目名称Business Information Systems网络公开度学科排名




书目名称Business Information Systems被引频次




书目名称Business Information Systems被引频次学科排名




书目名称Business Information Systems年度引用




书目名称Business Information Systems年度引用学科排名




书目名称Business Information Systems读者反馈




书目名称Business Information Systems读者反馈学科排名

meritorious

https://doi.org/10.1007/978-3-642-74623-9 with expanding general vocabulary of professional standards with the most frequent unigrams and bigrams occurring in matching job descriptions. Performance evaluation is carried out on a representative corpus of job listings and professional standards in the field of IT.

说不出

实现

合唱队

LAIR

SPURN

Conference proceedings 2019 in Seville, Spain, in June 2019. . The theme of the BIS 2019 was "Data Science for Business Information Systems", inspiring researchers to share theoretical and practical knowledge of the different aspects related to Data Science in enterprises. The 67 papers presented in these proceedings were car

LIEN

A Literature Review on Application Areas of Social Media Analyticssis of a literature search, our aim is to determine the main application areas and summarize the current state of research. We describe these areas, show current findings from the literature and uncover gaps in research. The main application areas of SMA investigated in research are healthcare, tourism and natural disaster control.

爱了吗

Influential Nodes Detection in Dynamic Social Networkscial networks. This approach can be considered to be an extension of a previous static algorithm SND (Semantic and structural influential Nodes Detection). Experimental results prove the effectiveness of SNDUpdate to detect influential nodes in dynamic social networks.

Foolproof

System Modeling by Representing Information Systems as Hypergraphsithin complex environments that can depict huge sets of data. Our proposal is that the available algorithms can be applied on hypergraphs through profound customization whereby the capability of algorithms can be exploited for Business Information Systems.