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

方言

書目名稱Business Information Systems影響因子(影響力)




書目名稱Business Information Systems影響因子(影響力)學科排名




書目名稱Business Information Systems網(wǎng)絡(luò)公開度




書目名稱Business Information Systems網(wǎng)絡(luò)公開度學科排名




書目名稱Business Information Systems被引頻次




書目名稱Business Information Systems被引頻次學科排名




書目名稱Business Information Systems年度引用




書目名稱Business Information Systems年度引用學科排名




書目名稱Business Information Systems讀者反饋




書目名稱Business Information Systems讀者反饋學科排名

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.

說不出

實現(xiàn)

合唱隊

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.

愛了嗎

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.