نتایج جستجو برای: linkedin

تعداد نتایج: 807  

2013

Asserting that data is vital to business is an understatement. Organizations have generated more and more data for years, but struggle to use it effectively. Clearly data has more important uses than ensuring compliance with regulatory requirements. In addition, data is being generated with greater velocity, due to the advent of new pervasive devices (e.g., smartphones, tablets, etc.), social W...

Journal: :IJVCSN 2015
Sarah Bouraga Ivan Jureta Stéphane Faulkner

Online Social Networks (OSNs), such as Facebook and LinkedIn, are now widely used. They count users in the hundreds of millions. This paper surveys popular OSNs in order to identify and present a pattern of recurring requirements, and a model of that pattern in the i-star requirements modelling language. The pattern can serve as a starting point for requirements engineering of new OSNs. Pattern...

Journal: :Inf. Services and Use 2015
Monica Marra

In recent years, the influences of the main web 2.0 tools on the scholarly communication cycle have been at heart of significant surveys. Awareness and/or adoption rates of these tools were a relevant aspect of this subject. In a very similar perspective, the present study addresses the Italian astrophysical research community. An online questionnaire was created in late September 2014 for the ...

2016
Qingbo Hu Sihong Xie Jiawei Zhang Qiang Zhu Songtao Guo Philip S. Yu

Nowadays, a modern e-commerce company may have both online sales and offline sales departments. Normally, online sales attempt to sell in small quantities to individual customers through broadcasting a large amount of emails or promotion codes, which heavily rely on the designed backend algorithms. Offline sales, on the other hand, try to sell in much larger quantities to enterprise customers t...

2013
Chunmian Ge Ke-Wei Huang

Many issues in strategy and technology management are categorical. Errors in classification of the dependent variable cause systematic bias in regression estimates. In the context of the linear probability model, we characterize the misclassification bias as being proportional to the difference between two measures. One is the “bias” in the explanatory variable, conditional on false negative, m...

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