Titlebook: Web Engineering; 20th International C Maria Bielikova,Tommi Mikkonen,Cesare Pautasso Conference proceedings 2020 Springer Nature Switzerlan

智力高

爭(zhēng)吵加

opalescence

Comparing a Polling and Push-Based Approach for Live Open Data Interfacestes to the client. In the state of the art, it is clear that pushing delivers a lower latency compared to pulling, however, this has not been tested for an Open Data usage scenario where 15?k clients are not an exception. Also, there are no general guidelines when to use a polling or push-based appr

LARK

Comparing a Polling and Push-Based Approach for Live Open Data Interfacestes to the client. In the state of the art, it is clear that pushing delivers a lower latency compared to pulling, however, this has not been tested for an Open Data usage scenario where 15?k clients are not an exception. Also, there are no general guidelines when to use a polling or push-based appr

Astigmatism

: Providing Scalable and Reliable Messaging Service in Distributed Systems system, to support real-time asynchronous communication. In this work, we introduce novel messaging oriented middleware named as NuMessage, which can provide universal messaging service, including supporting push and pull modes and different scenarios. We also propose a retry mechanism to guarantee

indicate

: Providing Scalable and Reliable Messaging Service in Distributed Systems system, to support real-time asynchronous communication. In this work, we introduce novel messaging oriented middleware named as NuMessage, which can provide universal messaging service, including supporting push and pull modes and different scenarios. We also propose a retry mechanism to guarantee

治愈

A Credit Scoring Model for SMEs Based on Social Media Data and improvement of cash flow. Credit scoring is, in its most common form, used by (potential) creditors to predict the probability of SMEs to default in the future, as an inverse measure of creditworthiness. The majority of existing credit scoring methods for SMEs are solely based on the analysis o

賞錢

Fulsome

Who’s Behind That Website? Classifying Websites by the Degree of Commercial Intentan individual person, a company, a non-profit organisation, or a public institution constitutes a great challenge in website classification as website content might be sparse. In this paper, we present a novel approach for determining the commercial intent of websites by using both supervised and un

褪色

Who’s Behind That Website? Classifying Websites by the Degree of Commercial Intentan individual person, a company, a non-profit organisation, or a public institution constitutes a great challenge in website classification as website content might be sparse. In this paper, we present a novel approach for determining the commercial intent of websites by using both supervised and un