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Now showing items 21-30 of 31
MINTED: Multicast virtual network embedding in cloud data centers with delay constraints
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
Network virtualization is regarded as the pillar of cloud computing, enabling the multi-tenancy concept where multiple Virtual Networks (VNs) can cohabit the same substrate network. With network virtualization, the problem ...
CAT: Credibility Analysis of Arabic Content on Twitter
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Data generated on Twitter has become a rich source for various data mining tasks. Those data analysis tasks that are dependent on the tweet semantics, such as sentiment analysis, emotion mining, and rumor detection among ...
Feature selection for effective health index diagnoses of power transformers
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
This letter investigates an approach based on feature selection and classification techniques to reduce assessment complexities of power transformers. This approach decreases the number of features by extracting the most ...
Regional failure survivability for cloud networking services using post fault restoration
(2013 , Conference Paper)
Cloud computing services are being adopted to expand applications across dispersed data-center sites. As these new paradigms require active data exchange, they impose further virtual network (VN) mappings over operator ...
Credit default swap pricing using artificial neural networks
(2010 , Conference Paper)
The credit derivatives market has experienced unprecedented growth over the past few years. As such, there is a growing interest in tools for pricing the most prominent credit derivative, the credit default swap. In this ...
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Opinion mining in Arabic is a challenging task given the rich morphology of the language. The task becomes more challenging when it is applied to Twitter data, which contains additional sources of noise, such as the use ...
Hulmona ( حلمنا ): The universal language model in arabic
(
Association for Computational Linguistics (ACL)
, 2019 , Conference Paper)
Arabic is a complex language with limited resources which makes it challenging to produce accurate text classification tasks such as sentiment analysis. The utilization of transfer learning (TL) has recently shown promising ...
Towards scalable traffic management in cloud data centers
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Article)
Cloud Computing is becoming a mainstream paradigm, as organizations, large and small, begin to harness its benefits. This novel technology brings new challenges, mostly in the protocols that govern its underlying infrastructure. ...
Query hidden attributes in social networks
(
IEEE Computer Society
, 2015 , Conference Paper)
Micro blogs and collaborative content sites such as Twitter and Amazon are popular among millions of users who generate huge numbers of tweets, posts, and reviews every day. Despite their popularity, these sites only provide ...
Methodical evaluation of Arabic word embeddings
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Many unsupervised learning techniques have been proposed to obtain meaningful representations of words from text. In this study, we evaluate these various techniques when used to generate Arabic word embeddings. We first ...