Penerbitan SCOPUS/ERA

amin mahmoudi, mohd ridzwan yaakub and azuraliza abu bakar.  (2020).  a new real-time link prediction method based on user community changes in online social networks.  - the computer journal.  448-459. 

amin mahmoudi, azuraliza abu bakar, mehdi sookhak, mohd ridzwan yaakub.  (2020).  a temporal user attribute-based algorithm to detect communities in online social networks.  - ieee access.  15436-15438. 

ibrahim said ahmad, azuraliza abu bakar, mohd ridzwan yaakub, mohammad darwich.  (2020).  beyond sentiment classification: a novel approach for utilizing social media data for business intelligence.  - international journal of advanced computer science and applications.  437-441. 

aladeen y. r. hmoud, juhana salim and mohd ridzwan yaakub.  (2020).  platformisation of mobile operators business model: a proposition using design science approach and grounded theory principles.  - international journal on advanced science, engineering and information technology.  473-484. 

siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub.  (2019).  ant colony optimization for text feature selection in sentiment analysis.  - intelligent data analysis.  133-158. 

jamilu awwalu, azuraliza abu bakar, mohd ridzwan yaakub.  (2019).  hybrid n-gram model using naive bayes for classification of political sentiments on twitter.  - neural computing & applications.  9207-9220. 

amin mahmoudi, mohd ridzwan yaakub, azuraliza abu bakar..  (2019).  the relationship between online social network ties and user attributes.  - acm transactions on knowledge discovery from data.  1-15. 

siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub.  (2019).  a review of feature selection in sentiment analysis.  - intelligent data analysis.  159-189. 

siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub, nurhafizah moziyana mohd yusop, muslihah wook, arniyati ahmad.  (2018).  product feature ranking and popularity model based on sentiment comments.  - international journal of advanced computer science and applications. 

amin mahmoudi, mohd ridzzwan yaakub, azuraliza abu bakar.  (2018).  a new method to discretize time to identify the milestones of online social networks.  - social network analysis and mining.. 

amin mahmoudi, mohd ridzwan yaakub and azuraliza abu bakar.  (2018).  new time-based model to identify the influential users in online social networks.  - data technologies and applications.  1-13. 

azrulhizam shapi'i, noor atifah abd rahman, mohd syazwan baharuddin, mohd ridzwan yaakub.  (2018).  interactive games using hand-eye coordination method for autistic children therapy.  - international journal on advanced science, engineering and information technology. 

aladeen y.r. hmoud, juhana salim, mohd ridzwan yaakub.  (2017).  a two-sided market mechanisms toward designing a big data-driven business model for mobile network operators (mnos).  - journal of telecommunication electronic and computer engineering.  105-110. 

siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub,nurhafizah moziyana mohd yusop1.  (2017).  statistical validation of aco-knn algorithm for sentiment analysis.  - journal of telecommunication, electronic and computer engineering.  165-170. 

siti rohaidah ahmad, mohd ridzwan yaakub, azuraliza abu bakar.  (2016).  detecting relationship between features and sentiment words using yybrid of typed dependency relations layer and pos tagging (tdr layer pos tags) algorithm.  - international journal on advanced science, engineering and information technology (ijaseit).  1120-1126. 

jamilu awwalu, azuraliza abu bakar, mohd ridzwan yaakub.  (2015).  detection and polarization of political sentiments on twitter.  - international journal of applied engineering research.  41794-41799. 

abdullah s. ghareb; abdul razak hamdan; azuraliza abu bakar; mohd ridzwan yaakub.  (2015).  hybrid statistical rule-based classifier for arabic text mining.  - journal of theoretical and applied information technology.  194-204.