nurul suaidah ahmad radzali, azuraliza abu bakar & amri izaffi zamahsasri.  (2023).  machine learning models for behavioural diversity of asian elephants prediction using satellite collar data.  - journal of information and communication technology.  363-398. 

mohd.ridzuan ab. khalil, azuraliza abu bakar.  (2023).  a comparative study of deep learning algorithms in univariate and multivariate forecasting of the malaysian stock market.  - sains malaysiana.  993-1009. 

herman yuliansyah, zulaiha ali othman, azuraliza abu bakar.  (2023).  a new link prediction method to alleviate the cold-start problem based on extending common neighbor and degree centrality.  - physica a: statistical mechanics and its applications.  1-12. 

mohammed shantal, zalinda othman and azuraliza abu bakar.  (2023).  a novel approach for data feature weighting using correlation coefficients and minmax normalization.  - symmetry.  1-18. 

teh noranis mohd aris, azuraliza abu bakar, normadiah mahiddin, maslina zolkepli,.  (2023).  classification and prediction evaluation of a fuzzy rule-based model for diabetes diagnosis, level of care and pima indians diabetes datasets.  - international journal on recent and innovation trends in computing and communication.  748-758. 

normadiah mahiddin, zulaiha ali othman, azuraliza abu bakar, nur arzuar abdul rahim.  (2022).  an interrelated decision-making model for an intelligent decision support system in healthcare.  - ieee access.  31660-31676. 

nor ashikin mohamad kamal, azuraliza abu bakar, suhaila zainudin.  (2022).  gpcr protein feature representation using discrete wavelet transform and particle swarm optimisation algorithm.  - the international journal of multimedia and its applications.  1-16. 

amalia mabrina rus, zulaiha ali othman, azuraliza abu bakar, suhaila zainuddin.  (2022).  a hierarchical stdbscan with three neighborhood boundary clustering algorithm for clustering spatio temporal data.  - international journal of advanced computer science and applications.  614-626. 

nor ashikin mohamad kamal, azuraliza abu bakar, suhaila zainudin.  (2022).  optimization of discrete wavelet transform feature representation and hierarchical classification of g-protein coupled receptor using firefly algorithm and particle swarm optimization.  - applied sciences.  1-19. 

herman yuliansyah, zulaiha ali othman, azuraliza abu bakar.  (2022).  extending adamic adar for cols-start in link prediction based on network metrics.  - international journal of advanced of intelligent informatics.  1-14. 

mohammed alweshah, saleh alkhalaileh, mohammed azmi al-betar, azuraliza abu bakar.  (2022).  coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis.  - knowledge based systems.  1-19. 

mariah abdul rahman, nor samsiah sani, rusnita hamdan, zulaiha ali othman, azuraliza abu bakar.  (2021).  a clustering approach to identify multidimensional poverty indicators for the bottom 40 percent group.  - plos one.  1-25. 

izhar che zainol rashid, azuraliza abu bakar, hazura mohamed, suhaila zainudin.  (2021).  fuzzy c-means clustering for rainfall signature detection and towards understanding weather patterns.  - international journal of global warming.  162-180. 

raja azhan syah raja wahab & azuraliza abu bakar.  (2021).  digital economy tax compliance model in malaysia using machine learning approach.  - sains malaysiana.  2059-2077. 

mustafa tareq, elankovan a sundararajan, aaron harwood, azuraliza abu bakar.  (2021).  a systematic review of density grid-based clustering for data streams.  - ieee access.  579-596. 

ibrahim ahmad said, azuraliza abu bakar, mohd ridzwan yaakub.  (2020).  movie revenue prediction based on purchase intention mining using youtube trailer reviews.  - information processing and management.  1-15. 

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. 

abdollah ansari, ibrahim said ahmad, azuraliza abu bakar and mohd ridzwan yaakub.  (2020).  a hybrid metaheuristic method in training artificial neural network for bankruptcy prediction.  - ieee access.  17664-17665. 

azuraliza abu bakar, rusnita hamdan, nor samsiah sani.  (2020).  ensemble learning for multidimensional poverty classification.  - sains malaysiana.  447-459. 

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. 

wirawati dewi ahmad, azuraliza abu bakar.  (2020).  ensemble machine learning model for higher learning scholarship award decisions.  - international journal of advanced computer science and applications.  303-312. 

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. 

mohammed h. afif, abdullah saeed ghareb, abdulgbar saifc, azuraliza abu bakar, omer bazighifane.  (2020).  genetic algorithm rule based categorization method for textual data mining.  - decision science letters.  37-50. 

maryam mousavi, hassan khotanlou, azuraliza abu bakar, mohammadmahdi vakilian.  (2020).  varying density method for data stream clustering.  - applied soft computing.  1-14. 

herman yuliansyah, zulaiha ali othman, azuraliza abu bakar.  (2020).  taxonomy of link prediction for social network analysis: a review.  - ieee access.  83470-83487. 

zulaiha ali othman, azuraliza abu bakar, nor samsiah sani, jamaludin sallim.  (2020).  household overspending model amongst b40, m40 and t20 using classification algorithm.  - (ijacsa) international journal of advanced computer science and applications.  392-399. 

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. 

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. 

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. 

idheba mohamad ali omer swesi, azuraliza abu bakar.  (2019).  feature clustering for pso-based feature construction on high-dimensional data.  - journal of information and communication technology.  439-472. 

shakirah mohd taib,zahiah akhma, mohd zabidi,izzatdin abdul aziz, farahida hanim mousor, azuraliza abu bakar, ainul akmar mokhtar.  (2018).  discovery of corrosion patterns using symbolic time series representation and n-gram model.  - international journal of advanced computer science and applications.  . 

nor samsiah sani , mariah abdul rahman , azuraliza abu bakar , shahnorbanun sahran , hafiz mohd sarim.  (2018).  machine learning approach for bottom 40 percent households (b40) poverty classification.  - international journal on advanced science, engineering and information technology.  . 

mohammed hasan aldulaimi, suhaila zainudin, azuraliza abu bakar.  (2018).  an improved method to enhance protein structural class prediction using their secondary structure sequences and genetic algorithm.  - international journal of bioinformatics research and applications.  . 

ghassan saleh al-dharhani, zulaiha ali othman and azuraliza abu bakar, sharifah mastura syed abdullah.  (2018).  discovering meaningful patterns for tropical climate change in malaysia.  - international journal of global warming.  . 

zulaiha ali othman, noraini ismail, azuraliza abu bakar, mohd talib latif, sharifah mastura syed abdullah.  (2018).  rules discovery of high ozone in klang areas using data mining approach.  - international journal on advanced science, engineering and information technology.  . 

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..  . 

nor samsiah sani, mariah abdul rahman, azuraliza abu bakar, shahnorbanun sahran, hafiz mohd sarim.  (2018).  machine learning approach for bottom 40 percent households (b40) poverty classification.  - international journal on advanced science, engineering and information technology.  . 

nor ashikin mohamad kamal, azuraliza abu bakar & suhaila zainudin.  (2018).  classification of human membrane protein types using optimal local discriminant bases feature extraction method.  - journal of theoretical and applied information technology.  767-771. 

hani a.k. ihlayyel, nurfahdlina mohd sharef, mohd zakree ahmad nazri and azuraliza abu bakar.  (2018).  an enhanced feature representation based on linear regression model for stock market prediction.  - intelligent data analysis.  45-76. 

mohamad farhan mohamad mohsin, azuraliza abu bakar, abdul razak hamdan, mohd helmy abdul wahab.  (2018).  an improved artificial dendrite cell algorithm for abnormal signal detection.  - journal of information and communication technology.  33-54. 

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. 

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.  . 

siti nur afiqah mohd arif, mohd farhan mohd mohsin, azuraliza abu bakar, abdul razak hamdan, sharifah mastura syed abdullah.  (2017).  change point analysis: a statistical approach to detect potential abrupt change.  - jurnal teknologi.  147-157. 

husam i.s. abuhamad, azuraliza abu bakar, suhaila zainudin, mazrura sahani, zainudin mohd ali.  (2017).  feature selection algorithms for malaysian dengue outbreak detection model.  - sains malaysiana.  255-265. 

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. 

mohamad farhan mohamad mohsin, abdul razak hamdan, azuraliza abu bakar, mohd helmy abd wahab.  (2017).  validation on an enhanced dendrite cell algorithm using statistical analysis.  - international journal on advanced science, engineering and information technology..  482-488. 

idheba mohamad swesi, azuraliza abu bakar.  (2017).  an enhanced binary particle swarm optimization (ebpso) algorithm based a v-shaped transfer function for feature selection in high dimensional data.  - international journal of advances in soft computing and its applications.  217-238. 

mohammed hasan aldulaimi, suhaila zainudin, azuraliza abu bakar.  (2016).  an improved method for predicting protein structure classes by incorporating hydropathic and secondary based on feature selection technique).  - journal of engineering and applied sciences.  430-435. 

alshareef a., bakar a.a., hamdan a.r., abdullah s.m.s., jaafar o..  (2016).  sequential pattern discovery for weather prediction problem.  - studies in computational intelligence.  223-240. 

abdullah saeed ghareb, azuraliza abu bakar, abdul razak hamdan.  (2016).  hybrid feature selection based on enhanced genetic algorithm for text categorization.  - expert systems with applications.  31-47. 

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. 

suhaila zainudin, dalia sami jasim, azuraliza abu bakar.  (2016).  comparative analysis of data mining techniques for malaysian rainfall prediction.  - international journal on advanced science, engineering and information technology.  1148-1153. 

mohamad farhan mohamad mohsin ; abdul razak hamdan ; azuraliza abu bakar.  (2016).  an upper and lower cusum for signal normalization in the dendritic cell algorithm.  - evolutionary intelligence.  33-51. 

a.l.sayeth saabith, elankovan sundararajan, and azuraliza abu bakar.  (2016).  parallel implementation of apriori algorithms on the hadoop-mapreduce platform-an evaluation of literature.  - journal of theoretical and applied information technology.  321-351. 

shakirah mohd taib, azuraliza abu bakar, abdul razak hamdan, sharifah mastura syed abdullah.  (2015).  classifying weather time series using feature based approach.  - international journal of advances in soft computing and its applications.  56-71. 

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. 

maryam mousavi, azuraliza abu bakar.  (2015).  improved density based algorithm for data stream clustering.  - jurnal teknologi.  73-77. 

fatemeh boobord, zalinda othman, and azuraliza abu bakar.  (2015).  a wk-means approach for clustering.  - international arab journal of information technology.  489-493. 

a. m. ahmed, azuraliza abu bakar, abdul razak hamdan, sharifah mastura syed abdullah, othman jaafar.  (2015).  sequential pattern discovery algorithm for malaysia rainfall prediction.  - acta physica polonica a.  324-326. 

maryam mousavi, azuraliza abu bakar, mohammadmahdi vakilian.  (2015).  data stream clustering algorithms: a review.  - international journal of advances in soft computing and its applications.  1-15. 

yahyia benyahmed, azuraliza abu bakar, abdul razak hamdan, sharifah mastura syed abdullah.  (2015).  a time-weighted average-based paa representation for time series symbolization.  - international journal of advance soft computing and applications.  1-15. 

fatemeh boobord, zalinda othman, and azuraliza abu bakar.  (2015).  pcawk : a hybridized clustering algorithm based on pca and wk-means for large size of dataset.  - international journal of advances in soft computing and its applications.  31-41. 

yahyia benyahmed, azuraliza abu bakar, abdul razakhamdan.  (2015).  adaptive piecewise approximation based on weighted average approach for symbolic time series representation.  - international review on computers and software (i.re.co.s.).  862-874. 

yahyia benyahmed,azuraliza abu bakar,abdul razak hamdan,almahdi ahmed, sharifah mastura syed abdullah.  (2015).  adaptive sliding window algorithm for weather data segmentation.  - journal of theoretical and applied information technology.  322-333. 

siti sakira kamaruddin, azuraliza abu bakab, abdul razak hamdan, fauzias mat nor, mohd zakree ahmad nazri, zulaiha ali othman and ghassan saleh hussein.  (2015).  a text mining system for deviation detection in financial documents.  - intelligent data analysis.  19-44. 

djoko budiyanto setyohadi, azuraliza abu bakar and zulaiha ali othman.  (2015).  optimization overlap clustering based on the hybrid rough discernibility concept and rough k-means.  - intelligent data analysis.  795-823. 

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. 

misinem; azuraliza abu bakar; abdul razak hamdan; faizah shaari.  (2014).  attribute value pairs based on discernibility matrix for outliers detection.  - journal of theoretical and applied information technology.  623-633. 

anis suhailis abdul kadir; azuraliza abu bakar; abdul razak hamdan.  (2014).  enhancing classification accuracy with frequent positive and negative rules.  - journal of theoretical and applied information technology.  699-713. 

abdullah s. ghareb, abdul razak hamdan, azuraliza abu bakar.  (2014).  integrating noun-based feature ranking and selection methods with arabic text associative classification approach.  - arabian journal for science and engineering.  7807-7822. 

mohamad farhan mohamad mohsin, abdul razak hamdan, azuraliza abu bakar.  (2014).  integration of the dendritic cell algorithm with k-means clustering.  - international journal of advances in soft computing and applications.  61-77. 

mohamad farhan mohamad mohsin, azuraliza abu bakar , abdul razak hamdan.  (2014).  outbreak detection model based on danger theory.  - applied soft computing.  612-622. 

anis suhailis abdul kadir, azuraliza abu bakar, abdul razak hamdan.  (2014).  frequent positive and negative (fpn) itemset approach for outlier detection.  - intelligent data analysis.  1049-1065. 

vahid beiranvand,mohamad mobasher kashani, azuraliza abu bakar.  (2014).  multi-objective pso algorithm for mining numerical association rules without a priori discretization.  - expert system with applications.  41:4259-4273. 

ghassan saleh al-dharhani, zulaiha ali othman and azuraliza abu bakar.  (2014).  a graph-based ant colony optimization for association rule mining.  - arabian journal for science and engineering.  39 (6): 4651-4665. 

zulaiha ali othman, azuraliza abu bakar, afaf muftah adabashi and zurina muda.  (2014).  a similarity normal clustering labelling algorithm for clustering network intrusion detection.  - journal of applied sciences.  14(10):969-980. 

ahmed mohammed abbas, azuraliza abu bakar, mohd zakree ahmad.  (2014).  fast dynamic clustering soap messages based compression and aggregation model for enhanced performance of web services.  - journal of network and computer applications.  41:80-88. 

s. n. h. s. abdullah, r. a. m. yusoff, n. f. a. zainal, s. abdullah, a. a bakar, k. omar.  (2014).  paddy abnormality vision recognition tool based on multi-layered mamdani fuzzy modeling.  - applied engineering in agriculture.  30(2): 325-334. 

zulaiha ali othman, azuraliza abu bakar, roliana ibrahim, nurul ain mohamed hassim.  (2013).  rough outlier method for network intrusion detection.  - international journal of information processing and management.  4(7):39-50. 

azuraliza abu bakar, zulaiha ali othman, mohd zakree ahmad nazri, abdul razak hamdan, hafiz mohd sarim, khairatul alyani badari, farah natasyah abdul hanan.  (2013).  classification of halal status for food product using data mining approach.  - advances in information sciences and service sciences.  5(15):42-59. 

m.r.f. nabilah, p. andi, o. zalinda, a.b. azuraliza.  (2013).  comparative study - three artificial intelligence techniques for rain domain in precipitation forecast.  - world academy of science, engineering and technology.  666-671. 

nabilah filzah mohd. radzuan, zalinda othman, azuraliza abu bakar, abdul razak hamdan.  (2013).  representing data without lost compression properties in time series: a review.  - world academy of science, engineering and technology.  84:2000-2003. 

maryam mousavi, azuraliza abu bakar, suhaila zainudin, zalizah awang long, mazrura sahani, mohammadmahdi valikian.  (2013).  negative selection algorithm for dengue outbreak detection.  - turkish journal of electrical engineering and computer sciences.  21:2345-2356. 

noor diana ahmad tarmizi, farha jamaluddin, azuraliza abu bakar, zulaiha ali othman, abdul razak hamdan.  (2013).  malaysia dengue outbreak detection using data mining models.  - journal of next generation information technology.  4(6):96-107. 

mohd zakree ahmad nazri, nor emizan abdul majid, azuraliza abu bakar and hafiz mohd sarim.  (2012).  network intrusion prediction using associative classification method.  - asian journal of information technology.  11(5):153-159. 

m. faiza abdulsalam, azuraliza abu bakar.  (2012).  a cluster-based deviation detection task using the artificial bee colony (abc) algorithm.  - international journal of soft computing.  7(2):71-78. 

siti sakira kamaruddin, abdul razak hamdan, azuraliza abu bakar, fauzias mohd nor.  (2012).  deviation detection in text using conceptual graph interchange format and error tolerance dissimilarity function.  - intelligent data analysis.  16:487-511. 

shuzlina abdul rahman, azuraliza abu bakar, zeti azura mohamed hussein.  (2012).  an intelligent data pre-processing of complex datasets.  - intelligent data analysis.  16:305-325. 

othman, z., bakar, a.a., abdullah, s., zakree, m., nazri, a., sengalang, n.a..  (2012).  dynamic tabu search for dimensionality reduction in rough set.  - wseas transactions on computers.  11(4):89-100. 

leila ooshaksaraie, noor ezlin ahmad basri, azuraliza abu bakar, khairul nizam abdul maulud.  (2012).  rp3ca: an expert system applied in stormwater management plan for construction sites in malaysia.  - expert systems with applications.  39(3):3692-3701. 

mohd zakree ahmad nazri , siti mariyam shamsuddin, azuraliza abu bakar dan salwani abdullah.  (2011).  a hybrid approach for learning concept hierarchy from malay text using artificial immune network.  - natural computing : an international journal. volume 10, issue 1 (2011), page 275.  11047-010-9. 

a.a. bakar, z.a. othman, a.r. hamdan, r.yusof, r. ismail.  (2011).  an agent model for rough classifiers.  - applied soft computing.  11:2239-2245. 

shaari f., bakar a.a., hamdan a.r..  (2009).  outlier detection based on rough sets theory.  - intelligent data analysis.  13(2):191-206. 

ooshaksaraie l., basri n.e.a., bakar a.a., maulud k.n.a..  (2009).  erosion and sediment control plans to minimize impacts of housing construction activities on water resources in malaysia.  - european journal of scientific research.  33(3):461-470. 

ooshaksaraie l., basri n.e.a., bakar a.a., maulud k.n.a..  (2009).  an expert system prototype for minimizing soil erosion on construction site in malaysia.  - european journal of scientific research.  33(3):454-460. 

f. shaari, a. a. bakar & a. r. hamdan.  (2008).  fast outlier detection using rough sets theory.  - wit transaction on information and communication technologies.  40:25-34. 

yun-huoy choo, azuraliza abu bakar and abdul razak hamdan.  (2008).  the fitness-rough: a new attribute reduction method based on statistical and rough set theory.  - intelligent data analysis.  12(1):73-87.