The International Arab Journal of Information Technology (IAJIT)

Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

Event Extraction from Classical Arabic Texts

Abstract: Event  extraction  is  one  of  the  most  useful  and  chal lenging  Information  Extraction  (IE)  tasks  that  can be  used  in 
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Yassine Benajiba2, Mona Diab2, and Paolo Rosso1 1Natural Language Engineering Laboratory, ELiRF, Uni versidad Politécnica Valencia, Spain

Baraa Sharef 1, 3, Nazlia Omar1, and Zeyad Sharef 2

An Approach for Instance Based Schema Matching

Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia

Machine Learning based Intelligent Framework for Data Preprocessing

Abstract: Data preprocessing having a pivotal role in data mining ensures reduction in cost by catering inconsistent,

An Effective Sample Preparation Method for Diabetes Prediction

Abstract: Diabetes is a chronic disorder caused by metabolic malfunction in carbohydrate metabolism and it has become a

Intelligent Human Resource Information System (i- HRIS): A Holistic Decision Support Framework for

1Department of Administrative Studies and Politics, University of Malaya, Malaysia 2Department of Applied Statistics, University of Malaya, Malaysia 3Department of Educational Management, Planning and Policy, University of Malaya, Malaysia