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

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics

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

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics

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

#Arabic natural language processing # classification # information extraction # named entity recognition

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

#Arabic TC # FRAM # automatic TC # text classification

An Efficient Traffic Forecasting System Based on Spatial Data and Decision Trees

# Traffic flow # traffic prediction # spatial data min ing # spatial data base # see5

An Approach for Instance Based Schema Matching

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

#Schema matching # instance based schema matching # Google similarity # regular expression

Features

#Port identification # deep packet inspection # netflow flow # machine learning

Development of a Hindi Named Entity Recognition System without Using Manually Annotated

Abstract: Machine learning based approach for Named Entity Recognition (NER) requires sufficient annotated corpus to

#Natural language processing # machine learning # named entity recognition # resource scarcity # language transfer # semi-supervised learning

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,

#Machine learning # hidden markov model # conditional random fields # preprocessing

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

#Diabetes # clustering # classification # K-means # SVM # sample preparation

Hybrid Support Vector Machine based Feature Selection Method for Text Classification

However, high dimensionality is a considerable impediment observed in the text classification field in spite of the fact that

#Feature ranking # text classification # feature selection # SVM-based weighting # hybridization # dimensionality reduction

Fall Motion Detection with Fall Severity Level Estimation by Mining Kinect 3D Data Stream

motion detection, a continuous stream of data representing time sequential frames of fifteen body joint positions was obtained

#Kinect 3D data stream # fall motion detection # fall severity level estimation # machine learning # smart home system

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

#HRIS # KDD # DSS # framework