Improvement of Translation Accuracy for the Word Sense Disambiguation System using Novel Classifier Approach

Ajith Abraham,Bineet Kumar Gupta,Satya Bhushan Verma,Archana Sachindeo Maurya,Mohammad Husain,Arshad Ali,Sami Alshmrany,Sanjay Gupta

#Bayes theorem #machine learning #machine translation #naïve bayes classification #supervised approach #unsupervised approach #and word sense disambiguation

A Framework for Saudi Uniform Gait Recognition Based on Kinect Skeletal Tracking

Jawad H. Alkhateeb,Ehsan Owaidah,Aiman Turani,Rashiq Marie,Aladdein Amro,Ahmad A. Mazhar

#Biometric system #gait recognition #kinect sensor #KNN

A Framework for Saudi Uniform Gait Recognition Based on Kinect Skeletal Tracking

Jawad H. Alkhateeb,Aiman Turani,Rashiq Marie,Aladdein Amro,Ahmad A. Mazhar

#Biometric system #gait recognition #kinect sensor #KNN

Tracking Recurring Concepts from Evolving Data Streams using Ensemble Method

Yange Sun1,2, Zhihai Wang2, Jidong Yuan2, and Wei Zhang2 1School of Computer and Information Technology, Xinyang Normal University, China 2School of Computer and Information Technology, Beijing Jiaotong University, China

#Data streams # ensemble classification # change detection # recurring concept # Jensen-Shannon divergence

Intrusion Detection System using Fuzzy Rough Set Feature Selection and Modified KNN Classifier

Balakrishnan Senthilnayaki1, Krishnan Venkatalakshmi2, and Arpputharaj Kannan1 1Department of Information Science and Technology, College of Engineering, Anna University, Chennai 2Departemnt of Electronics and Communication Engineering, University College of Engineering

#Rough set # fuzzy set # feature selection # classifications and intrusion detection

Enhanced Bagging (eBagging): A Novel Approach for Ensemble Learning

Goksu Tuysuzoglu1 and Derya Birant2 1Graduate School of Natural and Applied Sciences, Dokuz Eylul University, Turkey 2Department of Computer Engineering, Dokuz Eylul University, Turkey

#Bagging # boosting # classification algorithms # machine learning # random forest # supervised learning

Headnote Prediction Using Machine Learning Sarmad Mahar1, Sahar Zafar2, and Kamran Nishat1 1CoCIS, PAF-Karachi Institute of Economics and Technology, Pakistan 2Computer Science, Sindh Madressatul Islam University, Pakistan

Abstract: Headnotes are the precise explanation and summary of legal points in an issued judgment. Law journals hire

#Judgment summary # head-note prediction # machine learning # text summarization

An Additive Sparse Logistic Regularization Method for Cancer Classification in Microarray Data

Vijay Suresh Gollamandala,Lavanya Kampa

#Microarray data #sparse regularization #feature selection #logistic regression #and lasso

Text Mining Approaches for Dependent Bug Report Assembly and Severity Prediction

Bancha Luaphol, Jantima Polpinij, Manasawee Kaenampornpan

#Bug report # dependent bug report assembly # bug severity prediction # threshold-based similarity analysis # cosine similarity # BM25 # term weighting # classification algorithm

MiNB: Minority Sensitive Na ve Bayesian Algorithm for Multi-Class Classification of

Unbalanced Data, Harikrishna Jethva

#Imbalanced data learning # weighted naïve bayesian # cost-sensitive learning # multi-class unbalanced data

Assesing the Stability and Selection Performance of Feature Selection Methods Under Different Data Complexity

Omaimah Al Hosni,Andrew Starkey

#Stability of feature selection #class overlapping #data characteristics #complex data

Analyzing the Behavior of Multiple Dimensionality Reduction Algorithms to Obtain Better Accuracy using Benchmark KDD CUP Dataset

Suriya Prakash Jambunathan,Suguna Ramadass,Palanivel Rajan Selva kumaran

#Intrusion attacks #network #features #accuracy