ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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The International Arab Journal of Information Technology
(IAJIT)
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Statistics
Analyzing Sentiments using Optimized Novel Ensemble Fuzzy and DL based Approach with Efficient Feature Selection and Extraction Models
Potu Bharath,Dasari Venkata Lakshmi
#Sentiment analysis
#deep convolutional fuzzy neural network
#multilayer stacked bidirectional LSTM neural network inception-ResNet-V2
#enhanced reptile search algorithm
#Al-Biruni earth radius optimization algorithm
Improvised Software Code Comprehension Using Data Mining
Ram Gopal Gupta,Ankur Dumka,Bireshwar Dass Mazumdar
#Software code comprehension
#code mining
#software maintainability
#association
#classification
#correlation
#coupling
#cohesion
Heart Disease Diagnosis Using Decision Trees with Feature Selection Method
Alaa Sheta,Walaa El-Ashmawi,Abdelkarim Baareh
#Machine learning
#classification
#decision tree
#heart disease
#diagnosis
Smart City Application: Internet of Things (IoT) Technologies Based Smart Waste Collection Using Data Mining Approach and Ant Colony Optimization
Zeki Oralhan,Burcu Oralhan,Yavuz Yiğit
#Ant colony optimization
#data mining
#IoT smart device
#smart city
#smart waste management
An Effective Reference-Point-Set (RPS) Based Bi-Directional Frequent Itemset Generation
Ambily Balaram,Nedunchezhian Raju
#Reference point
#reference-point-set
#transactional buckets
#sparse region
#dense region
Effects of Using Arabic Web Pages in Building Rank Estimation Algorithm for Google Search Engine Results Page
Mohamed Almadhoun,Nurul Malim
#Web data mining
#search engine optimization
#search engine results pages
#rank estimation
#scrap search engine
#machine learning
#digital marketing
An Efficient Approach for Mining Frequent Item
1Division of Data Science, Ton Duc Thang University, Vietnam 2Faculty of Information Technology, Ton Duc Thang University, Vietnam 3Faculty of Technology, Pacific Ocean University, Vietnam 4Department of Computer Science and Information Engineering,
#Data mining
# frequent item sets
# incremental mining
# pre-large item sets
# item set-tidset tree
93
Abdullah Aljumah and Mohammad Siddiqui
#
Using Ontologies for Extracting Differences in the
Laboratory for Electronic Document Management LABGE D, Badji Mokhtar University, Algeria
#
#Clustering
# data mining
# dispersion
# multiple datab ases
# stability
Li Junkui and Wang Yuanzhen
# Data mining
# time series
# similarity search
# dynami c time warping
# early abandon
2009 Filtering Spam E-Mail from Mixed Arabic and
Alaa El-Halees
#Anti-spam filtering
# machine learning techniques
# text data mining
Sotiris Kotsiantis
# Naive Bayes classifier
# data mining
# machine learni ng
A MMDBM Classifier with CPU and CUDA GPU
1Department of Mathematics, Anna University, India 2Department of Mathematics, Indian Institute of Technology, India
#Classification
# Data Mining
# CUDA
# GPUs
# Decision tree
# Quick sort
# Radix sort
Weighted Delta Factor Cluster Ensemble Algorithm for Categorical Data Clustering in Data Mining
robustness, stability and the quality of individual clustering systems, it is intensely observed that this approach in most cases
#Clustering
# cluster ensembles
# consensus function
# data mining
# refined matrix
# similitude measures
A Decision Support System Using Demographic Issues: A Case Study in Turkey
Abstract: The demographic distribution of people by cities is an important parameter to address the people’s behaviour. To
#Agglomerative clustering
# customer behaviour
# data mining
# decision support
Mining Consumer Knowledge from Shopping Experience: TV Shopping Industry
meanwhile, they are more and more accustomed to buy goods via TV shopping channel. Even in recession, it is thriving and
#Consumer knowledge
# data mining
# TV shopping
# association rules
# clustering
Using Data Mining for Predicting Cultivable Uncultivated Regions in the Middle East
large areas, while agricultural lands are described as small areas of arable land under perennial grass pastures or crops. In
#Data mining
# image processing
# GIS
# prediction
# wheat
# alfalfa
Maximum Spanning Tree Based Redundancy Elimination for Feature Selection of High
Department of Information Technology, Indian Institute of Information Technology-Allahabad, India
#Data mining
# feature selection
# tree based approaches
# maximum spanning tree
# high dimensional data
Comparison of Dimension Reduction Techniques
Abstract: High dimensional data becomes very common with the rapid growth of data that has been stored in databases or
#High dimensional data
# clustering
# dimensionality reduction
# data mining
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