Review of Agile SDLC for Big Data Analytics Systems in the Context of Small Organizations Using Scrum-XP

Gerardo Salazar-Salazar,Manuel Mora,Hector Duran-Limon,Francisco Alvarez-Rodriguez,Angel Munoz-Zavala

#Big data analytics systems #agile system development life cycle #Scrum-XP #CRISP-DM #TDSP and DDSL #small business

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

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Abdullah Aljumah and Mohammad Siddiqui

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Using Ontologies for Extracting Differences in the

Laboratory for Electronic Document Management LABGE D, Badji Mokhtar University, Algeria

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#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