T. Velmurugan
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View article: Performance Analysis of K-Means and Fuzzy C-Means (FCM) Clustering Algorithms for Diabetic Dataset
Performance Analysis of K-Means and Fuzzy C-Means (FCM) Clustering Algorithms for Diabetic Dataset Open
In the contemporary era, with its incidence rising at an alarming rate, diabetes has become a major global health concern. This work presents a data mining approach that compares the K-Means and Fuzzy C-Means (FCM) clustering algorithms to…
View article: Analysing Domain-Specific Sentiments in Healthcare: SentiWordNet Adjusted Vader Sentiment Analysis (SAVSA)
Analysing Domain-Specific Sentiments in Healthcare: SentiWordNet Adjusted Vader Sentiment Analysis (SAVSA) Open
Sentiment analysis, the process of understanding people's emotions and opinions in the digital age, holds significant importance for both content creators and consumers in the era of abundant online content. However, accurately gaugin…
View article: Emotion Deduction from Social Media Text Data Using Machine Learning Algorithm
Emotion Deduction from Social Media Text Data Using Machine Learning Algorithm Open
Emotion represents the feeling of an individual in a given situation. There are various ways to express the emotions of an individual. It can be categorized into verbal expressions, written expressions, facial expressions and gestures. Amo…
View article: Optimizing Facial Expression Recognition through Effective Preprocessing Techniques
Optimizing Facial Expression Recognition through Effective Preprocessing Techniques Open
Analyzing human facial expressions using machine vision systems is indeed a challenging yet fascinating problem in the field of computer vision and artificial intelligence. Facial expressions are a primary means through which humans convey…
View article: A Novel Ensemble Stacking Learning Algorithm for Parkinson’s Disease Prediction
A Novel Ensemble Stacking Learning Algorithm for Parkinson’s Disease Prediction Open
Parkinson’s disease (PD) is a central sensory system illness that causes tremors and impairs mobility. Unfortunately, the identification of PD in the early stage is a challenging task. According to earlier studies, around 90 percent of per…
View article: Classifying Heart Disease in Medical Data Using Deep Learning Methods
Classifying Heart Disease in Medical Data Using Deep Learning Methods Open
Recent days, heart ailments assume a fundamental role in the world. The physician gives different name for heart disease, for example, cardiovascular failure, heart failure and so on. Among the automated techniques to discover the coronary…
View article: Security based Approach of SHA 384 and SHA 512 Algorithms in Cloud Environment
Security based Approach of SHA 384 and SHA 512 Algorithms in Cloud Environment Open
Cloud computing is going to be the next big thing in the era of internet world. As the world moves ahead towards enhancement of the cloud features we also have to take a serious consideration of the enhancing cloud securities to protect th…
View article: Predicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term Memory
Predicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term Memory Open
Predictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the major attributes for prediction is tim…
View article: Impact of Customer Feedback System using Machine Learning Algorithms for Sentiment Mining
Impact of Customer Feedback System using Machine Learning Algorithms for Sentiment Mining Open
The process of discovering and analyzing the customer feedback using Natural Language Processing (NLP) is said to be sentiment analysis. Based on the surge over the concept of rating level in sentiment analysis, sentiment is utilized as an…
View article: Preprocessing the Groundwater Quality data by LSR and QDR techniques
Preprocessing the Groundwater Quality data by LSR and QDR techniques Open
Data mining is the process of identifying patterns and their relationships to solve problems through data analysis. Data mining is utilized to haul out working information from a colossal dataset of any crude information. Environmental min…
View article: Direct-Indirect Association Rule Mining for Online Shopping Customer Data using Natural Language Processing
Direct-Indirect Association Rule Mining for Online Shopping Customer Data using Natural Language Processing Open
In recent days, all kinds of service based companies and business organization needs customer feedback. Nowadays, many customers share their opinion by online about the products or services which become a process of decision making from cu…
View article: Quality Based Analysis of Clustering Algorithms using Diabetes Data for the Prediction of Disease
Quality Based Analysis of Clustering Algorithms using Diabetes Data for the Prediction of Disease Open
Clustering is the popular fundamental investigative performance analysis technique commonly used in various applications. The majority of the clustering techniques proved their effectiveness in finding lot of solutions for a variety of dat…
View article: Prediction of Heart Disease using Name Entity Recognition based on Back Propagation and Whale Optimization Algorithms
Prediction of Heart Disease using Name Entity Recognition based on Back Propagation and Whale Optimization Algorithms Open
Objectives/Backgrounds: Nowadays, heart diseases play a very big role in the universe. The Physicians in practice gives various names for heart diseases such as heart attack, cardiac attack, cardiac arrest etc. Among the computerized metho…
View article: Ascertaining Abnormal Regions in Mammogram Images using Gravitational Search Local Map View Technique
Ascertaining Abnormal Regions in Mammogram Images using Gravitational Search Local Map View Technique Open
Segmentation of mammogram images has gained importance in many medical treatments and diagnostic processes. Mammogram image segmentation aims at correctly separating different tissues, organs, or pathologies in volumetric image data. Most …
View article: A Comprehensive Analysis of Simulated results for the Performance of AODV and TORA Routing Protocols in Mobile Ad-hoc Networks
A Comprehensive Analysis of Simulated results for the Performance of AODV and TORA Routing Protocols in Mobile Ad-hoc Networks Open
A Mobile Ad-Hoc Network (MANET) is underpinning less system of movable devices connected by wireless links. Every device in MANET moves arbitrarily on any path with no impediments and this free movement helps in transforming its links to n…
View article: A Hybrid Multifarious Clustering Algorithm for the Analysis of Memmogram Images
A Hybrid Multifarious Clustering Algorithm for the Analysis of Memmogram Images Open
A number of clustering algorithms were used to analyze many databases in the field of image clustering. The main objective of this research work was to perform a comparative analysis of the two of the existing partitions based clustering a…
View article: Evaluation of Named Entity Recognition Algorithms Using Clinical Text Data
Evaluation of Named Entity Recognition Algorithms Using Clinical Text Data Open
Named Entity Recognition (NER) is one of the most important research areas in the field of medical. Presently, most of the clinical NER research is based on two approaches as Knowledge Engineering (KE) and Machine Learning (ML). KE is used…
View article: Analyzing student performance using evolutionary artificial neural network algorithm
Analyzing student performance using evolutionary artificial neural network algorithm Open
Educational Data Mining (EDM) and Learning Systematic (LS) research have appeared as motivating areas of research, which are clarifying beneficial understanding from educational databases for many purposes such as predicting student’s succ…
View article: Lung cancer detection and classification on CT scan images using enhanced artificial bee colony optimization
Lung cancer detection and classification on CT scan images using enhanced artificial bee colony optimization Open
In recent years, prediction of cancer at earlier stages is obligatory to increase the chance of survival of the afflicted. The most dreadful type is lung cancer, which is identified as one of the most common diseases among humans worldwide…
View article: Clustering Techniques on Brain MRI
Clustering Techniques on Brain MRI Open
In radiology Photostat of the human's anatomy and the corporeal parts on health and disease can be obtained by Magnetic resonance imaging technique. In the aspect of Brain, Segmentation is the technique in Magnetic Resonance Imaging, which…
View article: A State of Art Analysis of Telecommunication Data by k-Means and k-Medoids Clustering Algorithms
A State of Art Analysis of Telecommunication Data by k-Means and k-Medoids Clustering Algorithms Open
Cluster analysis is one of the major data analysis methods widely used for many practical applications in emerging areas of data mining. A good clustering method will produce high quality clusters with high intra-cluster similarity and low…
View article: Efficiency of Fuzzy C Means algorithm for Brain Tumor segmentation in MR Brain Images
Efficiency of Fuzzy C Means algorithm for Brain Tumor segmentation in MR Brain Images Open
Background and Objective: Image processing is a technique or set of operations to get meaningful information from an image for the usefulness and effectiveness of images.Image segmentation is an efficient technique in extracting and separa…
View article: Analyzing Diabetic Data using Classification Algorithms in Data Mining
Analyzing Diabetic Data using Classification Algorithms in Data Mining Open
Backgrounds/Objectives: Huge medical datasets available in various data repositories which are used for real world applications. To visualize the useful information stored in data warehouses, the Data Mining (DM) methods are enormously uti…
View article: Empirical Study of Feature Selection Methods for High Dimensional Data
Empirical Study of Feature Selection Methods for High Dimensional Data Open
Background/Objectives: Feature Selection is a process of selecting features that are relevant which is used in model construction by removing redundant, irrelevant and noisy data. A typical application of Text Mining is classification of …
View article: Extraction of Cancer Affected Regions in Mammogram Images by Clustering and Classification Algorithms
Extraction of Cancer Affected Regions in Mammogram Images by Clustering and Classification Algorithms Open
Objectives/Backgrounds: The breast cancer has increased significantly in the last few years. It is one type of cancer and is the second deadliest disease in the world wide. Recently, cancer is diagnosed by various test such as mammography,…
View article: Identification of Calcification in MRI Brain Images by k-Means Algorithm
Identification of Calcification in MRI Brain Images by k-Means Algorithm Open
Background/Objective: The role of clustering is significant to analyze different kind of applications of its techniques. Similardata are groupedinto one andthey formedas a cluster.Dissimilardata are groupedinto another forminother cluster.…
View article: A Survey on the Analysis of Segmentation Techniques in Mammogram Images
A Survey on the Analysis of Segmentation Techniques in Mammogram Images Open
Background/Objectives: Images are the most effective way of revealinginformation to the world. Images are analysed and processed by computerized techniquesto extract hidden information available in it. Innumerable techniques are available …
View article: Detection of Brain Tumor by Particle Swarm Optimization using Image Segmentation
Detection of Brain Tumor by Particle Swarm Optimization using Image Segmentation Open
Background/Objectives: Image segmentation is one of the fundamental techniques in image processing. During past few years, the image processing mechanisms are extensively used in various medical fields for early stage detection, separation…