
Kalaiselvi K DrSaveetha College of Liberal Arts and Sciences · Computer Science
Kalaiselvi K Dr
M.SC.,M.Phil.,PhD
About
63
Publications
7,188
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Introduction
Dr. K. Kalaiselvi, presently works in the Department of Computer Applications , Saveetha Institute of Medical, Technical and Sciences - Deemed to b University.
Kalaiselvi does research in Information Science, Artificial Neural Network and Artificial Intelligence. Their current project is 'High dimensional data'.
Additional affiliations
Education
January 2008 - November 2013
Publications
Publications (63)
The advent of the “curse of dimensionality” issue while dealing with medical data as a result of large reduced datasets weakens the power of learning algorithms and requires expensive memory and processing expenses. Feature selection helps improve the performance of machine learning algorithms by decreasing the time it takes to create a learning mo...
The Internet of Things (IoT) is the development production of computer science and communication technology. In recent years, with the development of computer science, communication technology, and perception recognition technology, the network of things has made a great breakthrough. As IoT is broadly used in many fields, the security of IoT is be...
The recent period of image gathering process cannot be manipulated effectively on the system because of huge set of images and due to the high expenditure costs for the algorithms used to process on the recent images. Therefore, the processing of an image needs the help of distributed computing concepts. The subject named distributed computing is c...
Microarray or gene expression profiling is conducted in a single experiment with different types of cells or tissue samples to evaluate and compare the extent of gene expression. The role of classifying the sample in question is more promising as the microarray dataset is disrupted due to the dimensional component, with a limited number of samples...
In the recent era, usage of mobile device is increasing rapidly. People are enjoying the services provided in the mobile device and mobile applications. Cloud services can incredibly upgrade the computing capability of portable gadgets so the mobile applications are depending on the cloud to provide the operation like machine learning algorithms of...
Today’s most significant healthcare problem that is prevailing is the chronic kidney disease (CKD). The disease integrates well-defined patho-physiological process that will be experimental for determining irregular kidney functions and the glomerular filtration rates. To forecast the disease, different data mining techniques are used to discover t...
Most pandemic burdens, for instance, genuine extreme respiratory conditions, pandemic flu start in animals, are invited on utilizing contaminations and are pushed to ascend by strategies for ecological, direct, or budgetary changes. In this, how mechanical and self‐proceeding with structures and quick wearable enhancement and help social protection...
Artificial intelligence (AI) is a technical mix, and machine learning (ML) is one of the most important techniques in highly personalized marketing. AI ML presupposes that the system is re-assessed and the data is reassessed without human intervention. It is all about shifting. Just as AI means, for every possible action/reaction, that a human prog...
The potential Internet of Things (IoT) will have a profoundly prudent business and social impact on our lives. A hub of interest in IoT systems is typically an asset obligation, which makes them focus on digital assault baiting. In this way, broad attempts have been devoted to identifying security and safety difficulties in trendy IoT, primarily th...
Healthcare is perhaps one of the most important therapy fields of the new age. Health policy should use a vast variety of analytical knowledge to collect data and measurements of difficulty. It should be beneficial and able to predict patient well-being by evaluating diet, medical history, and social behavior. Hours is a broad health network. Good...
Cloud Computing pattern is becoming more and more trendy, due to the enormous decrease in the time, cost, and effort to conversation software program development needs. A knowledge management approach is highly utilized in enterprises in appliances such as intelligence methods, employment authority, supercomputer learning, in the public domain, pro...
Python is an easy to learn programming language and it more important powerful programming language
Cloud Computing is becoming most popular storage technology in recent years. It has also become the most needed technology for IT industry. The cloud networks are at a rapid pace due to the benefits like cost-effectiveness, scalability, reliability and flexibility. At the same time, security is the major challenge for cloud technology which has to...
Presently, with the emerging increased data accumulation across the world in the variety of images and videos, the development of cloud computing and big data applications has paved the need for new image processing methods with the purpose of exploiting the processed image for diverse applications. There arises a need for new image processing meth...
Each day many databases are stored with huge amount of information which is extracted from various sources. Most of the sources are produced from the modern electronic devices and the devices which build up the Internet and helps in cloud computing. The data which are generated need to be organized according to various needs which need efforts beyo...
The proposed model uses Content Management System which allows user to share and communicate information under any platform. Based on the interest of the student the content can be created and shared inside the platform which works dynamically for providing the data to the end user. Student generated content provides a new way of understanding for...
Hypothyroidism can influence the heart and circulatory framework in various manners. Inadequate thyroid hormone eases back the pulse. With the goal of forecasting hypothyroid, by utilizing thyroid measures turns out to be high intricacy in order of Hypothyroid and Hyperthyroid. Some of the common clinically most relevant findings explaining hyperth...
A Handbook on Intelligent Healthcare analytics covers both the theory and application of tools, techniques, algorithms for the use of big data in healthcare and clinical research. The book provides the most recent research findings to derive knowledge using big data analytics which helps to analyse huge amounts of real-time healthcare data. The ana...
Machine learning is once a computer system has been trained to identify patterns by provided it with information and a set of rules to help recognize that data. We demand the process of knowledge ‘training’ and the output that this method produces is called a ‘model’. The possible of ML in this area is meaningfully from top to bottom meanwhile it d...
Currently healthcare domain relies more on computer technology. Medical diagnosis is an important task of intelligent systems. Machine learning systems are used to find the abnormalities at an early stage of disease diagnosis. Optimal and accurate diagnosis is a critical factor for identifying appropriate treatment. This chapter deals with the impo...
The coexistence of technologies, like big data application, cloud computing, and the numerous images in the Web has paved the need for new image processing algorithms that exploit the processed image for diverse applications. There arises a need for new image processing algorithms to utilize the processed image for diverse applications though many...
Secrecy communication is promising particularly for wireless systems due to the transmission environment of the radio path, which is simply interrupted. Wireless security methods have classically improved for conventional wireline applications, and these techniques are not assumed substantial properties of the wireless channels. To overcome these p...
Development in the data mining approaches promotes the researches over the classification of features in the provided dataset. The applications like student performance evaluation plays important role in measuring efficiency of the instructors in the educational institution. Student evaluation feedback database, analyze the performance of the instr...
Initial prediction and appropriate medication are the ways to cure Chronic Kidney Disease (CKD) in the early stage of progression. The rate of accuracy in the classification algorithms focuses on the usage of exact algorithms used to select he features in order to minimize the dataset dimensions. The accuracy not only relies on the feature selectio...
Wireless Body Area Networks (WBANs) plays a key role in monitoring patient-health in order to gain a remarkable interest among the researchers. A WBAN consists of devices which are both small and fixed in the human body or kept as a device which can be easily carried by a person externally. The patient health can be observed and monitored consisten...
In the recent work, Incremental Soft Subspace Based Semi-Supervised Ensemble Clustering (IS4EC) framework was proposed which helps in detecting clusters in the dataset. IS4EC framework also increases the results of clustering by reducing the intra-cluster distance and increasing the inter-cluster distance with increased cluster quality. It cannot a...
Women are an equal soul of men by comprises men in her name itself but really they are treated equal among men. There is a broad gap in between past and present centuries. Women are treated poorly on past centuries by getting huge works, asking more dowries and even killing female infant but in present century these has been reduced and crimes are...
Cloud computing providing confidentiality over the insensitive data was the major issue related to security. It verifies the data owned by the server through linear computations. The proposed work enables security and efficiency using the cryptographic techniques of hybrid algorithms, securing the sensitive information that is present in the cloud....
The healthcare sector is a broad area with the abundance of patient information, which creates enormously large records day by day. Though the scientific industry is rich in information but it is poor in knowledge. Diabetics are considered as a primary health issue of the world. As per the WHO 2014 survey According to WHO 2014 report, over 422 mill...
High-dimensional data is explained by a huge quantity of features, introduces new issues to clustering. The so-named 'high dimensionality', creates initially to explain the common increase in time complexity of several computational issues, so the performances of the general clustering algorithms are unsuccessful. Accordingly, several works have be...
The arrival of information and communication technology is increasing due to growth of World Wide Web. Predicting the instructor’s performance using the teaching style and their student’s profile is a challenging issue in the education field. Several studies have been conducted to improve the student’s quality by following dynamic contents. Ant Col...
WBAN (Wireless Body Area Network) is one of the prominent network models which can be either wearable or can beoperated remotely. WSN (Wireless Sensor Network) are combined to form architecture in WBAN. WSN is made up ofmultiple sensors that are evenly dispersed. The lifetime of the sensor node is determined by energy efficiency which is themain de...
With the huge amount of information available, the analysis over the data is the fertile area of knowledge mining research. Knowledge mining is the recent hot and promising research area. Knowledge mining is defined as the process of obtaining relevant knowledge from the pool of resources. In this review paper, we surveyed about the prior works car...
In recent years, knowledge mining has become one of the effective tools for data analysis and information management systems. Educational sector is the recent research endeavors that make use of data mining algorithms. Prior works carried in data mining algorithms like J48 Decision Tree, Multilayer Perception, Naïve Bayes, and Sequential Minimal Op...
In current scenario, security level for an individual lies on a question mark.To overcome all situations based on safety. To provide a proper link to access things near us following header are used, they are GPS, GSM and GPRS. These systems help to track people on an individual basis which prevents the risk of kidnapping and other crimes happen to...
Kidney Disease and kidney failure is the one of the complicated and challenging health issues regarding human health. Without having any symptoms few diseases are detected in later stages which results in dialysis. Advanced excavating technologies can always give various possibilities to deal with the situation by determining important realations a...
Diabetes is the one of the major disease for all types of age group. Two major factors are to increase the diabetes and growing incidence at child or younger aged people and even born babies this is because of obesity and legacy of diabetes. The main aim of this paper is to predict the diabetes for the age less than 25 years. This pared a way to pr...
Kidney Disease and kidney failure is the one of the complicated and challenging health issues regarding human health. Without having any symptoms few diseases are detected in later stages which results in dialysis. Advanced excavating technologies can always give various possibilities to deal with the situation by determining important realations a...
This paper investigates a knowledge management system (KMS) which can be supported smart learning. These systems working based on ubiquitous computing environment using a knowledge engineering approach. A knowledge management system (KMS) is the system that supports the creation, transferring and dissemination of knowledge to workers within an orga...
In Evolutionary algorithms like cultural algorithm an additional mechanism for extraction of information during execution of the algorithm is implemented. Thus it eliminates the need to encode the information. This review work discuss applications of Cultural algorithm particularly regarding multi objective optimization. It also analysis about the...
The main objective of this proposed work is to prove that knowledge dissemination can be better done through concept lattice. The database management system learning content is stored in the formal concept analysis (FCA). The formal concept analysis helps to construct the concepts together through which the information drawn quickly. The concepts a...
The main objective of the following contribution is to categorize knowledge and to provide right knowledge to the right user. The Categorization of knowledge is done using Lesson Learned System (LLS) framework. This model was derived by mapping the Nonaka's Model with the Lesson learned process. Lesson learned process which was adapted from Weber....
The paper describes incorporation of Knowledge Management with the Ubiquitous Computing Environment. The development of wireless communication and technologies paved the way for the Ubiquitous Computing in Educational domain. In the Ubiquitous Computing Environment, knowledge can be shared as collaborative learning among the learners. Sharing compr...