Mamta Mittal

Delhi Skill and Entrepreneur University, New Delhi (Under Government of NCT Delhi) · Data Analytics and Data Science

Clustering is a way to partition the database in various groups. It is being used in data mining at a very large scale. There are different clustering methods but the focus in this paper is on partitioning based clustering. In literature many algorithm including k-Means are available that require prior information from the outside world about the n...

The innumerable clustering methods which exist today form the basis of Data Mining and Cluster Analysis. This paper details the distinct classifications of clustering methods, describes prominent examples for each such classification and aims to bring about the comparison between the primary clustering techniques which form the basis of all the oth...

Data mining is the process of extracting hidden, interesting, non-trivial, potentially useful and previously unknown information from large databases. Clustering is one of the data mining techniques that aims to separate dissimilar objects and group similar objects in the database. There are a number of clustering methods available in literature. I...

Clustering is a process of partitioning similar data into groups. For this, number of clustering algorithms have been proposed in literature. Some of them can also be used for the generation of Fuzzy Models. In this work, Sugeno fuzzy models being generated by Subtractive and FCM clustering have been discussed. Experiments have been performed on re...

Abstract: Background: Clustering is one of the data mining tools which classify the raw data reasonably into disjoint clusters. Researchers have developed many algorithms to cluster large data sets based on specific parameters. Objective: This study is centred around the popular partitioning-based technique, i.e., 𝑘-means. It requires the number of...

One common constraint in the practical application of speech recognition is Code Switching. The issue of code-switched languages is especially aggravated in the context of Indian languages - since most massively multilingual models are trained on corpora that are not representative of the diverse set of Indian languages. An associated constraint wi...

For the timely planning and management of water resources, prediction of evaporation is required to be estimated properly, especially in regions that are prone to drought and where evaporation directly affects the pest population. Changes in meteorological variables such as temperature, relative humidity, solar radiation, rainfall have a great impa...

The provision of adequate healthcare on board ships has always represented a challenge for medicine. In general, ships are at sea for days or weeks before they can reach a port and with the only exception of some large passenger or cruise ships, they do not carry health professionals on board. The maritime healthcare sector has expanded more quickl...

Understanding and comprehending humans' views, beliefs, attitudes, or opinions toward a particular entity is sentiment analysis (SA). Advancements in e‐commerce platforms has led to an abundance of the real‐time and free forms of opinions floating on social media platforms. This real‐world data are imprecise and vague hence fuzzy logic is required...

Brain-computer interface (BCI) technology is a topic of study with assistive robot systems that are expanding significantly nowadays. Several advancements have been made in the BCI sector to aid disabled people. However, most studies have used more electrodes, and most design structures are different from the anatomy of the human hand. To control r...

Hypertensive retinopathy is a disorder that causes hypertension which includes abnormalities in the retina that triggers vision problems. An active automated identification and categorizing of the hypertensive retinopathy would be extremely beneficial in the health system. The hypertensive cases will help to predict the cardiovascular diseases, and...

Disease prediction is very much important as well as crucial for the patients and also for health informatics. If the disease is detected early, then it is easy for the medical practitioners to treat early and assists them in taking more functional and preventive steps. Feature selection (FS) is being taken as a preprocessing step used to eradicate...

Machine learning (ML) techniques are used as predictive models for many applications including those in the field of biomedicine. These techniques have shown impressive results across a variety of domains in biomedical engineering research. Biology and medicine are data-rich disciplines, but the data are complex and often not properly understood. M...

Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a str...

Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a str...

Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a str...

Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a str...

Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a str...

Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a str...

Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a str...

Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a str...

Sentiment analysis is used to detect the opinion/sentiment expressed from the unstructured text. Most of the existing state-of-the-art methods are based on supervised learning, and therefore, a labelled dataset is required to build the model, and it is very difficult task to obtain a labelled dataset for every domain. Cross-domain sentiment analysi...

Nowadays, individuals and communities are benefiting from early recognition of stress. The American Psychological Association states that 75% of individuals are suffering moderate to severe levels of stress. Traditional stress detection methods rely on physiological signals, which are contact-based and require sensors to be in close proximity to hu...

Recently, the population density in cities has increased at a higher pace. According to the United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global population in 2014. By 2050, around 5 billion people (68%) will be residing in cities. In order to make lifestyles in cities more comfortable and cost-effective, the c...

As the world progresses, technology plays an increasingly important role. This has resulted in a massive increase in work prospects for individuals all around the world. However, it also comes with a busy schedule that has a negative impact on people’s mental health. However, gathering data and manually going through it one by one, as well as treat...

As a new concept in urban development, smart cities are characterized primarily by their mobility. To solve these problems, it became necessary to develop an intelligent system. Using the Advanced Saliency Detection Method and an Efficient Features Extraction Model, the proposed work is aimed at detecting vacant outdoor parking lots. Experimental w...

In the past few decades, there have been many environmental changes that have lead to deteriorating air quality influenced by number of criteria pollutants and the prevailing climatic conditions. These pollutants lead to respiratory problems and other environmental effects such as acid rain, greenhouse effect etc. Therefore, quality prediction of a...

Substance consumption has been a global public health epidemic causing numerous disorders and fatalities. In order to curb at the initial onset of consumption, it is required to understand the patterns of consumption and substance-specific features so that targeted intervention strategies can be implemented. This article focuses on understanding su...

The enthusiasm for blockchain innovation has been expanding since the thought was authored in 2008. Blockchain refers to the system where records of transactions made in cryptocurrency are maintained. The reason behind the eagerness for blockchain is its key credits that give safety, ambiguity, and information uprightness with no third-party organi...

Some math’s expressions are challenging to type in the calculator. As of this, this paper presents the necessity of developing math scanners that integrated with optical character recognition (OCR) technology for solving mathematical equations quickly and help students to cross-check their solution. The mathematical equation scanner proposed in thi...

The uses of Internet of Things (IoT) devices and sensors have been increasing day by day. In order to provide storage and computational needs for time-sensitive applications low powered end devices which use IoT devices and sensors, a new computing paradigm “Fog Computing” has come into the picture. Virtual machines (VMs) inside the fog nodes are r...

Internet of Things (IoT) has been developed as a heterogeneous environment that contains network devices with limited resources. The application of IoT principles in the smart city domain creates new opportunities and requires diligent implementation mechanisms for optimal resource utilization. With time, the IoT applications tend to generate and f...

India’s elderly population, as per a government report, is set to rise by 41% over a decade (by 2031). Therefore, safeguarding and empowering senior citizens have been an important concern for which information and communication technology (ICT) has come up as a boon. Safeguarding involves ensuring people’s safety, protection from abuse and neglect...

One of the adverse effects of population growth and urbanization in developing countries is air pollution. Due to which more than 4.2 million deaths occur every year. Therefore, prediction of air quality is a subject worth in-depth research and has received substantial interest in the recent years from academic units and the government. Feature sel...

The banking industries are struggling with massive growth in the Non-Performing Assets (NPAs) that is raising the concerns of the financial institutions across the world. For gaining sustainable competitive advantages: detection, prediction, and prevention of credit Risks are becoming the foremost priorities for the banks. This data is vast, highly...

Cognitive computing is the use of computerized models to simulate the human thought process in complex situations where the answers may be ambiguous and uncertain. Using self-learning algorithms that use data mining, pattern recognition, and natural language processing, the computer can mimic the way the human brain works. So it can be incorporated...

Human detection and activity recognition is very important research area in the healthcare, video surveillance, pedestrian detection, intelligent vehicle system and home care center. Among the various human activity detection frameworks, the statistical based approach were most intensively studied and used in practice in which pattern recognition w...

Objectives Local hospitals are operated by the resigned association of patients as passive communication channels. The online hospital data related to the users’ queries are not transparent and reliable. Therefore, it is crucial to have an intelligent web chatbot that manages user requests and provides quick access to local hospital information. In...

One of the large and emerging technologies nowadays is blockchain which has the impending potential to renovate the approach of contributing the large amount of data and information along with that it is also boosting confidence among the users. The drastic expansion in data creates security, privacy with assurance issues in the period of the Inter...

Sentiment analysis is used to detect the opinion/sentiment expressed from the unstructured text. Most of the existing state-of-the-art methods are based on supervised learning, and therefore, a labelled dataset is required to build the model, and it is very difficult task to obtain a labelled dataset for every domain. Cross-domain sentiment analysi...

Meaningful and reliable data evaluation is mandatory in medical studies, also essential to doctors, healthcare staff, and other medical specialists during daily practice routine because of interaction with patient databases to generate reports and analyze trends. At the same time, it is of little use with large datasets without visualization as it...

Blockchain technology is managing ownership contracts. A private network (Ethereum) is used to prevent contracts from getting changed. The goal is to prevent illegal changes in the ownership contracts without any prior confirmation. Public–private key pair is used for any changes on the network. The user will broadcast the public key (which is encr...

COVID-19 is considered a type of pneumonia that can be effectively treated by vaccination. All national bodies have to step forward and take Singapore as an example in the provision of vaccine for frontline workers such as seafarers. On other hand, the International Maritime Organization also urges that maritime workers and seafarers have to obtain...

Objective: The plants’ diseases affect both the production and quality of food in the agriculture sector. Computer vision techniques can contribute significantly by detecting the plants diseases at very early stages with more accuracy. Method: In this work, we proposed an automated crop disease recognition system using partial least squares (PLS)...

Image segmentation is a key step in the image analysis, pattern recognition, low-level vision, medical data analysis, objects tracking, recognition task and grasping of things from the field of robotics. Being a problematic and demanding chore in image processing, it governs the eminence of absolute outcomes of image analysis. The method aims to im...

Skin cancer is one of the most common and dangerous cancer that exists worldwide. Malignant melanoma is one of the most dangerous skin cancer types has a high mortality rate. An estimated 196,060 melanoma cases will be diagnosed in 2020 in the USA. Many computerized techniques are presented in the past to diagnose skin lesions, but they are still f...

Diabetes is a dreadful disease identified by escalated levels of glucose in the blood. Machine learning algorithms help in identification and prediction of diabetes at an early stage. The main objective of this study is to predict diabetes mellitus with better accuracy using an ensemble of machine learning algorithms. The Pima Indians Diabetes data...

In recent times, image segmentation has been involving everywhere including disease diagnosis to autonomous vehicle driving. In computer vision, this image segmentation is one of the vital works and it is relatively complicated than other vision undertakings as it needs low-level spatial data. Especially, Deep Learning has impacted the field of seg...

The world of Industry 4.0 has been quarantined due to the outbreak of highly contagious coronavirus disease (COVID-19) which has been characterized as a pandemic by World Health Organization. Quarantine, which refers to strict isolation, helps to prevent the spread of the disease. However, the prediction and analysis of the impact of the quarantine...

The Covid-19 pandemic has entailed practice of social distancing. Spreading of infections amongst frontline health workers and further highly infectious nature of Covid-19 infection makes it even more important to avoid in-person consultations. In such clinical settings, there is high risk of patient to patient infections. This in-turn has accelera...

Objective Since December 2019, the COVID-19 pandemic has posed a substantial threat with its associated high mortality, infection, and risk of psychological stress. A large number of students are affected because of a prolonged break from academic activities and staying at home. The focus of this study is to understand the stress levels of Indian s...

Breast cancer positions as the most well-known threat and the main source of malignant growth-related morbidity and mortality throughout the world. It is apical of all new cancer incidences analyzed among females. Two features substantially influence the classification accuracy of malignancy and benignity in automated cancer diagnostics. These are...

Coefficient of consolidation in the soil is the significant engineering properties and an important parameter for designing and auditing of geo-technical structures. Therefore, in this study, authors have proposed an efficient methodology to prediction the coefficient of consolidation using machine learning models namely Multiple Linear Regression...

Air pollution is an acute problem which leads to detrimental effects on human health and living conditions. Therefore, there is a need to monitor the pollution levels to inform people about the status of current air quality. This is done by an index called Air Quality Index (AQI) that maps the concentration of various pollutants into single value....

Refining visibility through haze removal from image becomes an inevitable chore and essential to recognize and track vehicles, traffic signal, and signs clearly under road safety. That can face a recurrent degradation under destitute climatic circumstances for instance fog, rain, cloud, and smog. To diminish this constraint, various methods were de...

Nowadays, a large amount of valuable uncertain data is easily available in many real-life applications. Many industries and government organizations can exploit this data to extract valuable information. This information can help the managers to enhance their strategies and optimize their plans in making decisions. In fact, various private companie...

This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book conta...

Abstract: Twitter text is difficult to analyse due to the non-standard and unstructured data. Twitter does not accumulate user gender information as do other popular social media platforms. The demographic feature prediction and additional informative content are important for advertising, custom-made marketing and authorised investigation from the...

This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studie...

The focus of automobile industry is towards producing efficient driverless cars that are risk free and with zero tolerance to safety violations thereby following in the footsteps of autonomous robots. In this study, the author elaborates on the vulnerabilities relevant to internet of things technology implementation in these connected cars, commonl...

Human activity recognition (HAR) is a quintessence to empower a robot to distinguish the conduct of a personal care-receiver. As opposed to outward appearances, an activity recognition can see practices of a consideration beneficiary, who might be a senior adult, a youngster, or a chronic patient. Through HAR, a robot tracks the care patient activi...

Nowadays, renewable energy has been emerging as the major source of energy and is driven by its aggressive expansion and falling costs. Most of the renewable energy sources involve turbines and their operation and maintenance are vital and a difficult task. Condition monitoring and fault diagnosis have seen remarkable and revolutionary up-gradation...

Worldwide governments have decided to temporarily closures of educational institutions in an attempt to minimize the spread of the COVID-19 Pandemic, which has forged significant challenges for the education community. The present study is from the digital education scenario during the COVID-19 lockdown to find out the factors affecting online lear...