Manjunath T N

BMS Institute of Technology and Management

Big data applications are employed in a variety of industries, including academia, healthcare, marketing, industry, government, and public administration, among others, to address societal issues and progress society (Munshi and Alhindi in Big data platform for educational analytics, 2021). Big data in education has significant benefits since it ca...

In this digital era, internet users are increasing day by day to extract information related to various fields such as health, economic, educational, politics and daily needs from Information Retrieval Systems (IRS) such as Google, Ask, Yahoo etc. Information Retrieval (IR) is a conventional method which depends on metadata searching method that is...

In the contemporary information technology world, data engineering enacts a vital role in creating scenario-based test data for development and testing purposes and this is done through the cloning of the production data to generate real-time data for the said purposes. The data movement between the onsite and offshore sites for development and tes...

The variety of different appearance computing has modified over a segment of instance. It is changed as its commencement from objective to disseminated figure which facilitate one machine-to other machine communications. The novel methods move toward is called as internet based method wherever information to accumulate and different security examin...

Big data is a large volume of data that demands effective cost and novel forms of data to process for enhanced security imminent innovation, assessment creation, and optimization process. Cloud computing provides a consistent, fault lenient, and extensible background to the big data disseminated managing systems. Cloud computing is emerged that has...

In the world of internet, searching play a vital role to retrieve the relevant answers for the user specific queries. The most promising application of natural language processing and information retrieval system is Question answering system which provides directly the accurate answer instead of set of documents. The main objective of information r...

As the technology is developing information in each fields like literature, technology, science, medicine etc., also increasing in high pace. To extract related document in huge collection of documents based on user query in digital world is an interesting problem. Documents similarity Technique used in many applications like text categorization, p...

Diabetes is one of the most common diseases, as per the survey in 2015, 30 million people in US are suffering from this disease, i.e about 90-95 percent of the population. If diabetes is untreated at the early stages, high blood glucose in the body leads to various other health problems like: eye problems, stroke, nerve damage, heart disease, strok...

In the field of Computer science, Gesture recognition is an alternative user interface for providing real-time data to a computer. This paper focuses on a system which provides the communication between the vocally impaired people and the normal people of the society by translating Sign Language system into Text and Speech in English. The system ca...

In modern age of information explosion, every day millions of gigabytes of data are generated in the form of documents, web pages, e-mail, social media text, blogs etc., so importance of effective and efficient Natural Language Processing techniques become crucial for an information retrieval system, text summarization, sentiment analysis, informat...

Every minute in the internet, enormous volume of data is generating tuning into big data. A new paradigm of data storage and processing is essential. There is extremely no query that Hadoop is an essentially unruly technology. Latest innovation in scalability, appearance, and data dispensation competence has been beating us apiece of few months ove...

The amount of data around us in three sixty degrees getting increased second on second and the world is exploding as a result the size of the database used in today's enterprises, which is growing at an exponential rate day by day. At the same time, the need to process and analyze the bulky data for business decision making has also increased. Seve...

In today's predictive analytics world, data engineering play a vital role, data acquisition is carried out from various source systems and process as per the business applications and domain. Big Data integrates, governs, and secures big data with repeatable, reliable, and maintainable processes. Through volume, speed, and assortment of information...

Due to rapid growth of unstructured data in contemporary information world, there is an essence of big data infrastructure for many applications spread across domains, due to the different source information type and huge volume, data ingestion and data retrieval is important activity during this process data security is a vital to protect user dat...

Due to Internet of things and social media platforms, raw data is getting generated from systems around us in three sixty degree with respect to time, volume and type. Social networking is increasing rapidly to exploit business advertisements as business demands. In this regard there are many challenges for data management service providers, securi...

Recent technological advancements have led to generation of huge volume of data from distinctive domains (scientific sensors, health care, user-generated data, finical companies and internet and supply chain systems) over the past decade. To capture the meaning of this emerging trend the term big data was coined. In addition to its huge volume, big...

Due to increased computerization in the current trend of modern agriculture, in this contemporary scenario in India, sericulture plays a major role, aiding in the empowerment of the rural sector. The present investigation deals with the study of mulberry yield with varieties and various parameters that affect its growth. The current study is more p...

Day by day users of Internet is increasing for information extraction with precise answer. As Users struggle to get exact information, the demand for automated question answering becomes so necessary to search the answer of their questions meaningfully. This is a ambitious work to provide the accurate answer to the user query. When a user asks any...

The amount of data around us in three sixty degrees getting increased second on second and the world is exploding as a result the size of the database used in today's enterprises, which is growing at an exponential rate day by day. At the same time, the need to process and analyze the bulky data for business decision making has also increased. Seve...

Recent technological advancements have led to generation of huge volume of data from distinctive domains (scientific sensors, health care, user-generated data, finical companies and internet and supply chain systems) over the past decade. To capture the meaning of this emerging trend the term big data was coined. In addition to its huge volume, big...

Recent technological advancements have led to generation of huge volume of data from distinctive domains (scientific sensors, health care, user-generated data, finical companies and internet and supply chain systems) over the past decade. To capture the meaning of this emerging trend the term big data was coined. In addition to its huge volume, big...

India accounts for more than fifty percent of sericulture production in the world. The modern Sericulture methods that have evolved demand, accurate classification of soil suitable for Mulberry crop productivity. But the most prevalent method adopted currently in soil testing is manual, which often fails to give the correct prescription to make soi...

With the development of various new technologies in the field of network technology and also cloud computing, there is also lots of data that is involved in all of it. Thus the concept of big data is introduced which is not an entirely new technology but an extension to Data Mining. Thus securing this Big Data is both important as well as challengi...

The Extended File Allocation Table (ExFAT) file system is optimized to use with SSD (Solid State Drives). The ExFAT file system supports higher storage size compared to conventional File Allocation Table (FAT) file system. The Transaction safe Extended FAT file system (TexFAT) is a variant of ExFAT file system with power fail safe feature. The TexF...

There is a huge effect of Data Exploration all over the world due to technology advancement, compilation and storage technologies. Huge amount of agricultural data are collected and stored in databases through manual or automated system. With the volume of data being increased, there is an increase in the space between the data stored and the data...

There is a huge effect of Data Exploration all over the world due to technology advancement, compilation and storage technologies. Huge amount of agricultural data are collected and stored in databases through manual or automated system. With the volume of data being increased, there is an increase in the space between the data stored and the data...

In today's business world, decision making is challenging task due to emerging technologies and strategies applied for enterprise. To make accurate decisions, the data present in the decision databases should be of good quality, in this relation we emphasis on building data quality evaluation model for data migration or Extraction Transformation an...

In current information trends, state of decision making is one of the important deeds for any organization or enterprise to identify them in the business market in this connection, the data which is present in data warehouse or decision databases should be very accurate and help them to give proper decisions. When the organizations or enterprises u...

In current trend, every software development, enhancement, or maintenance project includes some quality assurance activities. Quality assurance attempts defects prevention by concentrating on the process of producing the rather than working on the defect detection after the product is built. Regression testing means rerunning test cases from existi...

We know that World Wide Web is made of millions of sensitive pages, we deals with an approach to disable pages in the browser after the user performs any action on the screen. This was required not only to enhance user experience but also to ensure that a transaction under process is not disturbed when the user clicks elsewhere on the screen after...

In the present information age, Conventional data masking solutions perform Static Data Masking, where the obfuscated values are physically stored in the database. For obvious reasons, Data Masking has been limited to Development and QA environments. Now, for the first time, organizations/enterprises production environments can be dynamically maske...

Data-driven decision support systems, such as data warehouses can serve the requirement of extraction of information from more than one subject area. Data warehouses standardize the data across the organization so as to have a single view of information. Data warehouses can provide the information required by the decision makers. Developing a data...

Block ciphers are very important in communication systems as they provide confidentiality through encryption. The popular block cipher is an Advanced Encryption Standard (AES). Each cipher uses several rounds of fixed operations to achieve desired security level. The number of rounds in a block cipher is decided based upon the resistivity levels ag...

Data masking is the process of obscuring-masking, specific data elements within data stores. It ensures that sensitive data is replaced with realistic but not real data. The goal is that sensitive customer information is not available outside of the authorized environment. Data masking is typically done while provisioning nonproduction environments...

Data masking is the process of obscuring-masking, specific data elements within data stores. It ensures that sensitive data is replaced with realistic but not real data. The goal is that sensitive customer information is not available outside of the authorized environment. Data masking is typically done while provisioning nonproduction environments...

Data warehousing is one of the latest trends in computing environment and information technology applications. A data warehouse is a system that extracts, cleans and delivers source data into dimensionaldata store and then supports and implements querying and analysis for the purpose of decision making. From a data warehouse, data flows to various...

Data warehouse acting as a decision support systems, Data warehouses standardize the data across the organization so that there will be one view of information. Data warehouses can provide the information required by the decision makers. Developing a data warehouse for educational institute is the less focused area as educational institutes are non...

In today's information age, the data is an important asset of the organization so the security of the data is a vital role in the industry. In order to achieve the above aspect, the data masking is used. The data masking is mainly the data is replaced with realistic but not the original data. The main objective is to make sensitive information is n...

Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automat...

In today's information age, the data is an important asset of the organization so the security of the data is a vital role in the industry. In order to achieve the above aspect, the data masking is used. The data masking is mainly the data is replaced with realistic but not the original data. The main objective is to make sensitive information is n...

Data quality is a critical factor for the success of data warehousing projects. If data is of inadequate quality, then the knowledge workers who query the data warehouse and the decision makers who receive the information cannot trust the results. In order to obtain clean and reliable data, it is imperative to focus on data quality. While many data...

Over the past decades, data mining has proved to be a successful approach for extracting hidden knowledge from huge collections of structured digital data stored in databases. From the inception, Data mining was done primarily on numerical set of data. Nowadays as large multimedia data sets such as audio, speech, text, web, image, video and combina...

Data quality is a critical factor for the success of data warehousing projects. If data is of inadequate quality, then the knowledge workers who query the data warehouse and the decision makers who receive the information cannot trust the results. In order to obtain clean and reliable data, it is imperative to focus on data quality. While many data...

Data quality has become increasingly important to many organizations to make any decisions on their business, astechnology is evolved, the business demands to migrate the data from one platform to another due to variousfactors like portability, scalability and Security reasons, this paper emphasis on proposing model to do qualitychecks for huge dat...