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117 articles for “Big Data Management”
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Digital Transformation in Public Transport Management
Abstract: The digital transformation of public transport systems has emerged as a critical driver for improving urban mobility and addressing the growing challenges of congestion, inefficiency, and environmental sustainability. Public transport management systems are advancing through the integration of cutting-edge technologies like cloud computing, artificial intelligence (AI), big data analytics, and the Internet of Things (IoT). These innovations enhance efficiency, intelligence, and user experience, making transportation more seamless and responsive to …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 17–21 Read article
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Investigate the Implication of “Self-service Business Intelligence (SSBI)”—a Big Data Trend in Today’s Business World
Abstract: Information is a life blood of any business organization. At present, the data will generate from many sources. It is scattered and unorganized in nature. To make a date meaningful, there are various data analytics tools. The data analytics are quantitative techniques and methods that can convert an unorganized data into organized and generate the meaningful information. Through information, business professionals’ can easily scrutinize the business conditions, understand the business …
Published in Current Trends in Information Technology · Vol. 10, Issue 1, 2020 · pp. 17–22 Read article
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Exploring the World of Big Data: Understanding Impact and Possibilities
Abstract: Big data refers to the management and analysis of large and complex data sets that cannot be handled by traditional data processing software. It involves techniques for extracting useful information from these data sets, and involves challenges such as data storage, analysis, sharing, and privacy. The three main characteristics of big data are the large volume of data, the variety of data types, and the fast pace at which data …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 36–41 Read article
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Will Artificial Intelligence Open a New Door in Anaesthesia Practice?
Abstract: The research used big data obtained from Electronic Medical Records (EMR), Computerised Physician Order Entry (CPOE) systems and picture archiving and communication systems (PACS). The traditional techniques of statistics are difficult to apply on large data or big data of electronic medical records (EMR) due to vastness or complexity. The artificial intelligence technique is valuable means to handle such data of EMR. Other than artificial intelligence, machine learning is very …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 1, 2020 · pp. 29–37 Read article
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Life Sciences in the 21st Century: New Ideas and Their Effects
Abstract: The life sciences have made huge strides in the 21st century, thanks to quick progress in genomics, biotechnology, and computational biology. New technologies like gene editing, personalised medicine, and synthetic biology have changed the way we think about living systems and changed the way we do things in healthcare, farming, and managing the environment. Combining big data and artificial intelligence has sped up discoveries even further, making it possible to …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Compact Method for Analyzing Big Data
Abstract: Big Data Analysis (BDA) method is proposed in this paper. A compact method (K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm) based big data analysis is presented in this paper. There are four models are presented as, probabilistic model, possibility model, fuzzy model and variance model. A compact algorithm is illustrated also in this paper.Keywords: Big Data, K-Means Cluster, Generalised …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 2, 2020 · pp. 5–14 Read article
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Water Quality Management using IoT and Data Analysis
Abstract: The drinking water crisis is one of the biggest crises in the world. Contaminated water causes deadly diseases creating a health issue. As the world is equipped with new smart technology and data analysis methods, it is important to implement smart water quality management system using internet of things cloud computing and data analysis which will replace the traditional method of water quality management and ensure safe pure drinking water …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 1, 2020 · pp. 6–11 Read article
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Big Data to Big Data Mining: Issues, Challenges and Data Analytics Solutions
Abstract: Data has evolved at a great pace due to increasing interest of people and valuable contribution towards the emerging technologies. Emerging technologies are successful in generating huge quantity of data from various sources which in return provides Big Data. Big Data constitutes large amount of data in terms of texts, statistics, facts, figures, and records, etc., generated from heterogeneous environment. Big Data needs special attention for storage, managing, transportation and …
Published in Current Trends in Information Technology · Vol. 6, Issue 3, 2016 · pp. 7–15 Read article
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Privacy Aware Cross Cloud Service for Big Data Application Using Hiresome-II
Abstract: Cloud computing promises a scalable system for handling huge data applications like medical field analyses. For large scale data processing, a definite approach is provided by cross-cloud service. Nevertheless, the quality of potential compositions of cloud services concerns new composition and aggregation ways, particularly once some non-public clouds refuse to disclose all details of their service group action records, as a result of business privacy considerations in cross-cloud situations. Furthermore, …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 2, 2016 · pp. 21–32 Read article
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Antimicrobial Resistance and AI-Based Strategies for Rapid Pathogen Detection
Abstract: Antimicrobial resistance (AMR) has become a major global health threat, significantly reducing the effectiveness of antimicrobial therapies and increasing the burden of infectious diseases worldwide. The rapid emergence of multidrug-resistant pathogens has created an urgent need for faster, more accurate, and scalable diagnostic approaches to support timely treatment and effective infection control. Artificial intelligence (AI) has emerged as a promising technology capable of transforming pathogen detection and AMR surveillance through …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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IOT Big Data Techniques for Smart Home: A Study for Applicable in Small City at India
Abstract: AbstractInternet of Things is the connections of embedded technologies that contained physical objects and is used to communicate and intellect or interact with the inner states or the external surroundings, rather than people to people communication, IoT emphasis on machine to machine communication. This paper represents Big Data deployment in smart homes as it was limited for its applicability in IT industry. The proposed architecture can be applied to different …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 3, 2020 · pp. 20–24 Read article
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Hadoop and Map Reduce for Simplified Processing of Big Data
Abstract: Big data refers to large and complex data sets made up of a variety of structured and unstructured data, which are too big, too fast, or too hard to be managed by traditional techniques. Hadoop is an open source software platform for structuring big data on computer clusters built from commodity hardware and enabling it for data analysis. It is designed to scale up from a single server to thousands …
Published in Current Trends in Information Technology · Vol. 6, Issue 3, 2016 · pp. 1–6 Read article
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Generation of Business Intelligence by Sentimental Analysis through Big Data and Hadoop
Abstract: AbstractOnline networking gives clients a platform to discuss successfully with companions, family, and partners, and gives them a stage to discuss their top pick (and minimum most loved brands). This "unstructured" discussion can provide organizations crucial understanding into how buyers see their image, and enable them to effectively settle on business choices to keep up their horizons. Fast in the volume of conclusion, rich online networking on the web has …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 20–25 Read article
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A Survey on Big Data and Its Benefits and Challenges
Abstract: AbstractThe objective of this article is to spectacle the benefits and vital issues of big data and its several challenging factors in companies and organization. It also expresses which kind of big data companies are expected for their needs and how much big data is designed for produced. Innovative resources of big data include location specific data arising from traffic management, and from the tracking of personal devices. With such …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 2, 2017 · pp. 1–7 Read article
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Algorithmic Strategies for Complex Data Handling: Optimizing Data Structures for Enhanced Computational Performance
Abstract: We live in an age of big data and processing very large often complicated datasets can be crucial to efficient algorithmic performance. This paper discusses different algorithmic techniques when working with difficult data and how to arrange your information structures correctly for better functionality in large-scale methods. It checks the impact of different algorithms like sorting, searching, and hashing in boosting its processing speed as well as memory use. This …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Smart Infrastructure Systems: A New Era in Civil Engineering and Infrastructure Management
Abstract: Civil engineering has experienced a significant technological shift due to the adoption of smart infrastructure systems. The integration of the Internet of Things (IoT), artificial intelligence (AI), and big data analytics has facilitated real-time monitoring, predictive maintenance, and improved infrastructure management. These advancements have transformed the planning, design, and operation of roads, bridges, water systems, and buildings. By employing smart sensors and AI-driven algorithms, engineers can now optimize the entire …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 38–43 Read article
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Revolutionizing Nutrient Care: Trends, Tech, and Monitoring Innovations – A Comprehensive Review
Abstract: Nutrition plays a pivotal role in human health, encompassing a wide spectrum of nutrients crucial for bodily functions. Nutrients are typically divided into two categories: macronutrients and micronutrients, and people often use dietary supplements to augment their intake of these essential elements. However, the use of such supplements can have both benefits and risks, necessitating careful monitoring and prescription. This review highlights recent advancements in the monitoring of nutrients, with …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 10, Issue 2, 2023 · pp. 6–16 Read article
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Big Data: How Universities Use Big Data for Admission
Abstract: The advent of big data has transformed the manner in which businesses handle, store, and oversee data. In the realm of extensive analytics, cloud computing has emerged as an indispensable resource, offering scalable and budget-friendly solutions for managing substantial data loads. This paper delves into the influence of big data on the university admission process, commencing with a definition of big data. It explores the advantages of employing big data …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 3, 2023 · pp. 24–29 Read article
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Hadoop Yarn Big Data: Review Paper
Abstract: AbstractYARN, yet another resource negotiator is a large-scale, distributed operating system for big data applications and software rewrite that is capable of decoupling MapReduce's resource management and scheduling capabilities from the data processing component. In this study we have briefly described the evolution of YARN for big data analysis from the year 2017 to the recent times. Keywords: Apache HADOOP, HDFS, MapReduce, Apache Samza, Apache Flink
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 18–26 Read article
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Effective Way to Handling Big Data Problems using NoSQL Database (MongoDB)
Abstract: NoSQL Solutions are basically meant to solve a big data problem that relational databases are either not well suited for, too expensive to use or require you to implement something that breaks the relational nature of your DB anyways. In this research paper, we are discussing about reasons for fall other database, introduction to NoSQL database, types, examples, benefits, advantages, challenges of NoSQL and when use what types of NoSQL. …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 42–48 Read article