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477 articles for “database systems”
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The Role of Guduchyadi Rasayana In Mental Well-Being – A Review Study
Abstract: In this era, stress is the main etiological factor behind almost every other disease. In 2020, the COVID-19 pandemic led to a notable increase in anxiety and depressive disorders worldwide. This highlighted the critical need for mental health support during such challenging times. Ageing is a biological process characterized universally by natural degeneration, standing out as a significant risk factor for morbidity and mortality. The Oxidative Stress Theory suggests that …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2024 · pp. 22–30 Read article
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AI and ML in the Chemical Industry: A Review of Transformative Applications and Future Prospects
Abstract: The chemical industry, a key growth indicator of the global manufacturing ecosystem, is experiencing a digital transformation driven mainly by advancements in Artificial Intelligence (AI) and Machine Learning (ML) in this sector. These technologies are totally revolutionizing current and traditional methodologies by significantly improving process efficiency, reducing costs of manufacturing, accelerating R&D, and improving safety and sustainability standards. Proper utilization of Artificial intelligence (AI) and machine learning (ML) in chemical …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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A Latest Approach for Crime Rate Prediction and Analysis by Using the Clustering and Machine Learning Algorithm
Abstract: In our daily life, the collection and analysis of crime-related data is uncertain from a security perspective. Crime rate forecasting and analysis is a way of identifying and analyzing crime patterns in crime data contained in a crime database. Our system predicts what criminal activity occurs in everyday life in various parts of the world. Through the utilization of machine learning and data mining algorithms, it is possible to forecast …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 32–42 Read article
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Novel Algorithm for Finding the Range of Fuzzy Values for Quantitative Data Sets by Data Mining and Fuzzy Technique
Abstract: We all know, when we have large data sets, then applying data mining association rule is difficult. Fuzzy based classification technique is to overcome above problem. This technique divides the large data sets in two parts. First part carries useful data sets and second part applies data mining association algorithm. We can also be able to find the frequent classes or frequent fuzzy values of quantitative data sets. We also …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 27–32 Read article
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A Novel Multi-Wavelet Based Image Filtering Technique for Noise Reduction in Mammographic Medical Images
Abstract: The digital mammographic imagery is often influenced by various types of noises and thus requires application of various filters to denoise the noise level in order to preserve the vital imagery contents. This evidently helps the medical practitioner to improve the image quality of the mammograms and helps them in giving accurate diagnosis. Though there are several works on image denoising algorithm but they aren’t much to pay emphasis over …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 12–17 Read article
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Social Media Advertisement Impact on Customer Relationship Management
Abstract: In today’s digital era, use of social media websites is increasing. These websites are generally free to use, and have a lot of advertisements. In this paper we aim to deliver the users with a rich set of advertisements, which are more user centric and appealing to the user. The relevant data are collected from the users using these social media websites. Then with the help of data mining the …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 18–21 Read article
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A Study of DATA Mining Algorithms
Abstract: The time needed for generating frequent patterns plays a vital role. Some algorithms are designed, considering solely the time issue. Our study includes depth analysis of algorithms and discusses some problems of generating frequent pattern from the varied algorithms. We have explored the unifying feature among the inner operating of assorted mining algorithms. The work yields a close analysis of the algorithms to elucidate the performance with normal dataset like …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 22–26 Read article
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Modified Morphology of Wavelet based Transformations for Color Image Compression
Abstract: For the sake of effective transmission and less storage of digital information the signal processing environment requires compression schemes to facilitate easy handling and management of large chunk of information. Such that the redundant data and other chunks of information which can be reproduced from the existing or basic information can be reproduced in no time without requiring large database storages. Wavelet processing is one of such methods which are …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 1–9 Read article
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A Hybrid Algorithm for Duplicate Document Detection
Abstract: Identification of duplicate document in a set of documents is a very big issue in information retrieval. In recent years, there are many researches going on and many methods have been proposed to detect and remove the duplicate documents but their relevance is still an issue. This paper proposed a hybrid algorithm based on word position by integrating n-gram searching technique. This experiment also uses inverted index to reduce the …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 24–34 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
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Mapreduce Based Framework for Social Media Post Visualization
Abstract: Handling huge amount of data scalable is a matter of concern for a long time. We all know that social media generates huge amounts of data the explosive growth of social media is one of the reasons that 90% of all the data in the world has been generated in the last two years alone. When we use services like Facebook and Twitter, we agree to let those to store …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 49–52 Read article
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Comparative Study of Data Mining Tools
Abstract: Data mining is a process which finds useful patterns from large amount of data for an appropriate application. It is a well-built technology with great potential to help companies whose focus is on important information in huge databases. It uses machine learning, statistical and visualization technique to discover and predict knowledge in a form which is easily understandable to the user. Classification is important technique of data mining which employs …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 35–41 Read article
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Reducing the Dimensional Dependence for Rank-based Similarity Search
Abstract: In this paper, we try to introduce a data structure for k-NN search, the Rank Cover Tree (RCT). The pruning tests for RCT rely on the comparison of similarity values not on the other properties of the underlying space, such as the triangle inequality. Objects are selected according to their ranks with respect to the query object, allowing much tighter control on the overall execution costs. Theoretical analysis shows that …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 20–25 Read article
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Review on DTN Routing Families
Abstract: Delay tolerant network are a class of emerging networks that experiences periodic and long duration changes. Compared with the traditional network, the feature which separate DTN with other networks is that there is no end to end communication path between source node and destination node. The network topology changes vigorously and non-presence of an end to end connectivity posses many challenges in the routing protocol. The routing protocols are broadly …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 26–31 Read article
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A Survey on Multiobjective Decision Making on Vague Sets
Abstract: This paper provides report of a survey on the vague sets and also multiobjective decision making. As a further fuzzy set theory generalization, the vague set theory can overcome the fuzzy set shortcomings through defining the membership from two different sides of both FALSE and TRUE, rather than only through a value of a single membership. MCDM approach has evolved to accommodate numerous application types. Methods dozens have been developed, …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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Reducing the Dimensional Dependence for Rank-Based Similarity Search
Abstract: In this paper a data structure for k-NN search, the rank cover tree (RCT) is implemented. The pruning tests for RCT rely on the comparison of similarity values and not on the other properties of the underlying space, such as the triangle inequality. Objects are selected according to their ranks with respect to the query object, allowing much tighter control on the overall execution costs. Theoretical analysis shows that with …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 9–17 Read article
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A Framework for Test Data Generation Using Genetic Algorithm
Abstract: Software testing is one of the best methods to increase the confidence of the programmers in terms of correctness, quality and reliability of software. The testing effort is divided into three parts: test case generation, test execution, and test assessment. The goal of software testing is to design a set of minimal number of test data such that it reveals as many faults as possible. This paper proposed a framework …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 18–25 Read article
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Cloud Storage Deduplication Based on Cryptography Techniques
Abstract: In the present circumstances, numerous approaches are utilized for the removal of duplicating a copy for repeating data. One among the beneficial data compression approach is data de-duplication. It could minimize the significant amount ofspace for storageand also save the band widthwhen making use of cloud storage space. The security can be provided by confidentiality of the raw data files, although facilitating de-duplicated data files are encrypted by the proposed …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 2, 2016 · pp. 1–8 Read article
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A Review on Big Data
Abstract: AbstractThe goal of Big Data is to help organizations make better business decisions based on information by enabling researchers, data scientists and other analytics professionals to analyze large volumes of operational data, as well as other forms of data that may not be discovered by conventional Business Intelligence (BI) programs. This gives rise to the need for an analytical review of recent developments in the big data technology. Cloud services …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 1–7 Read article
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Information Privacy and Security in Data Mining
Abstract: AbstractThe improving popularity and growing of data mining technologies bring very serious effect to the security of individual's sensitive information. In the recent years, the privacy preserving data mining (PPDM), has been extensively studied and it is an emerging research subject in data mining. Without accommodating the security of sensitive information contained in the data, the basic idea of PPDM is to implement the data in such a manner so …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 30–44 Read article