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153 articles for “information mining”
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Intrusion Detection Systems: A Review
Abstract: In this paper, we present an overview of existing intrusion detection techniques. All these algorithms are described more or less on their own. Intrusion detection system is a very popular and computationally expensive task. We also explain the fundamentals of intrusion detection system. We describe today’s approaches for intrusion detection system. From the broad variety of efficient techniques that have been developed we will compare the most important ones. We …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 1, 2015 · pp. 11–13 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
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Finding Risk Factors in Thyroid and Cardiovascular System Using Naive Bayesian (NB) Machine Learning Technique
Abstract: Thyroid malady could be a common condition. A TSH test is carried out to check for the capacities of your thyroid organ. Illnesses of thyroid can be caused by conditions which cause thyroid organ over or under function. The test can moreover assist you recognize thyroid conditions some time recently indications happen. It is either as well (hyperthyroidism) or under-active (hypothyroidism), you might know. In case untreated, thyroid clutter may …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 1, 2020 · pp. 1–5 Read article
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Geographical Knowledge report on Agriculture by Spatial Data Mining
Abstract: Spatial Data Mining is nothing but the integration of Geographical Information System and Data Mining. The main objective of the present study i.e., Spatial Data Mining for Agriculture is to find or identify the potentially useful and ultimately understandable patterns in data which will be visualized on the map. Data Mining Algorithms such as clustering, classification, and association rules etc are applied for the Past and Future trends visualization for …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 1, 2018 · pp. 8–19 Read article
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Web Content Extraction Based on Tag-Row-Block Web Mining
Abstract: Information retrieval and Web mining are closely related to the content of Web pages. Due to the rapid development of Web technology, some previous automatic Web content extraction methods are no longer well suited to the current situation. Therefore, this paper proposes a universal content extraction method (CETRB) based on Tag-Row-Block, which is suitable for the current environment. The CETRB method, which combines the visual features and functional features of …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 2, 2020 · pp. 18–31 Read article
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Metagenome-Informed Engineering of Monoclonal Antibodies: Mining Microbial Immunoglobulin-Like Domains for Ultra-Stable Therapeutics
Abstract: Metagenome-informed engineering represents an emerging strategy for improving the stability and functionality of monoclonal antibodies (mAbs) by leveraging the vast diversity of microbial immunoglobulin-like (Ig-like) domains (10,24). These domains, derived from uncultured bacteria and bacteriophages, exhibit exceptional thermostability, protease resistance, and structural resilience due to adaptation to extreme environments (29,30). This review highlights advances in metagenomic mining, structural characterization, and protein engineering that enable the integration of microbial Ig-like scaffolds …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 70–83 Read article
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Web Data Mining in Cloud Computing: A Review
Abstract: In this paper I’m going to explain the web-data-mining utilizing Cloud Computing Technologies. Web-data-mining remembers how we can coerce the needful info for requests through the web then grow information utilizing information mining procedure. For example: Web utilization mining, web content mining, option to get from the website server. Cloud computing uses the technologies with data mining in web. Web mining strategies (explicitly web use mining procedure) and applications are …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 3, 2021 · pp. 6–10 Read article
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Privacy Enhancement on Internet of Things Using Differential Privacy Strategies
Abstract: AbstractWith recent developments in communication and data storage technologies, the Internet is gathering and storing an explosive amount of information. While such a large volume of data provides great opportunities for the exploration of knowledge, organizations do not want to share their information for legal or competitive reasons. This raises the problem of information mining while retaining privacy. Current efficient data mining privacy preservation algorithms are focused on the assumption …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 31–37 Read article
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Mining WebLog Data Using Enhanced Map-Reduce Based SOM Algorithm
Abstract: Web utilization mining is a procedure for finding client route designs in web server to get web log data. These route designs are additionally scrutinized by different information mining strategies. The found route instances can be further used to recognize the successive transactions of the client, foreseeing the future demand of client, and so on which very much essential due to enormous developments in electronic trade sites.Through a colossal measure …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 2, 2018 · pp. 10–17 Read article
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DESIGN PERSONALIZATION CLASSIFICATION MODEL USING SEMI-SUPERVISED SUPPORT VECTOR MACHINES
Abstract: Abstract Internet user is growing everyday as an outcome of this huge volume of data is being produced constantly. Thus Mining and evaluating such data can support an organization in services extending from website personalization and usage classification. The pre-existing machine learning algorithms are unable to solve this in a better way. The current application for data classification is really expensive in nature. Improve the recommendation technique using map reduce …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 1, 2018 · pp. 17–24 Read article
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Searching Substring in O(n) Time Complexity
Abstract: This research paper presents a highly efficient algorithm for substring search within a given string, achieving a remarkable time complexity of O(n). The proposed algorithm utilizes a two-pointer approach to compare the given string with the targeted substring. By employing string concatenation, the algorithm dynamically constructs a resultant substring during the matching process. Upon completion of character matching, the algorithm compares the resultant substring with the targeted substring and returns …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 9–15 Read article
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Design and Development of Web based Fuzzy Expert System for Diseases Diagnosis in Horticulture Sector: A Case Study of Flower Rose
Abstract: AbstractThe internet provides a platform for research and development of intelligent software applications. This paper suggests a new approach for inculcating intelligence in the computational system for diagnosis of diseases in plants of horticulture domain. In this paper, a web-based expert system is designed and developed. The need of horticulturists changes according to region of a country so it is very necessary to update knowledge base according to requirement of …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 1, 2013 · pp. 5–15 Read article
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Review on Introduction about Parallel Computing
Abstract: AbstractProductively and progressively, parallel handling is being viewed as the main financially savvy strategy for the quick arrangement of computationally vast and information escalated issues. The development of economical parallel PCs, for example, ware desktop multiprocessors and groups of workstations or PCs have made such parallel techniques by and large appropriate, as they have programming gauges for versatile parallel programming. This sets the phase for considerable development in parallel programming. …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 3, 2016 · pp. 1–4 Read article
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Faculty Development Initiatives in Africa on Asian Studies—Key to Integration
Abstract: India has a long history of development cooperation with Africa as part of government efforts towards capacity development in the region. This commitment from the government has impelled many institutions to build partnerships in Africa to advance studies in diverse areas such as agriculture, mining, information technology, management, etc. Simultaneously, both Indian and African institutions are aiming at greater internationalization through increase in the portfolio of the courses being offered …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 7, Issue 3, 2017 · pp. 27–35 Read article
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Efficient Information Retrieval based on Name and Aliases from the Web using Anchor Text Mining
Abstract: AbstractInformation Retrieval (IR) plays an important role in search engines. The major task is to search and retrieve complete information from the web in an effective and efficient way and hence it is found to be an enabling technology to realize the full potential of it. IR has a vital role in our day to day activities and it is considered to have a most prominent role in the search …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 13–18 Read article
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Using Machine Learning for Key phrase Extraction in Digital Libraries
Abstract: Machine learning has revolutionized various aspects of information retrieval, including key phrase extraction in digital libraries. Key phrase extraction is crucial for summarizing and categorizing vast amounts of textual data, enabling efficient search and retrieval processes. This study explores the application of machine learning techniques for automatic key phrase extraction in digital libraries. We review various supervised and unsupervised learning algorithms, including deep learning models, that are employed to identify …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 8–13 Read article
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Data Mining Techniques Used in Prediction of Heart Diseases
Abstract: AbstractHeart disease is a big life minatory ailment that cause to demise. It has deep long-term incompetence. There is a huge amount of data available within our system. Nevertheless, we are unable to find hidden relationship and prosperity in data. KDD (knowledge discovery in database) process, data mining consists of various techniques to convert these mounds of data into useful decision-making information. Data mining takes less time for the prediction …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 3, 2019 · pp. 9–11 Read article
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Survey on Intrusion Detection Using Data Mining Methods
Abstract: The present emerging information growth has made numerous challenges in the data mining. Data mining is the procedure of removing valid, before known, and comprehensive data sets for the future decision making. With the better technology through WWW, the streaming information comes into the picture with its challenges. The data, which alters with time and updates its value, is known as streaming information. As most of the data is streaming …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 2, 2016 · pp. 33–43 Read article
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Improving DBSCAN using Parallel Computing Approaches
Abstract: AbstractData mining has become the buzz word of computational research due to its enormous economical and social significance. Clustering is subset of data mining operations and is a type of learning using observation techniques. Clustering uses on unsupervised learning model and does not require any training data to generate the clustering model. Clustering enables grouping of similar and dissimilar type of data in separate groups. DBSCAN is on emerging and …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 20–26 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article