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129 articles for “Data mining Technique”
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A Comprehensive Review on Python based NLP Approaches for Sentiment Analysis
Abstract: Sentiment analysis, also known as opinion mining, is a burgeoning field in natural language processing that involves the computational analysis of textual data to determine and quantify the sentiment expressed within. This study presents a comprehensive exploration of sentiment analysis using Python, focusing on techniques, methodologies, and tools that enable the extraction of sentiment polarity from diverse textual sources. The review commences with an overview of the importance of sentiment …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 1–7 Read article
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Prediction of Likelihood of Contraceptive Method among Women using Machine Learning Techniques
Abstract: This paper presents the various machine learning techniques and early fusion approach for analyzing usage of contraceptive methods among women. The analysis has been done using various nine features that the usage of contraceptive among women is whether low, high or not at all. This paper also evaluates the effect of contraceptive prediction is affected by men, age, and religion. Finally, comparison of classification accuracy has been employed between 22 …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article
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An Examination of Energy-Saving Techniques for UAV Communication
Abstract: Unmanned aerial vehicles (UAVs), or drones, have become essential in various industries due to their low deployment costs and exceptional versatility. As a result, they are widely used in industries like mining, agriculture, logistics, and search and rescue. The effectiveness of UAV applications is largely dependent on robust communication technology, which is crucial for control, data transmission, and coordination. However, the limited capacity of the low-power batteries used in UAVs …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 1–7 Read article
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Terrorist Network Mining
Abstract: AbstractTerrorist activities worldwide has moved toward the advancement of different high-finished strategies for dissecting psychological militant gatherings and disrupting government systems. Existing examination found that social network analysis (SNA) is a standout amongst the best and persistent technique for countering fear mongering in interpersonal organizations. In this paper our approach is divided in two phases, in Phase 1, we apply shuffled frog leap algorithm (SFLA) for SNA in order to …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 42–52 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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Malware Detection Using Data Mining
Abstract: In the digital world, everything is getting digitalized. Mobile devices, such as smartphones and handsets, are becoming increasingly popular, increasing criminals' appeal as targets for mobile malware. Consequently, in order to properly identify mobile malware, an antimalware detector plays a significant role. Prior to this, we concentrated on developing a behavioural analysis based on an ontology. To learn more about mobile malware, to assist end users in using their mobile …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 3, 2022 · pp. 9–13 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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A Medical Expert System to Manage Disease using Oversampling and Decision Tree
Abstract: Now-a-days modern technology is joining hands with traditional system of medical diagnosis and treatment to alleviate health related problems faced by modern age due to its lifestyle and hectic work pressure. Therefore, it is paramount to develop a system that can identify the major causes of health related problems beforehand, so that people can follow some precautionary measures to prevent those causes and can have hassle free life. Decision tree …
Published in Recent Trends in Programming languages · Vol. 7, Issue 1, 2020 · pp. 27–33 Read article
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Opinion Polls: Election Result Prediction Using Social Networking Sites - A Review
Abstract: AbstractThe impact of social media is increasing and is being embedded in daily life as it provides a platform for people to express their opinions, sentiments and feelings towards any particular topic. So the data from social media is used by researchers as a data source for opinion mining or sentiment analysis. It can be used to discover political preference of users regarding elections as it has become the most …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 1–7 Read article
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Advancements in K-Means Clustering: Boosting Algorithm Performance through Innovations
Abstract: K-Means clustering is a widely used unsupervised learning algorithm for partitioning a dataset into distinct clusters. Despite its popularity and simplicity, K-Means has several limitations, such as sensitivity to initial centroids, convergence to local minima, and inefficiency with large datasets. This paper reviews recent advancements aimed at addressing these challenges and enhancing the performance of the K-Means algorithm. Innovations include improved initialization methods, such as K-Means++, which significantly reduce the …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 30–37 Read article
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Citizen Opinion Mining Initiatives in Government Decision Making by Categorizing Citizen Sentiments
Abstract: AbstractCitizen opinion mining (C.O.M.) is a type of natural language processing (NLP) for finding the sentiments of citizen on various targeted government policies. Opinion mining techniques can be used for measuring influence facts like citizen behavior, desire, needs that help to improve government services. It includes building a system to gather and examine opinions for specific policy, made in weblog posts, comments, stories or tweets. Proposed approach gives brief description …
Published in Current Trends in Information Technology · Vol. 7, Issue 2, 2017 · pp. 1–10 Read article
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Landuse/Landcover Classification in parts of the Sathyavedu Area, Chittoor District (Andhra Pradesh), India by using Remote sensing and GIS Techniques
Abstract: The aim of the present is to identifying the land use and cover analysis of Sathyavedu area, chittoor district, Andhra Pradesh, India by using Geographical Information System. The present study have been employed with survey of India toposheet No's. 57 O/14, O/15, 66 C/2, and C/3 and Remote sensing LISS-III data. On the basis of field study, topographical maps and satellite data have been determined 15 categories’ in the study …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 3, 2019 · pp. 18–24 Read article
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Image Segmentation by Grouping Pixels in Color and Image Space Simultaneously using DBSCAN Clustering Algorithm
Abstract: In this paper, the authors propose a technique for image segmentation by integrating the spatial connectivity and color features of pixels. Taking into account that an image can be considered as a dataset in which each pixel has a spatial location and a color value, color image segmentation can be obtained by clustering these pixels into different groups of coherent spatial connectivity and color. To discover clusters in spatial databases …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 52–60 Read article
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Strategies to Control Quality in Crowdmining
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Crowd sourcing is emerging as an effective method for data gathering and analysis, which introduces a new paradigm of data mining process. Crowd workers perform small chunks of larger tasks in return for a reward, which can be monetary, material, psychological and so on. One of the biggest challenges of crowd mining is controlling the quality of the answers collected from …
Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 1–5 Read article
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Artificial Neural Network Model for Stock Market Forecasting
Abstract: AbstractIn recent years, many attempts have been made to predict the behavior of bonds, currencies, stocks or stock markets. Neural networks, as an intelligent data mining method, have been used in many different challenging pattern recognition problems such as stock market prediction. The aim of this paper is to predict stock market using artificial neural networks (ANNs). The authors used feed forward neural network trained by back-propagation algorithm to make …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 7–12 Read article
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Semantic Web Mining: Survey and Analysis
Abstract: Data on World Wide Web is growing at a tremendous rate and information overload becoming a major problem. Due to this, finding the relevant documents and extracting useful information has become a challenging task. Semantic web mining deals with these challenges. A review of the existing semantic web mining approaches is presented in this paper. The paper explores different semantic web mining approaches and compares them that are based on …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 3, 2018 · pp. 20–31 Read article
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Land Use and Land Cover Analysis of Jharkhand Using Satellite Remote Sensing
Abstract: IRS P6 LISS III data was used to delineate different land use/land cover classes of Jharkhand using visual interpretation technique. Tone and texture were found most important for interpretation of different objects. A total of 42 classes of different land use/land cover categories were interpreted. Agricultural land with current fallow and forest areas dominated the landscape of Jharkhand by occupying 49% and 30% of total geographical area, respectively. Built-up (urban …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 1, Issue 1-3, 2012 · pp. 22–31 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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A New Framework for Optimal Hesitation Pattern Mining
Abstract: AbstractIn mathematical optimization, the firefly algorithm is a metaheuristic approach. It has been proposed by Xin-She Yang and inspired by the flashing behavior of fireflies. Proposed research used Firefly Algorithm for discovering the best Association rules. In this species, it is always the female who glows, and only the male has wings. In other species, Luciola lusitanica, both male and female firefly may emit light and both have wings. If …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 34–41 Read article
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Forest Change Monitoring of Ghatsila, Musabani and Dhalbhumgarh Block of East Singbhum District, Jharkhand State using Image Subtraction, Image Ratioing and SAM Classification Method
Abstract: Forests and biodiversity is the key of all life forms. The richer the forest, greater the opportunity for economic development and adaptive responses to the challenge of climate change induced disasters. The forest area of Jharkhand is rapidly destroyed due to unscientific mining, industry induced air pollutants and human encroachment in forest area. This heavy deforestation activity has changed the ecosystem and environment. Recent advancement in remote sensing technology has …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 1, 2015 · pp. 37–42 Read article