Machine Learning based Improved Gaussian Mixture Model for IoT Real-Time Data Analysis

Sivadi, Sivadi; Moorthy, Moorthy; Solanki, Vijender Kumar

doi:10.16925/2357-6014.2020.01.02

Cited by 8 publications

(2 citation statements)

References 18 publications

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“…The F1 score is based on the harmonic mean of the precision and recall values [45]. The F1 score value was calculated with Eq.…”

Section: Actual Values Predicted Valuesmentioning

confidence: 99%

Prediction of breast cancer using machine learning algorithms on different datasets

Çağrı Yavuz,

Calp,

Ceren Erkengel

2023

ing. Solidar

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Breast cancer is a disease that is becoming more and more common day by day, causing emotional and behavioral reactions and having fatal consequences if not detected early. At this point, traditional methods are insufficient, especially in early diagnosis. In this context, this study aimed to predict breast cancer by using machine learning (ML) algorithms on different datasets and to demonstrate the applicability of these algorithms. Algorithm performances were compared on balanced and unbalanced datasets, taking into account the performance metrics obtained in applications on different datasets. In addition, a model based on the Borda Voting method was developed by including the results obtained from four different algorithms (NB, KNN, DT, and RF) in the process. The prediction values obtained from each algorithm were written in different columns on the same excel file and the most repetitive value was accepted as the final result value. The developed model was tested on real data consisting of 60 records and the results were analyzed. When the results were examined, it was seen that higher performance was obtained with the proposed RF model compared to similar studies in the literature. Finally, the prediction results obtained with the developed model revealed the applicability of ML algorithms in the diagnosis of breast cancer.

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“…The F1 score is based on the harmonic mean of the precision and recall values [45]. The F1 score value was calculated with Eq.…”

Section: Actual Values Predicted Valuesmentioning

confidence: 99%

Prediction of breast cancer using machine learning algorithms on different datasets

Çağrı Yavuz,

Calp,

Ceren Erkengel

2023

ing. Solidar

View full text Add to dashboard Cite

show abstract

“…IoT devices connected to the network, and by 2025 the amount is estimated to increase to a number between 80 and 120 billion, producing just over 180 billion gigabytes of data that must be stored and analyzed through Big Data techniques and by ML to obtain valuable knowledge in multiplex sectors of society [72].…”

Section: The Internet Of Things (Iot)mentioning

confidence: 99%

Technological trends

Cardona¹

2021

ing. Solidar

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Introduction: This bibliographic review article is the product of research on new technological trends, focusing on citizen security, carried out at the SIEL research hotbed of the Universidad del Valle-Buga headquarters, Colombia in 2019. Problem: Investigate the new technological trends aimed at the citizen security sector. Objective: Identify the new technological trends in the sector of citizen security, its application in the world and expose the current state in Colombia. Methodology: Documentary review of primary sources of the last 5 years, such as; scientific articles, government pages, laws, press releases and recognized newspapers. Results: Since MinTIC was created in Colombia, in partnership with different government entities, society in general has benefited from projects in areas such as education, health, housing and security. The modernization of control institutions in Colombia is evident being the security sector one of the most advantageous. Conclusion: In general terms, sectors such as technology and education are still lagging behind. As for the security sector, there is no doubt the effort and progress in research and development of new technologies present in the vast majority of government entities. Originality: new technological trends are investigated from the point of view of citizen security in several application scenarios. Limitations: For the most part, the review focuses on aspects of citizen security, indicating very little the social field

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An Aviation Delay Prediction and Recommendation System Using Machine Learning Techniques

Sirisati¹,

Prasanthi

Latha³

2021

Algorithms for Intelligent Systems

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Machine Learning based Improved Gaussian Mixture Model for IoT Real-Time Data Analysis

Cited by 8 publications

References 18 publications

Prediction of breast cancer using machine learning algorithms on different datasets

Prediction of breast cancer using machine learning algorithms on different datasets

Technological trends

An Aviation Delay Prediction and Recommendation System Using Machine Learning Techniques

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