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Maryam Badar and Marco Fisichella
Fairness-aware mining of data streams is a challenging concern in the contemporary domain of machine learning. Many stream learning algorithms are used to replace humans in critical decision-making processes, e.g., hiring staff, assessing credit risk, et...
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Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki and Omar Elshaweesh
This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (...
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Charlyn Villavicencio, Julio Jerison Macrohon, X. Alphonse Inbaraj, Jyh-Horng Jeng and Jer-Guang Hsieh
A year into the COVID-19 pandemic and one of the longest recorded lockdowns in the world, the Philippines received its first delivery of COVID-19 vaccines on 1 March 2021 through WHO?s COVAX initiative. A month into inoculation of all frontline health pr...
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Faezeh Jafari and Sattar Dorafshan
Interpretation of IE data have been carried out by analyzing IE signals in frequency domain to determine the maximum frequency. However, the current peak frequency method can be inaccurate. The purpose of this research is to introduce features in IE sign...
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Pannapa Changpetch, Apasiri Pitpeng, Sasiprapa Hiriote and Chumpol Yuangyai
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Xiao Zhou, Mingzhan Su, Zhong Liu, Yu Hu, Bin Sun and Guanghui Feng
A smart tour route planning algorithm based on a Naïve Bayes interest data mining machine learning is brought forward in the paper, according to the problems of current tour route planning methods. A machine learning model of Naïve Bayes interest data mi...
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Hyun-Joo Oh, Mutiara Syifa, Chang-Wook Lee and Saro Lee
To effectively prevent land subsidence over abandoned coal mines, it is necessary to quantitatively identify vulnerable areas. In this study, we evaluated the performance of predictive Bayesian, functional, and meta-ensemble machine learning models in ge...
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Afwan Anggara, Widya Setia Findari
Pág. 18 - 24
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Ayundyah Kesumawati, Din Waikabu
Pág. 6 - 12
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Chunjing Song, Jian Wang and Guan Yuan
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Adi Wijaya,Romi Satria Wahono
Pág. 1 - 8
Intrinsic plagiarism detection is the task of analyzing a document with respect to undeclared changes in writing style which treated as outliers. Naive Bayes is often used to outlier detection. However, Naive Bayes has assumption that the values of conti...
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Al Riza Khadafy,Romi Satria Wahono
Pág. 136 - 142
Selama beberapa dekade terakhir, cukup banyak algoritma data mining yang telah diusulkan oleh peneliti kecerdasan komputasi untuk memecahkan masalah klasifikasi di dunia nyata. Di antara metode-metode data mining lainnya, Decision Tree (DT) memiliki berb...
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Lila Dini Utami,Romi Satria Wahono
Pág. 120 - 126
Internet merupakan bagian penting dari kehidupan sehari-hari. Saat ini, tidak hanya dari anggota keluarga dan teman-teman, tetapi juga dari orang asing yang berlokasi diseluruh dunia yang mungkin telah mengunjungi restoran tertentu. Konsumen dapat member...
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Torrey Wagner, Dennis Guhl and Brent Langhals
Given the emergence of China as a political and economic power in the 21st century, there is increased interest in analyzing Chinese news articles to better understand developing trends in China. Because of the volume of the material, automating the cate...
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Florimond De Smedt, Prabin Kayastha and Megh Raj Dhital
Naïve Bayes classification is widely used for landslide susceptibility analysis, especially in the form of weights-of-evidence. However, when significant conditional dependence is present, the probabilities derived from weights-of-evidence are biased, re...
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Antonella Falini
The Earth?s observation programs, through the acquisition of remotely sensed hyperspectral images, aim at detecting and monitoring any relevant surface change due to natural or anthropogenic causes. The proposed algorithm, given as input a pair of hypers...
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Nurwatik Nurwatik, Muhammad Hidayatul Ummah, Agung Budi Cahyono, Mohammad Rohmaneo Darminto and Jung-Hong Hong
One hundred seventeen landslides occurred in Malang Regency throughout 2021, triggering the need for practical hazard assessments to strengthen the disaster mitigation process. In terms of providing a solution for investigating the location of landslides...
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Adriana Olteanu, Alexandra Cernian and Sebastian-Augustin Gâga
Social media platforms make a significant contribution to modeling and influencing people?s opinions and decisions, including political views and orientation. Analyzing social media content can reveal trends and key triggers that will influence society. ...
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Menekse Gizem Gorgun, Seckin Polat and Umut Asan
Vertical integration, also known as make-or-buy, defines whether activities are conducted by company or provided by external parties. There are different models to support decision making for vertical integration in the literature. However, they ignore t...
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Arvind Kumar Gangwar, Sandeep Kumar and Alok Mishra
The early and accurate prediction of defects helps in testing software and therefore leads to an overall higher-quality product. Due to drift in software defect data, prediction model performances may degrade over time. Very few earlier works have invest...
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