Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Incremental on-line learning: A review and comparison of state of the art algorithms

V Losing, B Hammer, H Wersing - Neurocomputing, 2018 - Elsevier
Recently, incremental and on-line learning gained more attention especially in the context of
big data and learning from data streams, conflicting with the traditional assumption of …

Covid-19 public sentiment insights and machine learning for tweets classification

J Samuel, GGMN Ali, MM Rahman, E Esawi, Y Samuel - Information, 2020 - mdpi.com
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …

Improving cyberbullying detection using Twitter users' psychological features and machine learning

V Balakrishnan, S Khan, HR Arabnia - Computers & Security, 2020 - Elsevier
Empirical evidences linking users' psychological features such as personality traits and
cybercrimes such as cyberbullying are many. This study deals with automatic cyberbullying …

Implementasi metode klasifikasi naive bayes dalam memprediksi besarnya penggunaan listrik rumah tangga

A Saleh - Creative Information Technology Journal, 2015 - citec.amikom.ac.id
Peranan listrik sangat penting bagi setiap lapisan masyarakat bahkan listrik juga sangat
dibutuhkan sebagai sarana produksi dan untuk kehidupan sehari-hari, begitu pentingnya …

Perancangan Sistem Informasi Management Siswa Berprestasi Berbasis Android Pada Smk Pgri Rawalumbu

M Bagus Tri - Jurnal Sains & Teknologi Fakultas Teknik, 2020 - repository.unsada.ac.id
Sistem informasi adalah kombinasi dari teknologi informasi dan aktivitas orang yang
menggunakan teknologi itu untuk mendukung operasi dan manajemen. Dalam arti yang …

Bio-signals in medical applications and challenges using artificial intelligence

M Swapna, UM Viswanadhula, R Aluvalu… - Journal of Sensor and …, 2022 - mdpi.com
Artificial Intelligence (AI) has broadly connected the medical field at various levels of
diagnosis based on the congruous data generated. Different types of bio-signal can be used …

Multiobjective multitasking optimization based on incremental learning

J Lin, HL Liu, B Xue, M Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Multiobjective multitasking optimization (MTO) is an emerging research topic in the field of
evolutionary computation. In contrast to multiobjective optimization, MTO solves multiple …

Prediction of slope stability using naive Bayes classifier

X Feng, S Li, C Yuan, P Zeng, Y Sun - KSCE Journal of Civil Engineering, 2018 - Springer
Slope stability prediction is of primary concern in identifying terrain that is susceptible to
landslides and mitigating the damages caused by landslides. In this study, a Naive Bayes …

{SourceFinder}: Finding malware {Source-Code} from publicly available repositories in {GitHub}

MOF Rokon, R Islam, A Darki, EE Papalexakis… - … on Research in Attacks …, 2020 - usenix.org
Where can we find malware source code? This question is motivated by a real need: there is
a dearth of malware source code, which impedes various types of security research. Our …