[HTML][HTML] Adaptations of data mining methodologies: A systematic literature review

V Plotnikova, M Dumas, F Milani - PeerJ Computer Science, 2020 - peerj.com
The use of end-to-end data mining methodologies such as CRISP-DM, KDD process, and
SEMMA has grown substantially over the past decade. However, little is known as to how …

[HTML][HTML] DDPM: A dengue disease prediction and diagnosis model using sentiment analysis and machine learning algorithms

G Gupta, S Khan, V Guleria, A Almjally, BI Alabduallah… - Diagnostics, 2023 - mdpi.com
The aedes mosquito-borne dengue viruses cause dengue fever, an arboviral disease
(DENVs). In 2019, the World Health Organization forecasts a yearly occurrence of infections …

Developing a COVID-19 crisis management strategy using news media and social media in big data analytics

YE Park - Social Science Computer Review, 2022 - journals.sagepub.com
Due to the unpredictability of global events such as a COVID-19 pandemic, it is necessary to
prepare for a crisis management strategy at the macro-level in each country to respond to …

[HTML][HTML] Comparing Machine Learning and Deep Learning Techniques for Text Analytics: Detecting the Severity of Hate Comments Online

A Marshan, FNM Nizar, A Ioannou… - Information Systems …, 2023 - Springer
Social media platforms have become an increasingly popular tool for individuals to share
their thoughts and opinions with other people. However, very often people tend to misuse …

Robust breast cancer prediction system based on rough set theory at National Cancer Institute of Egypt

SKM Hamouda, ME Wahed, RHA Alez… - Computer methods and …, 2018 - Elsevier
Background: Breast cancer is one of the major death causing diseases of the women in the
world. Every year more than million women are diagnosed with breast cancer more than half …

[PDF][PDF] Data empowered insights for sustainability of Korean MNEs

YE PARK - The Journal of Asian Finance, Economics and …, 2019 - researchgate.net
This study aims to utilize big data contents of news and social media for developing a
corporate strategy of multinational enterprises and their global decision-making through the …

Rule extraction for tram faults via data mining for safe transportation

F Gürbüz, F Turna - Transportation research part A: policy and practice, 2018 - Elsevier
The demand to travel by rail is ever increasing because it benefits passengers. Also it is
important for railway administrators to carry passengers safely to their destinations. One of …

Towards a practical process model for anomaly detection systems

N Schwenzfeier, V Gruhn - … of the 1st International Workshop on …, 2018 - dl.acm.org
Process models are an important tool for software engineers to produce reliable software
within schedule and budget. Especially technically challenging domains like machine …

[PDF][PDF] Association pattern discovery of import export items in ethiopia

MM Gebru - American Scientific Research Journal for Engineering …, 2018 - core.ac.uk
This paper examines the application of data mining to detect association pattern of customs
administration data with market price and currency rate exchange in Ethiopia. The …

Veri madenciliği: yapay sinir ağı ve doğrusal regresyon yöntemleri ile fiyat tahmini

SU Gültekin - 2017 - gcris.pau.edu.tr
Veri madenciliği kavramı, finans piyasaları için son derece önemlidir. Çünkü yeterli veri ile
bir mal veya hizmetin fiyatı tahmin edilebilir ve o mal veya hizmeti satın almak için harcanan …