Results 61 to 70 of about 102,603 (200)

Efficient Incremental Breadth-Depth XML Event Mining

, 2011
Many applications log a large amount of events continuously. Extracting interesting knowledge from logged events is an emerging active research area in data mining.
Boussaïd, Omar, Darmont, Jérôme, Salem, Rashed   +2 more
core   +2 more sources

Application of Data Assimilation Methods to Reconstruct the 3–5 December 2015 Etna Eruption

Geophysical Research Letters, Volume 53, Issue 7, 16 April 2026.
Abstract The assessment of volcanic hazards is crucial to develop effective emergency plans, especially for volcanoes close to urban areas or under air traffic routes. Impact assessment for expected scenarios relies on underlying numerical models that require eruption source parameters as inputs, and forecasts drastically depend on their robust ...
B. Martínez Montesinos, L. Mingari, E. Caruso, M. Poret, N. Mari, A. Folch, D. Tajè, A. Costa   +7 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, Volume 2, Issue 2, April 2026.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, Volume 14, Issue 4, Page 2318-2344, April 2026.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

APRIORI MODELS OF COMORBIDITY

Scientific medical Bulletin of Ugra, 2021
The history and modern ideas about the infl uence of a plurality of diseases on the state of human health are highlighted. To date, large-scale epidemiological observations have shown that a third of all current diseases in the population meet more diagnostic criteria than one disorder.
Roman Olegovich Ragozin, Mikhail Lvovich Blagonravov, Oleg Nikolaevich Ragozin   +2 more
openaire   +1 more source

On Nonlinear Oscillations: Basins of Attraction, Harmonic Balance Solution Artifacts and Urabe's Existence Criterion for the Duffing Oscillator

ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Volume 106, Issue 4, April 2026.
ABSTRACT The Duffing oscillator is often considered as “the” prototype of a nonlinear oscillator as it exhibits many characteristic phenomena of nonlinear dynamics. One of these phenomena is the occurrence of multiple periodic solutions as considered here for the case of the harmonically excited slightly damped Duffing oscillator.
Hannes Dänschel, Lukas Lentz, Nils Gräbner, Utz von Wagner   +3 more
wiley   +1 more source

Enhancing Predictive Accuracy in IoT-Based Smart Irrigation Systems: A Comparative Analysis of Advanced Ensemble Learning Models and Traditional Techniques for Soil Fertility Assessment

Engineering Proceedings
Unpredictable climate patterns and mounting groundwater depletion are major challenges to sustainable agriculture. The purpose of this research is to improve predictive accuracy in IoT-based smart irrigation systems using machine learning models for soil
Satyajit Puajpanda, Debasish Mahapatra, Sriya Mishra, Neelamadhab Padhy, Rasmita Panigrahi   +4 more
doaj   +1 more source

Perbandingan Tahapan Algoritma Apriori Klasik dengan Apriori Termodifikasi

Jurnal Kajian Ilmiah, 2018
Penambangan Aturan Asosiasi adalah area data mining yang fokus untuk memangkas kunci kandidat, untuk menemukan set item frekuensi. Algoritma apriori klasik bagaimana pun memiliki batasan dan karena itu, memberikan peluang untuk memodifikasi algoritma ini.
openaire   +1 more source

Personalized and Explainable Aspect‐Based Recommendation Using Latent Opinion Groups

Computational Intelligence, Volume 42, Issue 2, April 2026.
ABSTRACT The problem of explainable recommendation—supporting the recommendation of a product or service with an explanation of why the item is a good choice for the user—is attracting substantial research attention recently. Recommendations associated with an explanation of how the aspects of the chosen item may meet the needs and preferences of the ...
Maryam Mirzaei, Jörg Sander, Eleni Stroulia   +2 more
wiley   +1 more source

Exploring the Depths of Market Basket Analysis: A Comprehensive Guide to Transaction Analysis with FP-Growth and Apriori Algorithms

Invotek: Jurnal Inovasi Vokasional dan Teknologi
This research investigates the role of data science in understanding customer behavior and enhancing sales, focusing specifically on the application of Apriori and FP-Growth Algorithms at a retail store, Deli Point, in Labuan Bajo.
I Wayan Pio Pratama
doaj   +1 more source