A comprehensive survey of machine learning methodologies with emphasis in water resources management

M Drogkoula, K Kokkinos, N Samaras - Applied Sciences, 2023 - mdpi.com
This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems

I Viktoratos, A Tsadiras, N Bassiliades - Expert systems with applications, 2018 - Elsevier
Abstract Successful Location-Based Services should offer accurate and timely information
consumption recommendations to their customers, relevant to their contextual situation. To …

[HTML][HTML] Data mining and medical world: breast cancers' diagnosis, treatment, prognosis and challenges

RJ Oskouei, NM Kor, SA Maleki - American journal of cancer …, 2017 - ncbi.nlm.nih.gov
The amount of data in electronic and real world is constantly on the rise. Therefore,
extracting useful knowledge from the total available data is very important and time …

Market Basket Analysis for Books Sales Promotion using FP Growth Algorithm, Case Study: Gramedia Matraman Jakarta

F Firmansyah - Journal of Informatics and Telecommunication …, 2021 - ojs.uma.ac.id
For retail companies such as Gramedia stores, promotion and strategies to sell books are
important, so tools are needed to analyze past sales data. Gramedia does not yet have tools …

Interpretation of optimized hyper parameters in associative rule learning using eclat and apriori

D Mohapatra, J Tripathy, KK Mohanty… - 2021 5th International …, 2021 - ieeexplore.ieee.org
The classification of frequent item set is a vital problem in data mining. In recent area, where
it deals with more outcome within limited time, there is a need of certain algorithm supported …

Investigation of cinematic genre diversity based on social network analysis: the lost ring of the Iranian cinema industry

A Noroozian, B Amiri, M Agha Mohammad Ali Kermani - Kybernetes, 2023 - emerald.com
Purpose Movies critics believe that the diversity of Iranian cinematic genres has decreased
over time. The paper aims to answer the following questions: What is the impact of the …

A systematic literature review in causal association rules mining

S Luma-Osmani, F Ismaili, X Zenuni… - 2020 11th IEEE Annual …, 2020 - ieeexplore.ieee.org
As quoted recently, this is the age of information, and for information we need data. Data is
everywhere around us and it is expanding dramatically. The aim of this research is to inspect …

[PDF][PDF] Inventory prediction and management in Nigeria using market basket analysis associative rule mining: memetic algorithm based approach

AA Ojugo, AO Eboka - Int. J Inf & Commun Technol ISSN, 2019 - researchgate.net
A well-prepared abstract enables the reader to identify the basic content of a document
quickly and accurately, to determine its relevance to their interests, and thus to decide …

[PDF][PDF] Performance analysis of apriori and fp-growth algorithms (association rule mining)

A Bala, MZ Shuaibu, Z KaramiLawal… - Int. J. Computer …, 2016 - academia.edu
Association rule mining has become popular among marketers and organizations. In fact, an
example of association rule mining is referred to as market basket analysis. The task is to …

Frequent itemset mining for big data using greatest common divisor technique

MA Gawwad, MF Ahmed… - Data Science …, 2017 - account.datascience.codata.org
The discovery of frequent itemsets is one of the very important topics in data mining.
Frequent itemset discovery techniques help in generating qualitative knowledge which gives …