-
1
Mining breast cancer genetic data
Published 2013“…Analyzing breast cancer gene expression data is a very challenging problem due to the large amount of genes examined. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
2
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
Published 2022“…Another major problem with the current system is that having an ever-growing amount of data requires a proportional growing number of staff members to analyze the data. …”
Get full text
-
3
Mining breast cancer genetic data for improved diagnosis. (c2012)
Published 2012Get full text
Get full text
masterThesis -
4
Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
Published 2019“…While there are several theoretical perspectives of retention, which study the factors that cause students to drop out, more recent studies rely on a data mining and machine learning approach to explore the problem of retention. …”
Get full text
-
5
AI-driven nonlinear optimization for knowledge extraction and pattern analysis in IoT-enabled data mining systems
Published 2025“…In this paper, systematic exploration of the application of AI-based nonlinear optimization to elicit knowledge and pattern study in the IoT-enabled data mining takes place. The paper explains the complexity and heterogeneity of IoT data on scale by declaring and resolving nonlinear optimization problems using the latest AI methods, including genetic algorithms and neural networks. …”
Get full text
Get full text
article -
6
-
7
Web Based Online Hybrid Teaching Method of Network Music Course
Published 2022“…In the context of big data, the lengthy personalized screening process of users has become one of the problems to be solved. …”
Get full text
-
8
-
9
A Survey on Opinion Reason Mining and Interpreting Sentiment Variations
Published 2021“…Our objectives are investigating various methods for solving the Sentiment Variations’ Reasoning problem and identifying some empirical research gaps. …”
Get full text
Get full text
-
10
-
11
Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations
Published 2022“…</p><h2>Other Information</h2> <p> Published in: Data Mining and Knowledge Discovery<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10618-020-00708-6" target="_blank">http://dx.doi.org/10.1007/s10618-020-00708-6</a></p>…”
-
12
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
Published 2022“…Nevertheless, the GOA is unsuitable for addressing multimodal, hybrid functions, and data mining problems. Therefore, the current paper proposes the orthogonal learning (OL) method with Rosenbrock’s direct rotation strategy to improve the GOA and sustain the solution variety (IGOA). …”
Get full text
-
13
-
14
A Machine Learning Approach to Predicting Diabetes Complications
Published 2021Get full text
doctoralThesis -
15
-
16
Kinship recognition from faces using deep learning with imbalanced data
Published 2022“…Importantly, to overcome the problem of unbalanced data, One Hot Encoding for labels is utilised. …”
Get full text
-
17
-
18
Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
Published 2023“…The review paper will be helpful for the researchers and practitioners of GBO belonging to a wide range of audiences from the domains of optimization, engineering, medical, data mining and clustering. As well, it is wealthy in research on health, environment and public safety. …”
Get full text
-
19
Recent Advances of Chimp Optimization Algorithm: Variants and Applications
Published 2023“…The review paper will be helpful for the researchers and practitioners of ChOA belonging to a wide range of audiences from the domains of optimization, engineering, medical, data mining, and clustering. As well, it is wealthy in research on health, environment, and public safety. …”
Get full text
-
20
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Published 2024“…<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. …”
