Educational data mining: A survey and a data mining-based analysis of recent works
A Peña-Ayala - Expert systems with applications, 2014 - Elsevier
This review pursues a twofold goal, the first is to preserve and enhance the chronicles of
recent educational data mining (EDM) advances development; the second is to organize …
recent educational data mining (EDM) advances development; the second is to organize …
Particle swarm optimization feature selection for breast cancer recurrence prediction
Women who have recovered from breast cancer (BC) always fear its recurrence. The fact
that they have endured the painstaking treatment makes recurrence their greatest fear …
that they have endured the painstaking treatment makes recurrence their greatest fear …
An overview of energy demand forecasting methods published in 2005–2015
The importance of energy demand management has been more vital in recent decades as
the resources are getting less, emission is getting more and developments in applying …
the resources are getting less, emission is getting more and developments in applying …
Industry 4.0 and demand forecasting of the energy supply chain: A literature review
The number of publications in demand forecasting of the energy supply chain augmented
meaningfully due to the 2008 global financial crisis and its consequence on the global …
meaningfully due to the 2008 global financial crisis and its consequence on the global …
Neutrosophic association rule mining algorithm for big data analysis
M Abdel-Basset, M Mohamed, F Smarandache… - Symmetry, 2018 - mdpi.com
Big Data is a large-sized and complex dataset, which cannot be managed using traditional
data processing tools. Mining process of big data is the ability to extract valuable information …
data processing tools. Mining process of big data is the ability to extract valuable information …
Water demand forecasting: review of soft computing methods
Demand forecasting plays a vital role in resource management for governments and private
companies. Considering the scarcity of water and its inherent constraints, demand …
companies. Considering the scarcity of water and its inherent constraints, demand …
Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing
This paper presents a genetic fuzzy system for the data mining task of subgroup discovery,
the subgroup discovery iterative genetic algorithm (SDIGA), which obtains fuzzy rules for …
the subgroup discovery iterative genetic algorithm (SDIGA), which obtains fuzzy rules for …
A review on unsupervised learning algorithms and applications in supply chain management
Due to pressing challenges such as high market volatility, complex global logistics,
geopolitical turmoil and environmental sustainability, compounded by radical events such as …
geopolitical turmoil and environmental sustainability, compounded by radical events such as …
Techniques, process, and enterprise solutions of business intelligence
L Zeng, L Xu, Z Shi, M Wang… - 2006 IEEE international …, 2006 - ieeexplore.ieee.org
Business Intelligence (BI) has been viewed as sets of powerful tools and approaches to
improving business executive decision-making, business operations, and increasing the …
improving business executive decision-making, business operations, and increasing the …