[HTML][HTML] A review of industrial big data for decision making in intelligent manufacturing

C Li, Y Chen, Y Shang - … Science and Technology, an International Journal, 2022 - Elsevier
Under the trend of economic globalization, intelligent manufacturing has attracted a lot of
attention from academic and industry. Related enabling technologies make manufacturing …

Big data with cloud computing: Discussions and challenges

AK Sandhu - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
With the recent advancements in computer technologies, the amount of data available is
increasing day by day. However, excessive amounts of data create great challenges for …

A systematic review on big data applications and scope for industrial processing and healthcare sectors

K Rahul, RK Banyal, N Arora - Journal of Big Data, 2023 - Springer
Nowadays, big data is an emerging area of computer science. Data are generated through
different sources such as social media, e-commerce, blogs, banking, healthcare …

Pre-large based high utility pattern mining for transaction insertions in incremental database

H Kim, C Lee, T Ryu, H Kim, S Kim, B Vo… - Knowledge-Based …, 2023 - Elsevier
High utility pattern mining has been actively researched and applied to diverse applications
because it can process the database by considering the quantity and importance of items …

Deep neural network-based prediction and early warning of student grades and recommendations for similar learning approaches

T Tao, C Sun, Z Wu, J Yang, J Wang - Applied Sciences, 2022 - mdpi.com
Studies reported that if teachers can accurately predict students' follow-up learning effects
via data mining and other means, as per their current performances, and explore the …

Individual privacy in data mining using fuzzy optimization

HK Bhuyan, NK Kamila, SK Pani - Engineering Optimization, 2022 - Taylor & Francis
This article proposes the individual data privacy during collaborative computation in data
mining method using an optimization model. The privacy problem is solved using different …

Stratified linear systematic sampling based clustering approach for detection of financial risk group by mining of big data

KK Pandey, D Shukla - … Journal of System Assurance Engineering and …, 2022 - Springer
Risk analysis is one of the most essential business activities because it discovers unknown
risks such as financial risk, recovery risk, investment risk, operational risk, credit risk, debit …

Trust factor-based analysis of user behavior using sequential pattern mining for detecting intrusive transactions in databases

I Singh, R Jindal - The Journal of Supercomputing, 2023 - Springer
Organizations today are employing databases on a large scale to store data essential for
their functioning. Malicious access and modifications of the databases may lead to adverse …

ASCF: Optimization of the Apriori Algorithm Using Spark‐Based Cuckoo Filter Structure

BA Alrahwan, M Farouk - International Journal of Intelligent …, 2024 - Wiley Online Library
Data mining is the process used for extracting hidden patterns from large databases using a
variety of techniques. For example, in supermarkets, we can discover the items that are often …

A utility-based distributed pattern mining algorithm with reduced shuffle overhead

S Kumar, KK Mohbey - IEEE Transactions on Parallel and …, 2022 - ieeexplore.ieee.org
With the arrival of the current digital era and the advancement of information transmission
technologies, there has been an unprecedented rise in data. Efficient extraction of useful …