Trust factor-based analysis of user behavior using sequential pattern mining for detecting intrusive transactions in databases
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 …
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 …
variety of techniques. For example, in supermarkets, we can discover the items that are often …
Optimization of the join between large tables in the spark distributed framework
X Wu, Y He - Applied Sciences, 2023 - mdpi.com
The Join task between Spark large tables takes a long time to run and produces a lot of disk
I/O, network I/O and disk occupation in the Shuffle process. This paper proposes a …
I/O, network I/O and disk occupation in the Shuffle process. This paper proposes a …
[PDF][PDF] Research Article ASCF: Optimization of the Apriori Algorithm Using Spark-Based Cuckoo Filter Structure
BA Alrahwan, M Farouk - 2024 - academia.edu
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 …
variety of techniques. For example, in supermarkets, we can discover the items that are often …