Generating synthetic data is useful in multiple application areas (eg, database testing, software testing). Nevertheless, existing synthetic data generators generally lack the …
H Hamidi, E Hashemzadeh - International Journal of Data …, 2017 - igi-global.com
This paper introduces a method for improving the association rules that will also help improve the performance of recommender systems. Combining sampling and parallelism in …
Generating synthetic data is useful in multiple application areas (eg, database testing, software testing). Nevertheless, existing synthetic data generators are either limited to …
Large amounts of data often require expensive and time-consuming analysis. Therefore, highly scalable and efficient techniques are necessary to process, analyze and discover …
This paper [1] presents a method to evaluate Value Generalisation Hierarchies—tree-like structures used in the data anonymisation process—with the aim of improving their …