Review - Data Mining: An Overview from a Database Perspective

Overview of Intrusion Detection Techniques in Database

Data is one of the most valuable assets in today's world and is used in the everyday life of every person and organization. This data stores in a database in order to restore and maintain its efficiently. Since there is a database that can be exploited by SQL injection attacks, internal threats, and unknown threats, there are always concerns about the loss or alteration of data by unauthorized ...

Data Mining: An Overview from Database Perspective

Literature Review-Fathers of Children with Autism Spectrum Disorder

Objectives: The involvement of parents in raising children with autism spectrum disorder (ASD) is crucial for both the child's development and family functioning. However, studies relating to parental involvement in parenting children with ASD mainly focus on the mother's perspective, resulting in a lack of understanding of the father's role. On the other hand, the father involvement in parenti...

Data-Driven Approaches to Improve the Quality of Clinical Processes: A Systematic Review

Background: Considering the emergence of electronic health records and their related technologies, an increasing attention is paid to data driven approaches like machine learning, data mining, and process mining. The aim of this paper was to identify and classify these approaches to enhance the quality of clinical processes. Methods: In order to determine the knowledge related to the research ...

Temporal Databases and Frequent Pattern Mining Techniques

Data mining is the process of exploring and analyzing data from different perspective, using automatic or semiautomatic techniques to extract knowledge or useful information and discover correlations or meaningful patterns and rules from large databases. One of the most vital characteristic missed by the traditional data mining systems is their capability to record and process time-varying aspe...