A Survey on Actionable Knowledge

TL;DR

This survey comprehensively reviews the current state of Actionable Knowledge Discovery (AKD), highlighting various methods, their applications across domains, and evaluating their advantages and disadvantages to guide future research.

Contribution

It provides a detailed overview of AKD techniques, analyzes their effectiveness across domains, and discusses recent innovations and challenges in the field.

Findings

AKD techniques vary significantly across domains.

Certain methods show higher effectiveness in healthcare and finance.

The paper identifies gaps and future directions in AKD research.

Abstract

Actionable Knowledge Discovery (AKD) is a crucial aspect of data mining that is gaining popularity and being applied in a wide range of domains. This is because AKD can extract valuable insights and information, also known as knowledge, from large datasets. The goal of this paper is to examine different research studies that focus on various domains and have different objectives. The paper will review and discuss the methods used in these studies in detail. AKD is a process of identifying and extracting actionable insights from data, which can be used to make informed decisions and improve business outcomes. It is a powerful tool for uncovering patterns and trends in data that can be used for various applications such as customer relationship management, marketing, and fraud detection. The research studies reviewed in this paper will explore different techniques and approaches for AKD in different domains, such as healthcare, finance, and telecommunications. The paper will provide a thorough analysis of the current state of AKD in the field and will review the main methods used by various research studies. Additionally, the paper will evaluate the advantages and disadvantages of each method and will discuss any novel or new solutions presented in the field. Overall, this paper aims to provide a comprehensive overview of the methods and techniques used in AKD and the impact they have on different domains.