Abstract
Finding High Utility Itemsets (HUIs) is one of the major problems in the area of frequent itemsets mining. However, HUIs mine lots of redundant itemsets which degrade the performance and importance of high utility itemsets mining. For overcoming this limitation, closed HUIs mining has been proposed. Closed high utility itemsets mining finds complete and non-redundant itemsets. In this paper, we give recent studies on closed high utility itemsets mining algorithms. The main goal of this survey is to provide recent studies and future research opportunities. We give taxonomy of closed high utility itemsets mining algorithms. This paper provides a rough outline of the recent work and gives a general view of closed high utility itemsets mining field.
Keywords: High utility itemsets mining, utility mining, lossless and concise representation, closed itemset, frequent itemset mining, transaction weighted utility.
Recent Advances in Computer Science and Communications
Title:Mining of Closed High Utility Itemsets: A Survey
Volume: 14 Issue: 1
Author(s): Kuldeep Singh*, Shashank S. Singh, Ashish K. Luhach, Ajay Kumar and Bhaskar Biswas
Affiliation:
- Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi 221005,India
Keywords: High utility itemsets mining, utility mining, lossless and concise representation, closed itemset, frequent itemset mining, transaction weighted utility.
Abstract: Finding High Utility Itemsets (HUIs) is one of the major problems in the area of frequent itemsets mining. However, HUIs mine lots of redundant itemsets which degrade the performance and importance of high utility itemsets mining. For overcoming this limitation, closed HUIs mining has been proposed. Closed high utility itemsets mining finds complete and non-redundant itemsets. In this paper, we give recent studies on closed high utility itemsets mining algorithms. The main goal of this survey is to provide recent studies and future research opportunities. We give taxonomy of closed high utility itemsets mining algorithms. This paper provides a rough outline of the recent work and gives a general view of closed high utility itemsets mining field.
Export Options
About this article
Cite this article as:
Singh Kuldeep *, Singh S. Shashank , Luhach K. Ashish , Kumar Ajay and Biswas Bhaskar , Mining of Closed High Utility Itemsets: A Survey, Recent Advances in Computer Science and Communications 2021; 14 (1) . https://dx.doi.org/10.2174/2213275912666190204134822
DOI https://dx.doi.org/10.2174/2213275912666190204134822 |
Print ISSN 2666-2558 |
Publisher Name Bentham Science Publisher |
Online ISSN 2666-2566 |
Call for Papers in Thematic Issues
?The New Era of Computational Intelligence: Big Data Applications in Health Care?
Analyzing healthcare data has remained a tedious task for data analysts in the current age of research due the nonlinear nature of data. With data sources multiplying and their complexity rising, the most common challenge for medical analysts today is obtaining relevant data for those that need it. The challenge ...read more
Advanced Applications of Artificial Intelligence in Manufacturing Technologies
As one of the most advanced fields of study and technology in existence today, artificial intelligence (AI) is finding more and more applications in production and daily life, especially in the industrial sector. This showcases the many applications of AI in mechanical production, including but not limited to: improving worker ...read more
Advancements in AI and Machine Learning for Enhanced Computer Vision Applications
This special thematic issue is meticulously crafted to provide an extensive exploration of the intricate interplay between Artificial Intelligence (AI) and Machine Learning (ML) within the expansive domain of Computer Vision. The scope of this issue is ambitiously designed to cover a diverse range of topics, incorporating cutting-edge research, advanced ...read more
Advancing Computer Vision and Multimedia Communication for Seamless Human-Machine Interaction
The rapid advancements in computer vision and multimedia communication technologies are revolutionizing the way humans interact with machines. These technologies have the potential to enable seamless and natural human-machine interaction, creating new possibilities for communication, collaboration, and entertainment. The findings will have a significant impact on the development of new ...read more
Related Journals
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers