Call for Papers:Vol.8 Issue.6

Submission
Last date		 31-Dec-2022
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-8,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  A MINING STRATEGY FOR MULTIPLE HIGH UTILITY ITEMSET
PaperId: :  4626
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4626
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof.S.KrishnamoorthiBharathiyar college of Engineering and Technology
R.SuganyaaBharathiyar college of Engineering and Technology

Abstract

Computer Engineering
Frequent itemset mining High utility itemsets, Top-K Utility item sets, Top-K utility item sets in One phase
High utility item sets (HUIs) mining is an emerging topic in data mining, which refers to discovering all itemsets having a utility meeting a user-specified minimum utility threshold min_util. Mining high utility itemsets from a transactional database refers to the discovery of itemsets with high utility like profits. The process of finding an appropriate High utility itemset based on threshold is a tedious process for users. If threshold is set too low, too many HUIs will be generated, which may cause the mining process to be very inefficient. On the other hand, if threshold is set too high, it is likely that no HUIs will be found. In this paper, the above issues overcome by proposing a new framework for Extended-top-k based on Frequent Itemset Mining(FIM) and High-Utility Itemset Mining(HUIM), where k is the desired number of HUIs to be mined. Two types of efficient algorithms named TKUI (mining Top-K Utility item sets) and TKOI (mining Top-K utility item sets in one phase) are proposed for mining such item sets without the need to set threshold.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Prof.S.Krishnamoorthi, and R.Suganyaa. "A MINING STRATEGY FOR MULTIPLE HIGH UTILITY ITEMSET" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 3465-3470
MLA Prof.S.Krishnamoorthi, and R.Suganyaa. "A MINING STRATEGY FOR MULTIPLE HIGH UTILITY ITEMSET." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 3465-3470.
APA Prof.S.Krishnamoorthi, & R.Suganyaa. (2017). A MINING STRATEGY FOR MULTIPLE HIGH UTILITY ITEMSET. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 3465-3470.
Chicago Prof.S.Krishnamoorthi, and R.Suganyaa. "A MINING STRATEGY FOR MULTIPLE HIGH UTILITY ITEMSET." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 3465-3470.
Oxford Prof.S.Krishnamoorthi, and R.Suganyaa. 'A MINING STRATEGY FOR MULTIPLE HIGH UTILITY ITEMSET', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 3465-3470. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/A_MINING_STRATEGY_FOR_MULTIPLE_HIGH_UTILITY_ITEMSET_ijariie4626.pdf (Accessed : ).
Harvard Prof.S.Krishnamoorthi, and R.Suganyaa. (2017) 'A MINING STRATEGY FOR MULTIPLE HIGH UTILITY ITEMSET', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 3465-3470IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/A_MINING_STRATEGY_FOR_MULTIPLE_HIGH_UTILITY_ITEMSET_ijariie4626.pdf (Accessed : )
IEEE Prof.S.Krishnamoorthi, and R.Suganyaa, "A MINING STRATEGY FOR MULTIPLE HIGH UTILITY ITEMSET," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 3465-3470, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/A_MINING_STRATEGY_FOR_MULTIPLE_HIGH_UTILITY_ITEMSET_ijariie4626.pdf [Accessed : ].
Turabian Prof.S.Krishnamoorthi, and R.Suganyaa. "A MINING STRATEGY FOR MULTIPLE HIGH UTILITY ITEMSET." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 ().
Vancouver Prof.S.Krishnamoorthi, and R.Suganyaa. A MINING STRATEGY FOR MULTIPLE HIGH UTILITY ITEMSET. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(2) : 3465-3470. Available from: http://ijariie.com/AdminUploadPdf/A_MINING_STRATEGY_FOR_MULTIPLE_HIGH_UTILITY_ITEMSET_ijariie4626.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
An IoT-Based Intelligent System for Realtime Parking MonitoringComputer EngineeringProf. H. R. Agashe Download
Development and Prototyping of Android Vehicle Maintenance Applications using Figma and KotlinComputer EngineeringAjub Ajulian Download
Effective Time Management in the Academic & Achievement of Students.Applied Science & Computer Engieering Prof: Prof Belkar Janardhan Ambadas1 Download
Dynamic Churn Prediction System using Machine Learning AlgorithmsComputer EngineeringProf. S. N. Bhadane Download
Distribution of occupied resources by fuzzy customers in a shared-resource systemCommunication engineering, computer engineering, production engineeringToky Basilide Ravaliminoarimalalason Download
Survey On Smart Taxi Booking SystemComputer EngineeringPrathmesh Gonjare Download
Survey Paper on Blockchain Based Crowd-sourcing Systems and automation of Question Paper GenerationComputer EngineeringAditi Polkam Download
Virtual Assistant using PythonComputer EngineeringVineet Gupta Download
QR CODE GENERATOR USING PYTHONComputer EngineeringKomal Bhika Mandal Download
“Mining the large Banking dataset by using K-means, DBSCAN and HAC in WEKA tool”COMPUTER ENGINEERINGJYOTI Download
Applying Data Mining Hybrid Classification Techniques and Decision Tree approach for Government Employee’s Performance PredictionComputer EngineeringNirvesh Kumar Download
PHISHING ATTACKS:RAISING AWARENESS AND DEFENDINGCOMPUTER ENGINEERING HARSH DILIP PARDESHI Download
Personal Data Storage and Security for Employee TrackingComputer EngineeringNikita Wagh Download
REINFORCEMENT OF INTRUSION DETECTION SYSTEM USING NEURAL NETWORK AND SVMCOMPUTER SCIENCE & ENGINEERINGMANSI JAIN Download
Reviews Evaluation for Online Courses: A Deep Learning Technique / ApproachComputer Engineering Dr. Shyamrao V. Gumaste Download
12