Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.9 Issue.2

Submission
Last date
30-Apr-2023
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-9,Issue-2. 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

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

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
Survey on Election Prediction Using Machine Learning TechniqueComputer EngineeringTejas Kolambe Download
A SMART IOT BASED FARM MANAGEMENT SYSTEM CONTROLLED AND MONITORED BY WEB APPLICATIONComputer EngineeringTejas Chavan Download
APPLICATION FOR VISUALLY IMPAIRED PEOPLEComputer Engineering Prof. M. V. Korade Download
Utilization of Machine Learning for predicting the Stock Price of AmazonComputer EngineeringDr.S.Selvakani Download
CAR PARKING SPACE DETECTION BASED ON SVM CLASSIFICATIONComputer EngineeringMs.R.Savitha Download
An Android-Based Virtual Doctor System for Improving Access to Medical ConsultationComputer EngineeringMd. Atikur Rahman Download
Artificial Intelligence for good Governance : A Review for AI integration in Government AdministrationsEngineeringRaghwendra Singh Download
Driver Drowsiness Detection AlertComputer EngineeringKapil Gajanan Shitole Download
A Deep Learning Approach of Hate Speech and Offensive Language Detection on Twittercomputer engineeringAfaroz Alam Download
Detection of Breast Cancer from Histopathology image and Classifying Benign and Malignant State Using Machine learningComputer EngineeringDr. Amol Potgantwar Download
A Machine Learning Approach for Cross Script Named Entity Recognitioncomputer engineeringAnushka singh Download
A Deep Learning Approach of Hate Speech and Offensive Language Detection on Twitter -A REVIEWcomputer engineering Afaroz Alam Download
REST Assured for Automating APIs TestingComputer Science and EngineeringMs. Rekha Shelake Download
The Artificial Intelligence Impact on Software TestingComputer EngineeringSainath Asaram Bhad Download
An IoT-Based Intelligent System for Realtime Parking MonitoringComputer EngineeringProf. H. R. Agashe Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2023. IJARIIE. All Rights Reserved.