An Improved Framework for Outlier Periodic Pattern Detection in Time Series Using Walmart Transaction Data

December 2015
Vol-1, Issue-5
Paper ID: 1496
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Enginnering
Keywords
outlier periodic occurrence vector spatio temporal confidence periodicity MAD.
Abstract
Periodic pattern detection in time-series is one of the most important data mining task. The periodicity detection of an outlier patterns might be more important than the periodicity of regular, more frequent patterns means periodic pattern .periodic patterns means Patterns which repeat over a period of time. Pattern those which occur unusually or surprisingly called as Outlier Pattern. In this paper ,we present the development of a enhanced spatio-temporal algorithm capable of detecting the periodicity of outlier patterns in a time series using Walmart transaction data and MAD (Median Absolute Deviation) is presented. mean values is used in existing algorithm which is not efficient. We have to use MAD which increases the output of these algorithms and gives more accurate information.
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

# Name Institute / Affiliation
1 Sulochana Madhukar Gagare Vishwabharti Academy College Of Engineering Ahmednagar
2 S.B.Natikar Vishwabharti Academy College Of Engineering Ahmednagar

How to Cite

Use the following formats to cite this article in your research.

APA Style
Gagare, Sulochana Madhukar & S.B.Natikar (2015). An Improved Framework for Outlier Periodic Pattern Detection in Time Series Using Walmart Transaction Data. International Journal of Advance Research and Innovative Ideas In Education, 1(5), 680-686.
MLA Style
Gagare, Sulochana Madhukar, and S.B.Natikar. "An Improved Framework for Outlier Periodic Pattern Detection in Time Series Using Walmart Transaction Data." International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 5, 2015, pp. 680-686.
IEEE Style
Sulochana Madhukar Gagare and S.B.Natikar, "An Improved Framework for Outlier Periodic Pattern Detection in Time Series Using Walmart Transaction Data," International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 5, pp. 680-686, 2015.
Vancouver Style
Gagare Sulochana Madhukar, S.B.Natikar. An Improved Framework for Outlier Periodic Pattern Detection in Time Series Using Walmart Transaction Data. International Journal of Advance Research and Innovative Ideas In Education. 2015;1(5):680-686.
Harvard Style
Gagare, Sulochana Madhukar & S.B.Natikar (2015) 'An Improved Framework for Outlier Periodic Pattern Detection in Time Series Using Walmart Transaction Data', International Journal of Advance Research and Innovative Ideas In Education, 1(5), pp. 680-686.
Chicago Style
Gagare, Sulochana Madhukar and S.B.Natikar. "An Improved Framework for Outlier Periodic Pattern Detection in Time Series Using Walmart Transaction Data." International Journal of Advance Research and Innovative Ideas In Education 1, no. 5 (2015): 680-686.
Turabian Style
Gagare, Sulochana Madhukar and S.B.Natikar. "An Improved Framework for Outlier Periodic Pattern Detection in Time Series Using Walmart Transaction Data." International Journal of Advance Research and Innovative Ideas In Education 1, no. 5 (2015): 680-686.

Export Citation

Related Research

Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
Amruta Bargal et al. 2026 Data science
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
Amruta Bargal et al. 2026 Data science
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
Diksha Patil 2026 Technology
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable