Trajectory Patterns Mining and Activity Monitoring for Wild Life based on Temporal Tightness
Abstract & Details
Research Area
Computer Engineering
Keywords
Trajectory Pattern mining
Synchronous movement patterns
Moving object trajectories
Trajectory Clustering
Abstract
Trajectories are sequence that contain the temporal and Spatial information about movements.It is more useful in learning interactions between moving objects.There are multiple solutions defined in the previous methods those are inefficient and inconsistent due to it developed for specific type of trajectory patterns.Usually,user doesn't have an idea about which type of trajectories are hidden in their datasets therefore discovery of pattern get tedious task.Many trajectory patterns are arranged with respect to temporal and potential restrictions.Unifying patterns are nothing but mining trajectory patterns of various temporal tightness.It has two phases first one is to discover the detail level of patterns and another is to construct a forest that represents the various patterns.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Pallavi Rajendra Pathare | Pravara Rural College of Engineering,Loni |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Pathare, Pallavi Rajendra (2017). Trajectory Patterns Mining and Activity Monitoring for Wild Life based on Temporal Tightness. International Journal of Advance Research and Innovative Ideas In Education, 3(1), 1203-1208.
MLA Style
Pathare, Pallavi Rajendra. "Trajectory Patterns Mining and Activity Monitoring for Wild Life based on Temporal Tightness." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, 2017, pp. 1203-1208.
IEEE Style
Pallavi Rajendra Pathare, "Trajectory Patterns Mining and Activity Monitoring for Wild Life based on Temporal Tightness," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, pp. 1203-1208, 2017.
Vancouver Style
Pathare Pallavi Rajendra. Trajectory Patterns Mining and Activity Monitoring for Wild Life based on Temporal Tightness. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(1):1203-1208.
Harvard Style
Pathare, Pallavi Rajendra (2017) 'Trajectory Patterns Mining and Activity Monitoring for Wild Life based on Temporal Tightness', International Journal of Advance Research and Innovative Ideas In Education, 3(1), pp. 1203-1208.
Chicago Style
Pathare, Pallavi Rajendra. "Trajectory Patterns Mining and Activity Monitoring for Wild Life based on Temporal Tightness." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1203-1208.
Turabian Style
Pathare, Pallavi Rajendra. "Trajectory Patterns Mining and Activity Monitoring for Wild Life based on Temporal Tightness." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1203-1208.
Related Research
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
PDF Unavailable
Civic Engagement & Empowerment Platform
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
PDF Unavailable
Employee Performance Portal
PDF Unavailable