Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
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-11,Issue-3. 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: :  Refrential Dissection of anomaly optimization techniques
PaperId: :  2042
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2042
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sumeet V. ShingiPES College of Engineering
Yogita S. PagarPES College of Engineering

Abstract

Computer Science and Engineering
Anomaly optimization, Statistical distribution , Distance-based, Density based
If the growth of data mining algorithms is observed keenly then it becomes easy to understand their success ratio for request to response activity. Right from the beginning, the focus has been the error that observed during the field study of different fields which come under different areas. This enhanced demand and the rate of successful implementation of such algorithms have proved a lot in order to provide the user a better accuracy in finding the appropriate outlier. This shows that resultants side is more advantageous for modern design of systems than that of ancient systems. While traversing through different aspects of data mining, it comes to knowledge that the previous work was focused on inventory disclosures among several data groupings. But soon after that, the new season shown drastic changes with respect to their point of view for number of several further operations that have been carried out which covers. This paper introduces all such application era of anomaly optimization methodologies and the way in which they are used.

Citations

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

IJARIIE Sumeet V. Shingi, and Yogita S. Pagar. "Refrential Dissection of anomaly optimization techniques" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 26-29
MLA Sumeet V. Shingi, and Yogita S. Pagar. "Refrential Dissection of anomaly optimization techniques." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 26-29.
APA Sumeet V. Shingi, & Yogita S. Pagar. (2016). Refrential Dissection of anomaly optimization techniques. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 26-29.
Chicago Sumeet V. Shingi, and Yogita S. Pagar. "Refrential Dissection of anomaly optimization techniques." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 26-29.
Oxford Sumeet V. Shingi, and Yogita S. Pagar. 'Refrential Dissection of anomaly optimization techniques', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 26-29. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Refrential_Dissection_of_anomaly_optimization_techniques_ijariie2042.pdf (Accessed : 01 November 2023).
Harvard Sumeet V. Shingi, and Yogita S. Pagar. (2016) 'Refrential Dissection of anomaly optimization techniques', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 26-29IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Refrential_Dissection_of_anomaly_optimization_techniques_ijariie2042.pdf (Accessed : 01 November 2023)
IEEE Sumeet V. Shingi, and Yogita S. Pagar, "Refrential Dissection of anomaly optimization techniques," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 26-29, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/Refrential_Dissection_of_anomaly_optimization_techniques_ijariie2042.pdf [Accessed : 01 November 2023].
Turabian Sumeet V. Shingi, and Yogita S. Pagar. "Refrential Dissection of anomaly optimization techniques." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 (01 November 2023).
Vancouver Sumeet V. Shingi, and Yogita S. Pagar. Refrential Dissection of anomaly optimization techniques. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 01 November 2023]; 2(3) : 26-29. Available from: https://ijariie.com/AdminUploadPdf/Refrential_Dissection_of_anomaly_optimization_techniques_ijariie2042.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 11/1/2023 11:09:30 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
AI-Assisted Fabrication of Functionalized Nanoparticles for Infectious Disease Treatmentmachine learningNandan Kumar Download
Deep Neural Networks for Enhancing Nanoparticle Drug Release Kineticsmachine learningPavan Gowda Download
Multiscale Modelling of Nano-Drug Interactions Using Artificial Intelligencemachine learningSandhya. S Download
AI-Powered Control Systems for Nanobots in Microbial Infection Zonesmachine learningPavan T.K Download
AI-Driven Discovery of Nanostructures That Disrupt Antibiotic-Resistant Biofilmsmachine learningManohar Jain Download
AI-Enhanced Biosensors for Real-Time Detection of Pathogens Using Nanomaterialsmachine learningFaisal Ahmed Download
Integrating Deep Learning with Nanotechnology for Virus Detectionmachine learningAkash Kumar Download
Predictive Modelling of Nanoparticle Interactions with the Human Microbiomemachine learningDr. Altaf Hussain Download
AI-Driven Optimization of Nanoparticle-Based Gene Delivery SystemsArtificial Intelligence (AI)Akshay Gowda Download
Crowd Density Prediction using Deep LearningComputer Science and EngineeringAbdul Jabbar Shaikh Download
HOMIGO – A FULL-STACK APPLICATIONComputer EngineeringProf. Somashekhar B M Download
Soldier Health Monitoring & Surveillance Robot using War field using IOTComputer EngineeringProf. Seema firdose Download
IAFP: An Intelligent Assignment Feedback Platform for Automated EvaluationComputer science and EngineeringDeepu G Download
A STUDY ON ROUTING PROTOCOLS IN VANETComputer ScienceS.GEETHA PRIYA Download
Wildlife Exploration AppComputer EngineeringK Sasi Kala Rani Download
12