Call for Papers:Vol.11 Issue.4

Submission
Last date		 28-Aug-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-4. 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 Review on Cluster Creation for High Dimensional Discrete Data And Pattern Based Anomalous Topic Discovery
PaperId: :  3713
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 1 2017
DUI:    16.0415/IJARIIE-3713
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Urwashi Virbhan PatilAmrutvahini College Of Engineering,Sangamner,
Prof.M.B.VaidyaAmrutvahini College Of Engineering,Sangamner,

Abstract

Computer Engineering
Anomaly Detection, Pattern Detection, Topic Models, Topic Discovery
Generally, discovering of an abnormal data i.e. anomalies from discrete data leads towards the better understanding of atypical behavior of patterns and to identify the root of anomalies. Anomalies can be defined as the patterns that do not have normal behavior. It is also called as outlier detection. Anomaly detection techniques are mainly used for fraud detection in credit cards, bank fraud, network intrusion [15] etc. It can be referred as, novelties, deviation, exceptions or outlier. Such type of patterns cannot be observed to the analytical definition of an outlier, as unusual object till it has been integrated properly. A cluster analysis method is used to detect micro clusters formed by these anomalies. There are various methods existed for detecting anomalies from datasets which only detects the individual anomalies. Problem with individual anomaly detection technique that detects anomalies using the entire features typically fail to detect such anomalies. A method to detect cluster of anomalous data combine manifest atypical section of a small subset of features. This method uses a null model to for typical topic and then separate test to detect all clusters of abnormal patterns.

Citations

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

IJARIIE Urwashi Virbhan Patil, and Prof.M.B.Vaidya. "A Review on Cluster Creation for High Dimensional Discrete Data And Pattern Based Anomalous Topic Discovery" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 1 2017 Page 708-713
MLA Urwashi Virbhan Patil, and Prof.M.B.Vaidya. "A Review on Cluster Creation for High Dimensional Discrete Data And Pattern Based Anomalous Topic Discovery." International Journal Of Advance Research And Innovative Ideas In Education 3.1(2017) : 708-713.
APA Urwashi Virbhan Patil, & Prof.M.B.Vaidya. (2017). A Review on Cluster Creation for High Dimensional Discrete Data And Pattern Based Anomalous Topic Discovery. International Journal Of Advance Research And Innovative Ideas In Education, 3(1), 708-713.
Chicago Urwashi Virbhan Patil, and Prof.M.B.Vaidya. "A Review on Cluster Creation for High Dimensional Discrete Data And Pattern Based Anomalous Topic Discovery." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 1 (2017) : 708-713.
Oxford Urwashi Virbhan Patil, and Prof.M.B.Vaidya. 'A Review on Cluster Creation for High Dimensional Discrete Data And Pattern Based Anomalous Topic Discovery', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, 2017, p. 708-713. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/A_Review_on_Cluster_Creation_for_High_Dimensional_Discrete_Data_And_Pattern_Based_Anomalous_Topic_Discovery_ijariie3713.pdf (Accessed : ).
Harvard Urwashi Virbhan Patil, and Prof.M.B.Vaidya. (2017) 'A Review on Cluster Creation for High Dimensional Discrete Data And Pattern Based Anomalous Topic Discovery', International Journal Of Advance Research And Innovative Ideas In Education, 3(1), pp. 708-713IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/A_Review_on_Cluster_Creation_for_High_Dimensional_Discrete_Data_And_Pattern_Based_Anomalous_Topic_Discovery_ijariie3713.pdf (Accessed : )
IEEE Urwashi Virbhan Patil, and Prof.M.B.Vaidya, "A Review on Cluster Creation for High Dimensional Discrete Data And Pattern Based Anomalous Topic Discovery," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, pp. 708-713, Jan-Feb 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/A_Review_on_Cluster_Creation_for_High_Dimensional_Discrete_Data_And_Pattern_Based_Anomalous_Topic_Discovery_ijariie3713.pdf [Accessed : ].
Turabian Urwashi Virbhan Patil, and Prof.M.B.Vaidya. "A Review on Cluster Creation for High Dimensional Discrete Data And Pattern Based Anomalous Topic Discovery." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 1 ().
Vancouver Urwashi Virbhan Patil, and Prof.M.B.Vaidya. A Review on Cluster Creation for High Dimensional Discrete Data And Pattern Based Anomalous Topic Discovery. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(1) : 708-713. Available from: http://ijariie.com/AdminUploadPdf/A_Review_on_Cluster_Creation_for_High_Dimensional_Discrete_Data_And_Pattern_Based_Anomalous_Topic_Discovery_ijariie3713.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
IoT Home Automation: Urban, Rural, and Elderly Care PerspectivesComputer EngineeringNandini KP Download
Securing Data in CloudComputer EngineeringJeevith M Download
A Review of Automated Plant Disease Detection Using Camera-Based Systems for Scalable Farm AutomationComputer EngineeringMohammed Taha Ahmed Download
ENHANCE ETHANOL PURITY WITH TEA POWDER ADSORBTIVE DISTILLATION.Chemical EngineeringKatore Tejas Download
IOT Enabled Smart Helmet For Miners SafetyComputer EngineeringDhruv Verma Download
Deep Learning Based Web Application for Hand Sign RecognitionComputer Engineering Mrs.Sonali Salunkhe Download
WIREFRAME INTERPRETATION AND FRONTEND CODE GENERATIONComputer EngineeringK. Archana Download
NEXT-GENERATION FIREWALLS: ADVANCING NETWORK SECURITY TO COMBAT EVOLVING AND SOPHISTICATED CYBER THREATSSecurity Network EngineerVenkata Surya Teja Gollapalli Download
Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart HospitalsComputer ScienceVisrutatma Rao Vallu Download
Enhancing E-Commerce Transaction Security with Big Data Analytics in Cloud ComputingCloud ComputingRajani Priya Nippatla Download
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
12