Skip to main navigation
Skip to search
Skip to main content
Manipal Academy of Higher Education, Manipal, India Home
Help & FAQ
Link opens in a new tab
Search content at Manipal Academy of Higher Education, Manipal, India
Home
Profiles
Research units
Research output
Equipment
PAACDA: Comprehensive Data Corruption Detection Algorithm
Charvi Bannur
, Chaitra Bhat
, Kushagra Singh
,
Shrirang Ambaji Kulkarni
*
, Mrityunjay Doddamani
*
Corresponding author for this work
School of Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'PAACDA: Comprehensive Data Corruption Detection Algorithm'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Unsupervised Learning
100%
Data Corruption
100%
Detection Algorithm
100%
Utmost Importance
50%
K-Means Clustering
50%
Performance Issue
50%
Stepping Stone
50%
Technology Data
50%
Local Outlier Factor
50%
Clustered Data
50%
Learning Algorithm
50%
Deep Learning Method
50%
Machine Learning
50%
Learning System
50%
Data Processing
50%
INIS
data
100%
detection
100%
algorithms
100%
learning
30%
datasets
30%
accuracy
20%
forests
20%
levels
10%
performance
10%
applications
10%
exploration
10%
values
10%
density
10%
tuning
10%
noise
10%
data processing
10%
benchmarks
10%
Earth and Planetary Sciences
State of the Art
100%
Research Work
100%
Data Transmission
100%