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Call For Paper
The (ICFEED) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.
With a strong focus on Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.
Authors are invited to submit papers addressing, but not limited to, the following areas:
01
Feature engineering techniques for engineering datasets
02
Importance of feature selection in data science
03
Case studies of feature engineering in practice
04
Automated feature extraction methods
05
Challenges in high-dimensional feature spaces
06
Feature engineering for time series data
07
Applications of domain knowledge in feature design
08
Feature engineering for machine learning models
09
Visualization techniques for feature analysis
10
Impact of feature engineering on model performance
11
Future trends in feature engineering practices
12
User experience design for feature engineering tools
13
Ethical considerations in feature selection
14
Collaborative feature engineering approaches
15
Scalability issues in feature engineering
16
Integrating feature engineering with data pipelines
17
Data quality issues in feature engineering
18
Frameworks for evaluating feature importance
19
Real-time feature engineering for streaming data
20
Interdisciplinary approaches to feature engineering
Peer Review Process
All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.
Registration Details
Secure your participation early. Limited slots are allocated on a first-come, first-served basis.
Publication Opportunities
High-quality submissions prioritized for publication in recognized journals and proceedings.