Handbook of research on automated feature engineering and advanced applications in data science / Mrutyunjaya Panda, Harekrishna Misra.

Format:

Book

Author/Creator:

Panda, Mrutyunjaya, author.

Misra, Harekrishna, author.

Language:

English

Subjects (All):

Automatic classification.

Physical Description:

28 PDFs (392 pages)

Place of Publication:

Engineering Science Reference

Hershey, Pennsylvania : IGI Global, [2021]

System Details:

Mode of access: World Wide Web.

Summary:

"This edited book will start with an introduction to feature engineering and then move onto recent concepts, methods and applications with the use of various data types that includes : text, image, streaming data, social network data, financial data, biomedical data, bioinformatics etc. to help readers gain insight into how features can be extracted and transformed from raw data"-- Provided by publisher.

Contents:

Chapter 1. Feature engineering for various data types in data science

Chapter 2. Feature selection techniques in high dimensional data with machine learning and deep learning

Chapter 3. Hybrid attributes technique filter for the tracking of crowd behavior

Chapter 4. Useful features for computer-aided diagnosis systems for melanoma detection using dermoscopic images

Chapter 5. Development of rainfall prediction models using machine learning approaches for different agro-climatic zones

Chapter 6. Multi-feature fusion and machine learning: a model for early detection of freezing of gait events in patients with Parkinson's disease

Chapter 7. Developing brain tumor detection model using deep feature extraction via transfer learning

Chapter 8. Feature engineering for structural health monitoring (SHM): a damage characterization review

Chapter 9. Speech enhancement using neuro-fuzzy classifier

Chapter 10. Applications of feature engineering techniques for text data

Chapter 11. Deep learning for feature engineering-based improved weather prediction: a predictive modeling

Chapter 12. Computationally efficient and effective machine learning model using time series data in different prediction problems

Chapter 13. Machine learning and convolution neural network approaches to plant leaf recognition

Chapter 14. Reciprocation of Indian States on trade relation

Chapter 15. Performance evaluation of machine learning techniques for customer churn prediction in telecommunication sector

Chapter 16. Efficient software reliability prediction with evolutionary virtual data position exploration

Chapter 17. Secure chaotic image encryption based on multi-point row-column-crossover operation

Chapter 18. Machine automation making cyber-policy violator more resilient: a proportionate study.

Notes:

Description based on title screen (IGI Global, viewed 12/12/2020).

Includes bibliographical references and index.

Description based on print version record.

Includes index.

ISBN:

9781799866619

1799866610

OCLC:

1226612054