Aggarwal, Charu C.
Data Classification: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
- ISBN 13:
- 9780367659141
- author:
- Aggarwal, Charu C.
- format:
- Paperback / softback
- publisher:
- CRC Press
- language:
- English
- Publication Year:
- 2020
- Pages:
- 707
- Dimensions:
- 25.4 x 17.8 centimeters (1.31 kg
- Genre:
- Computers, Entertainment & Games, Games Programming,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Data Classification Algorithms and Applications by Charu C. Aggarwal provides a comprehensive overview of classification techniques and their applications in various problem domains. The book explores three primary aspects of data classification: methods, domains, and variations. Common classification techniques are described, including probabilistic methods, decision trees, rule-based methods, instance-based methods, support vector machine methods, and neural networks. Specific methods used for different data domains, such as multimedia, text, time-series, network, discrete sequence, and uncertain data, are also examined. The book covers large data sets and data streams due to the recent importance of the big data paradigm. Insight is gained into variations of the classification process, including ensembles, rare-class learning, distance function learning, active learning, visual learning, transfer learning, and semi-supervised learning. This comprehensive resource is ideal for those seeking a thorough understanding of classification algorithms and their applications in various fields.
Related Products
Related Products
Data Mining with R: Learning with Case Studies, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Torgo, Luis
Data Mining with Python: Theory, Application, and Case Studies (Chapman & Hall/CRC The Python Series)
Wu, Di
Statistics and Data Visualisation with Python (Chapman & Hall/CRC The Python Series)
RogelSalazar, Jesus
Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)
Ulrich (Assistant Professor of Economics at Uni of St. G Matter
Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)
Woodward, Wayne A. (Southern Methodist University, Dallas, Texas