Data Mining and Analysis: Fundamental Concepts and Algorithms
Rensselaer Polytechnic Institute · Universidade Federal de Minas Gerais
Abstract
The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and also covers cutting-edge topics such as kernel methods,…
Citation impact
- FWCI
- 68.70
- Percentile
- 100%
- References
- 136
Authors
2Topics & keywords
- Computer science
- Data science
- Exploratory data analysis
- Data stream mining
- Analytics
- Cluster analysis
- Data analysis
- Key (lock)