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EnglishData mining studies the problems related to data analysis and extraction of knowledge implicitly stored in massive data sets. This field emerged in the late 1980s as a multidisciplinary field with contributions from the areas of databases, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge acquisition, information retrieval, high-performance computing and data visualization. The book, written by some of the main exponents of the database and data mining research fields, discusses the principles and presents data mining from a database perspective. Nevertheless, it includes the necessary notions of statistics, pattern recognition and machine learning.
| Titolo: | Book review: Jiawei Han and Micheline Kamber. Data Mining: concepts and techniques. | |
| Autori Riconosciuti: | ||
| Autori: | R. Meo | |
| Data di pubblicazione: | 2003 | |
| Abstract: | Data mining studies the problems related to data analysis and extraction of knowledge implicitly stored in massive data sets. This field emerged in the late 1980s as a multidisciplinary field with contributions from the areas of databases, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge acquisition, information retrieval, high-performance computing and data visualization. The book, written by some of the main exponents of the database and data mining research fields, discusses the principles and presents data mining from a database perspective. Nevertheless, it includes the necessary notions of statistics, pattern recognition and machine learning. | |
| Volume: | 46 | |
| Pagina iniziale: | 223 | |
| Pagina finale: | 223 | |
| Digital Object Identifier (DOI): | 10.1093/comjnl/46.2.223 | |
| URL: | http://comjnl.oxfordjournals.org/content/vol46/issue2/index.dtl | |
| Parole Chiave: | Data Mining | |
| Rivista: | COMPUTER JOURNAL | |
| Appare nelle tipologie: | 03D-Recensione in Rivista |
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