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Sprache:
Englisch
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Beschreibung
Provides a comprehensive textbook covering theory and practical examples for a course on data mining and data warehousing.
Provides a comprehensive textbook covering theory and practical examples for a course on data mining and data warehousing.
Über den Autor
Parteek Bhatia is an associate professor in the department of computer science and engineering at Thapar Institute of Engineering and Technology, Patiala. He has more than twenty years of teaching experience and has published papers in journals. His current research includes natural language processing, machine learning and human computer interface. He has taught courses including data mining and data warehousing, big data analysis and database management system at undergraduate and graduate levels.
Inhaltsverzeichnis
Preface; Acknowledgement; Dedication; 1. Beginning with machine learning; 2. Introduction to data mining; 3. Beginning with Weka and R language; 4. Data pre-processing; 5. Classification; 6. Implementing classification in Weka and R; 7. Cluster analysis; 8. Implementing clustering with Weka and R; 9. Association mining; 10. Implementing association mining with Weka and R; 11. Web mining and search engine; 12. Operational data store and data warehouse; 13. Data warehouse schema; 14. Online analytical processing; 15. Big data and NoSQL; Reference; Index.
Details
Erscheinungsjahr: | 2019 |
---|---|
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9781108727747 |
ISBN-10: | 1108727743 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Bhatia, Parteek |
Hersteller: | Cambridge University Press |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 246 x 189 x 27 mm |
Von/Mit: | Parteek Bhatia |
Erscheinungsdatum: | 15.08.2019 |
Gewicht: | 0,98 kg |
Über den Autor
Parteek Bhatia is an associate professor in the department of computer science and engineering at Thapar Institute of Engineering and Technology, Patiala. He has more than twenty years of teaching experience and has published papers in journals. His current research includes natural language processing, machine learning and human computer interface. He has taught courses including data mining and data warehousing, big data analysis and database management system at undergraduate and graduate levels.
Inhaltsverzeichnis
Preface; Acknowledgement; Dedication; 1. Beginning with machine learning; 2. Introduction to data mining; 3. Beginning with Weka and R language; 4. Data pre-processing; 5. Classification; 6. Implementing classification in Weka and R; 7. Cluster analysis; 8. Implementing clustering with Weka and R; 9. Association mining; 10. Implementing association mining with Weka and R; 11. Web mining and search engine; 12. Operational data store and data warehouse; 13. Data warehouse schema; 14. Online analytical processing; 15. Big data and NoSQL; Reference; Index.
Details
Erscheinungsjahr: | 2019 |
---|---|
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9781108727747 |
ISBN-10: | 1108727743 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Bhatia, Parteek |
Hersteller: | Cambridge University Press |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 246 x 189 x 27 mm |
Von/Mit: | Parteek Bhatia |
Erscheinungsdatum: | 15.08.2019 |
Gewicht: | 0,98 kg |
Sicherheitshinweis