Exploring Advances in Interdisciplinary Data Mining and Analytics
New Trends
Seiten
2011
Business Science Reference (Verlag)
978-1-61350-474-1 (ISBN)
Business Science Reference (Verlag)
978-1-61350-474-1 (ISBN)
Provides an updated look at the state of technology in the field of data mining and analytics. As processor speeds, database size, network capabilities, artificial intelligence, and most fields of hardware and software continue to improve at a staggering rate of increased capability and pace, it is vital for practitioners to stay abreast of the current issues and research in the field.
Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends is an updated look at the state of technology in the field of data mining and analytics. As processor speeds, database size, network capabilities, artificial intelligence, and most fields of hardware and software continue to improve at a staggering rate of increased capability and pace, it is vital for practitioners to stay abreast of the current issues and research in the field. This volume is perfect for IT specialists, data analysts, practitioners and academics alike, offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining.
Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends is an updated look at the state of technology in the field of data mining and analytics. As processor speeds, database size, network capabilities, artificial intelligence, and most fields of hardware and software continue to improve at a staggering rate of increased capability and pace, it is vital for practitioners to stay abreast of the current issues and research in the field. This volume is perfect for IT specialists, data analysts, practitioners and academics alike, offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining.
Verlagsort | Hershey |
---|---|
Sprache | englisch |
Gewicht | 1100 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
ISBN-10 | 1-61350-474-8 / 1613504748 |
ISBN-13 | 978-1-61350-474-1 / 9781613504741 |
Zustand | Neuware |
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