Web Usage Mining Techniques and Applications Across Industries
Seiten
2016
Information Science Reference (Verlag)
978-1-5225-0613-3 (ISBN)
Information Science Reference (Verlag)
978-1-5225-0613-3 (ISBN)
Addresses the systems and methodologies that enable organisations to predict web user behaviour as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students.
Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries.
Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.
Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries.
Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.
A.V. Senthil Kumar, Hindusthan College of Arts and Science, India.
| Erscheinungsdatum | 02.09.2016 |
|---|---|
| Reihe/Serie | Advances in Data Mining and Database Management |
| Verlagsort | Hershey |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 1358 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Technik | |
| ISBN-10 | 1-5225-0613-6 / 1522506136 |
| ISBN-13 | 978-1-5225-0613-3 / 9781522506133 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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