Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semi-structured and unstructured nature of the Web data.
| Brand | Springer |
| Level | Advanced |
| Edition | Second Edition |
| ISBN | 9783642268915 |
| Country Of Origin | United States |
| Number Of Pages | Xx, 624 Pages |
| Language | English |
| Item Height | 0.5 in |
| Publication Year | 2013 |
| Item Weight | 34.3 Oz |
| Type | Textbook |
| Author | Bing Liu |
| Item Length | 9.3 in |
| Subject Area | Mathematics, Computers |
| Item Width | 6.1 in |
| Format | Trade Paperback |
Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semi-structured and unstructured nature of the Web data.