Web Mining Export

@misc{citeulike:181748, abstract = {The World-Wide Web provides every internet citizen with access to an abundance of information, but it becomes increasingly difficult to identify the relevant pieces of information. Research in web mining tries to address this problem by applying techniques from data mining and machine learning to Web data and documents. This chapter provides a brief overview of web mining techniques and research areas, most notably hypertext classification, wrapper induction, recommender systems and web usage...}, author = {Furnkranz, Johannes}, citeulike-article-id = {181748}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.2029}, keywords = {datos, mineria}, posted-at = {2005-11-30 18:44:24}, priority = {5}, title = {Web Mining}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.2029} }

TY - GEN ID - citeulike:181748 L3 - citeulike-article-id:181748 N2 - The World-Wide Web provides every internet citizen with access to an abundance of information, but it becomes increasingly difficult to identify the relevant pieces of information. Research in web mining tries to address this problem by applying techniques from data mining and machine learning to Web data and documents. This chapter provides a brief overview of web mining techniques and research areas, most notably hypertext classification, wrapper induction, recommender systems and web usage... TI - Web Mining KW - datos KW - mineria AU - Furnkranz, Johannes UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.2029 ER -