PEBL: Positive Example-Based Learning for Web Page Classification Using SVM

@misc{citeulike:966292, abstract = {for Web mining. Specifically, classifying Web pages of a user-interesting class is the first step of mining interesting information from the Web. However, constructing a classifier for an interesting class requires laborious pre-processing such as collecting positive and negative training examples. For instance, in order to construct a \"homepage\" classifier, one needs to collect a sample of homepages (positive examples) and a sample of non-homepages (negative examples). In particular,...}, author = {Yu, H. and Han, J. and K. C C}, citeulike-article-id = {966292}, posted-at = {2006-11-29 08:19:07}, priority = {2}, title = {PEBL: Positive Example-Based Learning for Web Page Classification Using SVM}, url = {http://citeseer.ist.psu.edu/yu02pebl.html}, year = {2002} }

TY - GEN ID - citeulike:966292 L3 - citeulike-article-id:966292 TI - PEBL: Positive Example-Based Learning for Web Page Classification Using SVM N2 - for Web mining. Specifically, classifying Web pages of a user-interesting class is the first step of mining interesting information from the Web. However, constructing a classifier for an interesting class requires laborious pre-processing such as collecting positive and negative training examples. For instance, in order to construct a "homepage" classifier, one needs to collect a sample of homepages (positive examples) and a sample of non-homepages (negative examples). In particular,... AU - Yu, H AU - Han, J PY - 2002/// UR - http://citeseer.ist.psu.edu/yu02pebl.html ER -