Artikel,
"In vivo" spam filtering: a challenge problem for KDD
SIGKDD Explor. Newsl., (Dezember 2003)
DOI: 10.1145/980972.980990
Zusammenfassung
Spam, also known as Unsolicited Commercial Email (UCE), is the bane of email communication. Many data mining researchers have addressed the problem of detecting spam, generally by treating it as a static text classification problem. True <i>in vivo</i> spam filtering has characteristics that make it a rich and challenging domain for data mining. Indeed, real-world datasets with these characteristics are typically difficult to acquire and to share. This paper demonstrates some of these characteristics and argues that researchers should pursue <i>in vivo</i> spam filtering as an accessible domain for investigating them.
