"In vivo" spam filtering: A challenge problem for data mining

Details "In vivo" spam filtering: A challenge problem for data mining "In vivo" spam filtering: A challenge problem for data mining

2004-05-04

arxiv.org/abs/cs/0405007v1

KDD Explorations vol.5 no.2, Dec 2003. pp.140-148

Computer Science

Artificial Intelligence

Scientific paper

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 in vivo 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 in vivo spam filtering as an accessible domain for investigating them.

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