You have probably seen an increase in the amount of spam that appears in your mailbox or on your favorite forum. The activities of a small number of people is a major problem for the Internet.
To request money chain letters, both for reports or just above, are illegal in the United States if they are in the mail or e-mail. Report fraud to your local postmaster United States. You can send to Nigeria and other African countries, someone who uses it to your bank account for $ 20 million transferred to want to see published. It's a scam "419" and died.
Spam flooding the Internet with many copies of the same message in an attempt, the message to people who would otherwise choose to receive strength. Most spam is commercial advertising, often for dubious products, get-rich-quick schemes, or quasi-legal services. Spam costs the sender very little to send - most of the costs are determined by the recipient or vectors, rather than paid by the sender. For the recipient, spam is easy to recognize. If you hired someone to read email and reject spam, difficulties they had to do. How can we, under the IA to automate this process? I think we will be able to solve the problem by using relatively simple algorithms. In fact, I found the spam now quite well with anything other filter as a combination of Bayesian probability email individual words. (As described below) with a slightly modified Bayesian filter, now losing 1,000 spam 5, with 0 false positives.
One particularly nasty variant of email spam is sending spam to mailing list (e-mail forum for public or private debate). Because many mailing lists limit activity to their subscribers, spammers use automated to sign as many mailing lists as possible, so tools that address list, or use the mailing list as a direct target of their attack tools.
To request money chain letters, both for reports or just above, are illegal in the United States if they are in the mail or e-mail. Report fraud to your local postmaster United States. You can send to Nigeria and other African countries, someone who uses it to your bank account for $ 20 million transferred to want to see published. It's a scam "419" and died.
Spam flooding the Internet with many copies of the same message in an attempt, the message to people who would otherwise choose to receive strength. Most spam is commercial advertising, often for dubious products, get-rich-quick schemes, or quasi-legal services. Spam costs the sender very little to send - most of the costs are determined by the recipient or vectors, rather than paid by the sender. For the recipient, spam is easy to recognize. If you hired someone to read email and reject spam, difficulties they had to do. How can we, under the IA to automate this process? I think we will be able to solve the problem by using relatively simple algorithms. In fact, I found the spam now quite well with anything other filter as a combination of Bayesian probability email individual words. (As described below) with a slightly modified Bayesian filter, now losing 1,000 spam 5, with 0 false positives.
One particularly nasty variant of email spam is sending spam to mailing list (e-mail forum for public or private debate). Because many mailing lists limit activity to their subscribers, spammers use automated to sign as many mailing lists as possible, so tools that address list, or use the mailing list as a direct target of their attack tools.
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