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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Ling-Spam Dataset Corpus containing both legitimate and spam emails. Four version of the corpus involving whether or not a lemmatiser or stop-list was enabled. 2,412 Ham 481 Spam Text Classification 2000 [38] [39] Androutsopoulos, J. et al. SMS Spam Collection Dataset Collected SMS spam messages. None. 5,574 Text Classification 2011 [40] [41]

  3. Bogofilter - Wikipedia

    en.wikipedia.org/wiki/Bogofilter

    Bogofilter examines tokens in the message body and header, and refers to wordlists stored by BerkeleyDB, SQLite or QDBM to calculate a probability score that a new message is spam. Bogofilter provides processing for plain text and HTML and supports reading multi-part MIME message including base64, quoted-printable , and uuencoded text or HTML.

  4. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  5. Naive Bayes spam filtering - Wikipedia

    en.wikipedia.org/wiki/Naive_Bayes_spam_filtering

    For these approximations to make sense, the set of learned messages needs to be big and representative enough. It is also advisable that the learned set of messages conforms to the 50% hypothesis about repartition between spam and ham, i.e. that the datasets of spam and ham are of same size. [8]

  6. Enron Corpus - Wikipedia

    en.wikipedia.org/wiki/Enron_Corpus

    The Enron Corpus is a database of over 600,000 emails generated by 158 employees [1] of the Enron Corporation in the years leading up to the company's collapse in December 2001. The corpus was generated from Enron email servers by the Federal Energy Regulatory Commission (FERC) during its subsequent investigation. [ 2 ]

  7. Report abuse or spam on AOL

    help.aol.com/articles/report-abuse-or-spam-on-aol

    Unsolicited Bulk Email (Spam) AOL protects its users by strictly limiting who can bulk send email to its users. Info about AOL's spam policy, including the ability to report abuse and resources for email senders who are being blocked by AOL, can be found by going to the Postmaster info page .

  8. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  9. Email bomb - Wikipedia

    en.wikipedia.org/wiki/Email_bomb

    On Internet usage, an email bomb is a form of net abuse that sends large volumes of email to an address to overflow the mailbox, [1] [2] overwhelm the server where the email address is hosted in a denial-of-service attack [3] or as a smoke screen to distract the attention from important email messages indicating a security breach.