[go: up one dir, main page]

Katirai et al., 1999 - Google Patents

Filtering junk e-mail

Katirai et al., 1999

Document ID
14399769457009719757
Author
Katirai H
Ontario W
Schuurmans D
Publication year
Publication venue
A performance comparison between genetic programming and naive bayes. A

External Links

Continue reading at scholar.google.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/107—Computer aided management of electronic mail
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/54—Store-and-forward switching systems
    • H04L12/58—Message switching systems, e.g. electronic mail systems
    • H04L12/585—Message switching systems, e.g. electronic mail systems with filtering and selective blocking capabilities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/30707—Clustering or classification into predefined classes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/54—Store-and-forward switching systems
    • H04L12/58—Message switching systems, e.g. electronic mail systems
    • H04L12/5885—Message switching systems, e.g. electronic mail systems with provisions for tracking the progress of a message
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages
    • H04L51/12—Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages with filtering and selective blocking capabilities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Similar Documents

Publication Publication Date Title
O'Brien et al. Spam filters: Bayes vs. chi-squared; letters vs. words
Wu Behavior-based spam detection using a hybrid method of rule-based techniques and neural networks
Subramaniam et al. Overview of textual anti-spam filtering techniques
AU2004281052A1 (en) Dynamic message filtering
Yue et al. Artificial immune system inspired behavior-based anti-spam filter
Ruskanda Study on the effect of preprocessing methods for spam email detection
Christina et al. A study on email spam filtering techniques
Iyengar et al. Integrated SPAM detection for multilingual emails
Anitha et al. Email spam filtering using machine learning based xgboost classifier method
Reddy et al. Classification of spam messages using random forest algorithm
Yeh et al. Effective spam classification based on meta-heuristics
Webb et al. An experimental evaluation of spam filter performance and robustness against attack
Katirai et al. Filtering junk e-mail
Payne Learning Email Filtering Rules with Magi-A Mail Agent Interface
Vahora et al. Novel approach: Naïve bayes with vector space model for spam classification
Kumar et al. Spam email detection using ID3 algorithm and hidden Markov model
Lan et al. Spam filtering based on preference ranking
Hershkop et al. Identifying spam without peeking at the contents
Islam et al. Machine learning approaches for modeling spammer behavior
Banday et al. Multilingual e-mail classification using Bayesian filtering and language translation
Zorkadis et al. Improved spam e-mail filtering based on committee machines and information theoretic feature extraction
Guo et al. Research on the comprehensive anti-spam filter
Salim Using decision tree algorithms in detecting spam emails written in Malay: A comparison study
Carpinter Evaluating ensemble classifiers for spam filtering
Gulyás Creation of a Bayesian network-based meta spam filter, using the analysis of different spam filters