Network programming
C4.5: programs for machine learning
C4.5: programs for machine learning
Web security & commerce
Machine Learning
Machine Learning
Rule Induction with CN2: Some Recent Improvements
EWSL '91 Proceedings of the European Working Session on Machine Learning
Classifying Objectionable Websites Based on Image Content
IDMS '98 Proceedings of the 5th International Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services
Web Privacy with P3p
A comparative assessment of classification methods
Decision Support Systems
Prognosis Using an Isotonic Prediction Technique
Management Science
INFORMS Journal on Computing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
System for screening objectionable images
Computer Communications
Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints
Fundamenta Informaticae - Fundamentals of Knowledge Technology
Profanity use in online communities
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints
Fundamenta Informaticae - Fundamentals of Knowledge Technology
Web objectionable text content detection using topic modeling technique
Expert Systems with Applications: An International Journal
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The World Wide Web has enabled anybody with a low cost Internet connection to access vast information repositories. Some of these repositories contain information (e.g., hate speech and pornography) that is considered objectionable, especially for children to view. Several efforts---legal and technical---are underway to protect children and the generic public from accessing this type of content. We propose a technical approach utilizing a recently proposed technique called isotonic separation for filtering with content metadata if they satisfy monotone conditions. We illustrate this approach using a category rating method of PICS. In essence, we formulate the Internet content filtering problem as a classification problem on content metadata and report on experiments we conducted with the isotonic separation technique.