classifiers
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Data Mining and Collusion Resistance
White Paper The field of data mining provides techniques for new knowledge discovery - finding patterns in the data set such as classifiers and association rules that may be useful to the data miner. Privacy preserving data mining... [29 Aug 2009]
Detecting Internet Worms Using Data Mining Techniques
White Paper Based upon general statistics gathered from these instruction sequences one formulated the problem as a binary classification problem and built tree based classifiers including decision tree, bagging and random forest. [29 Aug 2009]
Spam Filtering With Several Novel Bayesian Classifiers
White Paper Other four traditional classifiers: Naïve Bayes, k Nearest Neighbor (kNN), Support Vector Machine (SVM), C4.5 are also performed for comparison. Results of experiments on two corpora show the promising capabilities of... [01 Jul 2009]
Learning Fast Classifiers for Image Spam
White Paper Recently, spammers have proliferated "Image spam", emails which contain the text of the spam message in a human readable image instead of the message body, making detection by conventional content filters difficult. [01 Jul 2009]
E-Mail Spam Filtering With Local SVM Classifiers
White Paper This paper describes an e-mail spam filter based on local SVM, namely on the SVM classifier trained only on a neighborhood of the message to be classified, and not on the whole training data available. [01 Jul 2009]
Intelligent Detection Approaches for Spam
White Paper In the approaches, a window is used to hold several classifiers each of which classifies the e-mail independently and the label of the e-mail is given by a strategy of majority voting. This paper proposes intelligent... [01 Jul 2009]
Spam Filtering Using Statistical Data Compression Models
White Paper The nature of these models allows them to be employed as probabilistic text classifiers based on character-level or binary sequences. Spam filtering poses a special problem in text categorization, of which the defining... [01 Jul 2009]
Linked Latent Dirichlet Allocation in Web Spam Filtering
White Paper The addition of this method to log-odds based combination of strong link and content baseline classifiers results in a 3% improvement in AUC. Latent Dirichlet Allocation (LDA) is a fully generative statistical language... [01 Jul 2009]
Support Vector Machines and Random Forests Modeling for Spam Senders Behavior Analysis
White Paper These classifiers can contribute to a reputation system as one source of analysis and increase its accuracy. Unwanted and malicious messages dominate Email traffic and pose a great threat to the utility of email... [01 Jul 2009]
Ensemble of One-Class Classifiers for Network Intrusion Detection System
White Paper In addressing this issue, this paper proposes an ensemble of one-class classifiers where each uses different learning paradigms. To achieve high accuracy while lowering false alarm rates are major challenges in designing... [20 Jun 2009]
A Network Intrusion Detection Method Using Independent Component Analysis
White Paper The paper uses the KDD Cup 99 data and try to reduce its 41 features such that significant less number of features would be fed into kNN and SVM classifiers. An Intrusion Detection System (IDS) detects illegal... [20 Jun 2009]
Combining Face and Iris Biometrics for Identity Verification
White Paper Two different strategies have been used for fusing iris and face classifiers. The second strategy is to treat the matching distances of face and iris classifiers as a two-dimensional feature vector and... [16 Mar 2009]
Use of Novel Feature Extraction Technique With Subspace Classifiers for Speech Recognition
White Paper The feature vectors are then fed into three widely used linear subspace classifiers for recognition analysis. These classifiers are Class Featuring Information Compression (CLAFIC), Multiple Similarity... [13 Dec 2008]
An Audio-Visual Speech Recognition Framework Based on Articulatory Features
White Paper The N-best outputs of these independent classifiers are combined to decide on the best articulatory feature tuples. This paper presents an audio-visual speech recognition framework based on articulatory features, which... [13 Dec 2008]
PhraseRate: An HTML Keyphrase Extractor
White Paper This paper describes PhraseRate, which is an interactive aid for keyword extraction, designed to assist human classifiers in the Infomine Project. A standard feature in cataloging documents is the list of keywords. [04 Dec 2008]
