classification
RSS classificationClassification of Security Issues
White Paper The classification scheme chosen gives a rating of security impact on a four point scale and is designed to be an at-a-glance guide to how worried Red Hat is about each security issue. This paper looks at why Red Hat has started classifying... [05 Jul 2005]
Classification, Clustering and Application in Intrusion Detection System
White Paper Classification and clustering techniques in data mining are useful for a wide variety of real time applications dealing with large amount of data. Some of the applications of data mining are text classification, selective marketing, medical... [10 Jul 2008]
Learning With Hypergraphs: Clustering, Classification, and Embedding
White Paper The main contribution in this paper is to generalize the powerful methodology of spectral clustering which originally operates on undirected graphs to hypergraphs, and further develop algorithms for hypergraph embedding and transductive... [25 May 2007]
Classification Techniques for GSM Emitters
White Paper The approach is fully automated, so that the steps of signal conditioning, signal processing for feature extraction, and classification are all performed at a mouse-click. This paper describes a methodology for identifying GSM emitters functioning... [14 Nov 2005]
Using Error-Correcting Codes for Text Classification
White Paper The paper shows that the accuracy of a Naive Bayes Classifier over text classification tasks can be significantly improved by taking advantage of the error-correcting properties of the code. This paper explores in detail the use of Error Correcting... [13 Apr 2005]
Best Practices in Data Classification for Information Lifecycle Management
White Paper It is intended as a high-level introduction to issues and considerations for IT organizations that are considering implementation of a more formal approach to data classification. Information lifecycle management (ILM) is a sustainable storage... [10 Mar 2005]
Data Classification in Distributed Computing Environments: Getting Off to a Good Start
White Paper Going forward, the information collected in the discovery process can not only help planners to define a workable data classification scheme, it can also help to improve the strategic planning for the storage infrastructure itself - the single... [22 Dec 2006]
8 Steps to Better Incident Classification
White Paper Incident classification and initial support and the activities carried out by service desk staff to determine how to work or route an incident for resolution. The IT Infrastructure Library (ITIL) covers classification very well. [02 Feb 2007]
A Feature Classification Scheme for Network Intrusion Detection
White Paper This paper presents a feature classification schema for network intrusion detection intended to provide a better understanding regarding the features that can be extracted from network packets. One of the most important phases of the IDS/IPS... [09 Jul 2008]
A Study on Classification Techniques for Network Intrusion Detection
White Paper This paper compares the ability of three classification techniques (k-means classifiers, neural networks and support vector machines) to perform for network intrusion detection applications. Computer systems vulnerabilities such as software bugs... [09 Jul 2008]
Flow Classification by Histograms
White Paper This paper argues that using the entire distributional properties of flows can have significant benefits in terms of quality in the derived classification. In order to control and manage highly aggregated Internet traffic flows efficiently, we need... [06 Jan 2005]
A Neural Network Based System for Intrusion Detection and Classification of Attacks
White Paper While most of the previous studies have focused on classification of records in one of the two general classes - normal and attack, this research aims to solve a multi class problem in which the type of attack is also detected by the neural network. [05 Jul 2008]
Sentiment Classification on Customer Feedback Data: Noisy Data, Large Feature Vectors, and the Role of Linguistic Analysis
White Paper The paper demonstrates that it is possible to perform automatic sentiment classification in the very noisy domain of customer feedback data and shows that by using large feature vectors in combination with feature reduction, the author can train... [06 Mar 2007]
A Content Classification and Filtering Server for the Internet
White Paper This paper proposes and implements a content classification and filtering server inserted into a content adaptation architecture based on the Internet Content Adaptation Protocol (ICAP). The amazing growth of the Web in recent years, which includes... [23 Aug 2006]
On Demand Classification of Data Streams
White Paper This paper presents a framework for classification of dynamic evolving data streams. While previous research has developed methods on the development of one-pass algorithms for data stream classification, this paper proposes a new framework and a... [02 Mar 2005]
