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classification problem

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Domain of Competence of XCS Classifier System in Complexity Measurement Space
The XCS classier system has shown a high degree of competence on a variety of data mining problems. But to what kind of problems XCS is well and poorly suited is seldom understood, especially for real-world classification problems. The major inconvenience has been attributed to the difficulty of determining the...
Tags: Domain, Competence, Classification Problem, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
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8 Steps to Better Incident Classification
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. There are numerous checklists and samples available and most service management systems offer built-in assistance with...
Tags: Classification, ITIL, It Services, Process Improvement, Quality, Business Operations
White papers 2006-09-07
Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Copartitioning
Multiclass classification has been investigated for many years in the literature. The scales of real-world multiclass classification applications have become larger and larger. Thus, the scalability of classification methods turns out to be a major concern. To tackle this problem, hierarchical classification is proposed and widely adopted to get better...
Tags: IEEE, Classification, Engineering
White papers 2005-09-01
What Happened to My Data?: Understanding How Results Are Affected When Formatting Is Applied to Classification Variables
Classification variables are used to group observations that have the same values. In the REPORT procedure, ORDER, GROUP, and ACROSS variables are classification variables. In the TABULATE, SUMMARY, and MEANS procedures, a CLASS variable is a classification variable. Because the classification process groups individual values, when a formatted value is...
Tags: Classification Variable
White papers 2007-07-27
An Approach to Data Classification in an ILM Framework
Data classification is a critical component in any Information Lifecycle Management ILM strategy. This paper outlines an eight-step data classification methodology that can be used on any data generated in an organization. The classification exercise provides the needed analytics to apply a tool called the "ILM cube," which can help...
Tags: Information Lifecycle Management, Classification, Data Classification, Information Lifecycle Management (ILM), Process Improvement, Enterprise Software, Software, Quality, Business Operations
White papers 2005-10-01
Improving Web Spam Classification Using Rank-Time Features
This paper studies the classification of web spam. Web spam refers to pages that use techniques to mislead search engines into assigning them higher rank, thus increasing their site traffic. The contributions are two fold. First, the paper find that the method of dataset construction is crucial for accurate spam...
Tags: Web, Web Spam, Channel Management, Marketing
White papers 2007-05-08
Offline/Realtime Traffic Classification Using Semi-Supervised Learning
Identifying and categorizing network traffic by application type is challenging because of the continued evolution of applications, especially of those with a desire to be undetectable. The diminished effectiveness of port-based identification and the overheads of deep packet inspection approaches motivate us to classify traffic by exploiting distinctive flow characteristics...
Tags: Application, Reed Elsevier Inc., Productivity, Networking
White papers 2007-07-13
SSA: A Power and Memory Efficient Scheme to Multi-Match Packet Classification
New network applications like intrusion detection systems and packet-level accounting require multi-match packet classification, where all matching filters need to be reported. Ternary Content Addressable Memories TCAMs have been adopted to solve the multi-match classification problem due to their ability to perform fast parallel matching. However, TCAM is expensive and...
Tags: Memory, Association For Computing Machinery, Scheme, Intrusion Detection, Security
White papers 2005-10-28
FlexCls Express (exe)
Flexense develops and distributes a unique file classification and categorization solution, which is capable of solving the information overloading problem in an innovative way. FlexCls is a file system classification and categorization tool. FlexCls is capable of scanning huge file systems distributed over numerous disk drives and storage devices and...
Tags: File System, Classification, Flexense Computing Systems, FlexCls, Flexense, Storage, Hardware
Software downloads 2008-01-11
Data Classification with Oracle Label Security
Data classification is common in government organizations where the need to protect classified data is critical to national security. However, today the need for data classification extends beyond traditional usages to the protection of personally identifiable information PII and other sensitive information collected from sources such as medical records and...
Tags: Oracle Corp., Classification, Data Classification, Oracle Label Security, Security
White papers 2005-06-01
Exchange 2007 Message Classifications (Part 2)
How to use multiple languages and how to use transport rules to help with the Message Classification process. In this part of Message Classification in Exchange Server 2007 paper series, the reader will see how to use multiple languages, how to define the classification automatically using transport rules and where...
Tags: Microsoft Exchange Server 2007, Classification, Microsoft Windows Active Directory, Directory Services, E-mail Servers, Groupware, Enterprise Software, Software
White papers 2007-01-09
Scaling Up Text Classification for Large File Systems
This paper combines the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifier that can scale to very large document corpora. They investigate the effect of different methods of formulating the query from the training set, as well...
Tags: Hewlett-Packard Co., File System, Classification, Workforce Management, Human Resources
White papers 2008-06-21
Consistent Image-Based Measurement and Classification of Skin Color
Little prior image processing work has addressed estimation and classification of skin color in a manner that is independent of camera and illuminant. To this end, the paper first presents new methods for fast, easy-to-use image color correction, with specialization toward skin tones, and fully automated estimation of facial skin...
Tags: Estimation, Hewlett-Packard Co., Classification
White papers 2005-09-26
A Functional Taxonomy of Wireless Sensor Network Devices
With the availability of cheap computing technology and the standardization of different wireless communication paradigms, Wireless Sensor Networks WSNs are becoming a reality. This is visible in the increasing amount of research being done in the WSN area, and the growing number of companies offering commercial WSN solutions. In this...
Tags: Network, Sensor, Network Device, Classification, Wi-Fi, Wireless
White papers 2005-09-04
Neuro Genetic-Nearest Neighbor Based Data Mining Techniques for Fingerprint Classification and Recognition System
The proposed fingerprint classification using Data Mining technique, Neuro Genetic-Nearest Neighbor based recognition, overcomes low recognition rate, low accuracy, increased time of recovery and improves the classification rate. The proposed method involves various stages like image enhancement, line detector based feature extraction and neural network classification using Learning Vector Quantization...
Tags: Classification, Data Mining, Business Intelligence, Engineering, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
White papers 2007-11-01
Exchange 2007 Message Classifications (Part 1)
Exchange Server 2007 has a new feature called Message Classification where a message can be classified by the user or Administrator. This kind of feature helps organizations maintain e-mail policies as well as regulatory norms. When a message is classified, it receives metadata that describes the message use or audience....
Tags: Message, Microsoft Exchange Server 2007, Classification, E-mail, Microsoft Outlook, Groupware, Microsoft Office, E-mail Servers, Online Communications, Office Suites, Software, Enterprise Software
White papers 2007-01-09
Call-Type Classification and Unsupervised Training for the Call Center Domain
This paper describes recent experiments in call-type classification and acoustic modeling for speech recognition in the call center domain. The paper first describes the CU Call Center Corpus, a database of human-to-human conversations recorded from an Information Technology IT Help Desk call center located on the University of Colorado campus...
Tags: Call-center, Domain, University Of Colorado, Training, Call Centers, Customer Relationship Management (CRM), It Operations, Enterprise Software, Software
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Path Prediction Through Data Mining
Context-awareness is viewed as one of the most important aspects in the emerging ubiquitous computing paradigm. However, mobile applications are required to operate in pervasive computing environments of dynamic nature. Such applications predict the appropriate context in their environment in order to act efficiently. A context model, which deals with...
Tags: Ubiquitous Computing, Data Mining, Classification, Prediction, University Of Athens, Context-awareness
White papers 2007-02-18
FileSphere Personal 2008 (zip)
Fully automated document management solution embedded in Microsoft Office, Outlook, Windows, Open Office, and Adobe Acrobat. A perfect tool for classification and retrieval of files including documents, e-mails, MP3, and images. Benefit from automated versioning and classification in your everyday working environment. Version 4.1.235 includes unspecified updates.
Tags: Classification, Document Management, Content Management, Managerial Accounting, Groupware, OpenOffice, Enterprise Software, Software, Finance, Office Suites
Software downloads 2007-11-15
Text Mining With "Holographic" Decision Tree Ensembles
The data-mining classification and predictive modeling algorithms that are based on bootstrapping techniques re-use a source data set, repeatedly, to create a family of predictive and classification models that can be said to render a "Holographic" view of the modeled data. The results offer a classification and prediction performance that...
Tags: Text Mining, Classification, Research & Development, Data Mining, Business Operations, Enterprise Software, Software, Data Management
White papers 2006-02-28
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