3 Resources for

data classification

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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
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
Not all data breaches are created equal: Understanding the root cause of a breach is a better use of time and resources than chasing elusive causes, causes that arise because someone was quick to point a finger at security ignorance as the reason things fell apart. by Tom Olzak; Tags: Breach, Data Classification, Security, Tom Olzak; Blog posts 2008-08-20

Additional Resources

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
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

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
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
Data Classification in Distributed Computing Environments: Getting Off to a Good Start: Regulatory compliance has managed to do what long standing, common sense arguments based on economics and efficiency could not: to compel business managers to consider and fund the development of strategies for managing data. Going forward, the information collected in the discovery process can not only help planners to define...; Tags: Distributed Computing, Regulatory Compliance, Strategic Planning, Storage, Strategy, Human Resources, Policies And Procedures, Management, Hardware; White papers 2005-07-06
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
Decisions Grow on Trees: Oracle Data Miner Decision Trees Classify and Analyze Data: Has one ever wondered which of the prospects are most likely to buy, or who will provide the most-lucrative deals? Whom should one target in the marketing campaign, and what will be important to them when they call? Oracle Data Miner helps bridge the gap between business questions such as...; Tags: Oracle Corp., Data, Business Intelligence, Storage, Databases, Marketing Research, Enterprise Software, Software, Data Management, Hardware, Marketing; White papers 2007-03-01
Enterprise Information Classification: Ensuring Persistent Encryption: This webcast cover best practices around information classification as part of an overall Information Protection Strategy. It is essential to classify information according to its value and level of sensitivity in order to deploy the right level of security as part of a comprehensive Information Protection Strategy. Information classification applies...; Tags: Microsoft Corp., Encryption, Classification, Microsoft Windows Rights Management Services, Information Classification, Digital Rights Management (DRM), Microsoft Outlook, Microsoft Office, Groupware, Security, Office Suites, Software, Enterprise Software; Webcasts 2008-07-24
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; White papers
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
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
Best Practices in Data Classification for Information Lifecycle Management: Information lifecycle management ILM is a sustainable storage strategy that balances the cost of storing and managing information with its business value. A well-executed ILM strategy will result in a more agile organization, reduce business risk and drive down both storage unit and storage management costs. This paper describes best...; Tags: Information Lifecycle Management, Best Practice, Information Lifecycle Management (ILM), Process Improvement, Storage, Enterprise Software, Software, Quality, Business Operations, Hardware; White papers 2005-01-01
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
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
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
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
Large Margin Non-Linear Embedding: It is common in classification methods to first place data in a vector space and then learn decision boundaries. This paper proposes reversing that process: for fixed decision boundaries, the authors "Learn" the location of the data. This way they do not need a metric or even stronger structure -...; Tags: Method, Author; White papers

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