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An Intelligent System for Retrieval and Mining of Audiovisual
An Intelligent System for Retrieval and Mining of Audiovisual

... summarization still exists [1]. Moreover, retrieval systems should be capable of providing the user with additional information related to the specific subject of the query, as well as suggest other, possibly interesting topics. The MPEG-7 standard [2] aims to satisfy the above operational requireme ...
Computer Security: Principles and Practice, 1/e
Computer Security: Principles and Practice, 1/e

... it sends an alert to the manager component that contains information about the unusual activity that was detected, as well as the specifics of the occurrence. The manager component issues a notification to the human operator. A response can be initiated automatically by the manager component or by t ...
The ASSOC Procedure
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... these counts with a SET_SIZE of 1 and the items listed under ITEM1. Items that do not meet the support level are discarded. By default, the support level is set to 5% of the largest item count. PROC ASSOC then generates all potential 2-item sets, makes a pass through the data and obtains transaction ...
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... security of computers and data processed by them.  A crime committed using the computer and the internet to steal a person’s identity or sell contraband or stalk victims or disrupt operations with malevolent programs.  Cybercrime is any criminal activity which uses network access to commit a crimi ...
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... c) Mission creep Mission creep is one of the leading risks of data mining cited by civil libertarians, and represents how control over one’s information can be a tenuous proposition. Mission creep refers to the use of data for purposes other than that for which the data was originally collected. Thi ...
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... Database software can be used to enter and store data from your community assessment data collection methods, which can include quantitative as well as qualitative data. Database software can be customized, so that you enter only the types of data (“fields”) you need to maintain the database. Once d ...
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... storage. Copies of their data are stored in multiple locations to protect against maintenance leading to a loss of access. If a local server is down and requires maintenance work it is very unlikely that users will be able to access their data, certainly in the short term. It is also the case that t ...
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... workbooks (.xls files) and ASCII files (.txt or comma separated .csv files). Excel files are very popular and easy to use, but they can cause data conversion problems. Values can be lost or truncated because each cell in a spreadsheet is independent, so the Excel columns that convert to SAS variable ...
data warehousing - Sayco - Secured Assets Yield Corporation
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... There are many different models of data warehouses. Online Transaction Processing, which is a data warehouse model, is built for speed and ease of use. Another type of data warehouse model is called Online Analytical processing, which is more difficult to use and adds an extra step of analysis withi ...
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TextVis: An Integrated Visual Environment for Text Mining*

... refined based on the output of the previous steps. At any point in the analysis, several non-exclusive options are available to the user. More than one tool may be used originating from a single point. Another strength of the system is the clear separation between algorithmic tools and browsers. Thi ...
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Information privacy law

Information privacy or data protection laws prohibit the disclosure or misuse of information held on private individuals. Over 80 countries and independent territories have now adopted comprehensive data protection laws including nearly every country in Europe and many in Latin America and the Caribbean, Asia and Africa. The US is notable for not having adopted a comprehensive information privacy law but rather having adopted limited sectoral laws in some areas.These laws are based on Fair Information Practice, first developed in the United States in the 1970s by the Department for Health, Education and Welfare (HEW). The basic principles of data protection are: For all data collected there should be a stated purpose Information collected by an individual cannot be disclosed to other organizations or individuals unless specifically authorized by law or by consent of the individual Records kept on an individual should be accurate and up to date There should be mechanisms for individuals to review data about them, to ensure accuracy. This may include periodic reporting Data should be deleted when it is no longer needed for the stated purpose Transmission of personal information to locations where ""equivalent"" personal data protection cannot be assured is prohibited Some data is too sensitive to be collected, unless there are extreme circumstances (e.g., sexual orientation, religion)↑
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