Overview of keyword tags

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This page provides an overview of 617 keyword tags, ordered by trending factor. Column headings allow re-sorting by other criteria. In the expanding tab below you can adjust filters to display sub-sets of keywords and narrow the focus to specific terms of interest (see FAQs on filtering for usage tips). Select this link to remove all filters.

Termsort descending Brief description Charts

data compression

In computer science and information theory, data compression, source coding or bit-rate reduction is the process of encoding information using fewer bits than the original representation would use. Compression is useful because it helps reduce the consumption of expensive resources, such as hard disk space or transmission bandwidth. On the downside, compressed data must be decompressed to be used, and this extra processing may be detrimental to some applications. For instance, a compression scheme for video may require expensive hardware for the video to be decompressed fast enough to be viewed as it is being decompressed (the option of decompressing the video in full before watching it may be inconvenient, and requires storage space for the decompressed video). The design of data compression schemes therefore involves trade-offs among various factors, including the degree of compression, the amount of distortion introduced (if using a lossy compression scheme), and the computational resources required to compress and uncompress the data. (Excerpt from <a href="http://en.wikipedia.org/wiki/Data_compression">Wikipedia article: Data compression</a>)

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data management

Data management comprises all the disciplines related to managing data as a valuable resource. The official definition provided by DAMA International, the professional organization for those in the data management profession, is: "Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise." This definition is fairly broad and encompasses a number of professions which may not have direct technical contact with lower-level aspects of data management, such as relational database management. (Excerpt from <a href="http://en.wikipedia.org/wiki/Data_management">Wikipedia article: Data management</a>)

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data mining

Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. (Excerpt from <a href="http://en.wikipedia.org/wiki/Data_mining">Wikipedia article: Data Mining</a>)

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data model

A data model in software engineering is an abstract model, that documents and organizes the business data for communication between team members and is used as a plan for developing applications, specifically how data is stored and accessed. A data model explicitly determines the structure of data or structured data. Typical applications of data models include database models, design of information systems, and enabling exchange of data. Usually data models are specified in a data modeling language. (Excerpt from <a href="http://en.wikipedia.org/wiki/Data_model">Wikipedia article: Data model</a>)

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data set

A data set (or dataset) is a collection of data, usually presented in tabular form. Each column represents a particular variable. Each row corresponds to a given member of the data set in question. Its values for each of the variables, such as height and weight of an object or values of random numbers. Each value is known as a datum. The data set may comprise data for one or more members, corresponding to the number of rows. (Excerpt from <a href="http://en.wikipedia.org/wiki/Data_set">Wikipedia article: Data set</a>)

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data visualisation

Data visualization is the study of the visual representation of data, meaning "information which has been abstracted in some schematic form, including attributes or variables for the units of information". Data visualization is closely related to Information graphics, Information visualization, Scientific visualization and Statistical graphics. In the new millennium data visualization has become active area of research, teaching and development. (Excerpt from <a href="http://en.wikipedia.org/wiki/Data_visualization">Wikipedia article: Data visualization</a>)

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data visualization

Data visualization is the study of the visual representation of data, meaning "information which has been abstracted in some schematic form, including attributes or variables for the units of information". Data visualization is closely related to Information graphics, Information visualization, Scientific visualization and Statistical graphics. In the new millennium data visualization has become active area of research, teaching and development. (Excerpt from <a href="http://en.wikipedia.org/wiki/Data_visualization">Wikipedia article: Data visualization</a>)

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database

A database is a system intended to organize, store, and retrieve large amounts of data easily. It consists of an organized collection of data for one or more uses, typically in digital form. One way of classifying databases involves the type of their contents, for example: bibliographic, document-text, statistical. Digital databases are managed using database management systems, which store database contents, allowing data creation and maintenance, and search and other access. (Excerpt from <a href="http://en.wikipedia.org/wiki/Database">Wikipedia article: Database</a>)

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datamining

Data mining (the analysis step of the knowledge discovery in databases process, or KDD), a relatively young and interdisciplinary field of computer science is the process of discovering new patterns from large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and database systems. The overall goal of the data mining process is to extract knowledge from a data set in a human-understandable structure and besides the raw analysis step involves database and data management aspects, data preprocessing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of found structure, visualization and online updating. The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection) and dependencies (association rule mining). This usually involves using database techniques such as spatial indexes. These patterns can then be seen as a kind of summary of the input data, and used in further analysis or for example in machine learning and predictive analytics. For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system. Neither the data collection, data preparation nor result interpretation and reporting are part of the data mining step, but do belong to the overall KDD process as additional steps. (Excerpt from <a href="http://en.wikipedia.org/wiki/Data_mining">Wikipedia article: Data mining</a>)

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dc terms

The Dublin Core Metadata Initiative provides a namespace specifying frequently used metadata terms: http://dublincore.org/documents/2010/10/11/dcmi-terms/ (Excerpt from <a href="http://dublincore.org/documents/2010/10/11/dcmi-terms/">this source</a>)

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dcap

A DC application profile (DCAP) specifies set of terms used in a class of DC metadata description sets, typically the class of description sets which are deployed within a metadata application or within a set of applications and services operating within some domain or community. It describes the properties that are used in statements and how the use of those properties is constrained or adapted for the purposes of that application or domain. (Excerpt from <a href="http://www.ukoln.ac.uk/metadata/dcmi/collection-application-profile/">this source</a>)

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dcmes

The Simple Dublin Core Metadata Element Set (DCMES) consists of 15 metadata elements. Each Dublin Core element is optional and may be repeated. The DCMI has established standard ways to refine elements and encourage the use of encoding and vocabulary schemes. There is no prescribed order in Dublin Core for presenting or using the elements. (Excerpt from <a href="http://en.wikipedia.org/wiki/Dublin_core">Wikipedia article: Dublin Core Metadata Element Set (DCMES) </a>)

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dcmi

The Dublin Core Metadata Initiative (DCMI) incorporated as an independent entity (separating from OCLC) in 2008 that provides an open forum for the development of interoperable online metadata standards for a broad range of purposes and of business models. DCMI's activities include consensus-driven working groups, global conferences and workshops, standards liaison, and educational efforts to promote widespread acceptance of metadata standards and practices. (Excerpt from <a href="http://en.wikipedia.org/wiki/DCMI">Wikipedia article: Dublin Core Metadata Initiative</a>)

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ddc

The Dewey Decimal Classification (DDC, also called the Dewey Decimal System) is a proprietary system of library classification developed by Melvil Dewey in 1876. It has been greatly modified and expanded through 22 major revisions, the most recent in 2003. This system organizes books on library shelves in a specific and repeatable order that makes it easy to find any book and return it to its proper place. The system is used in 200,000 libraries in at least 135 countries. A designation such as Dewey 16 refers to the 16th edition of the DDC. (Excerpt from <a href="http://en.wikipedia.org/wiki/Dewey_decimal">Wikipedia article: Dewey Decimal</a>)

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dewey decimal

The Dewey Decimal Classification (DDC, also called the Dewey Decimal System) is a proprietary system of library classification developed by Melvil Dewey in 1876. It has been greatly modified and expanded through 22 major revisions, the most recent in 2003. This system organizes books on library shelves in a specific and repeatable order that makes it easy to find any book and return it to its proper place. The system is used in 200,000 libraries in at least 135 countries. A designation such as Dewey 16 refers to the 16th edition of the DDC. (Excerpt from <a href="http://en.wikipedia.org/wiki/Dewey_decimal">Wikipedia article: Dewey Decimal</a>)

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dexy

Dexy is a tool for writing documents which relate to code. This might mean software documentation, journal articles relating to computational research, a code tutorial on your blog, writing up computer science class assignments, pretty much anything. You can think of Dexy as a very fancy 'make' tool with lots of document-related features and powerful filters. Dexy is open source, licensed under the MIT license. (Excerpt from <a href="http://www.dexy.it/intro/">this source</a>)

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dhtml

Dynamic HTML, or DHTML, is an umbrella term for a collection of technologies used together to create interactive and animated web sites by using a combination of a static markup language (such as HTML), a client-side scripting language (such as JavaScript), a presentation definition language (such as CSS), and the Document Object Model. DHTML allows scripting languages to change variables in a web page's definition language, which in turn affects the look and function of otherwise "static" HTML page content, after the page has been fully loaded and during the viewing process. Thus the dynamic characteristic of DHTML is the way it functions while a page is viewed, not in its ability to generate a unique page with each page load. By contrast, a dynamic web page is a broader concept &dash; any web page generated differently for each user, load occurrence, or specific variable values. This includes pages created by client-side scripting, and ones created by server-side scripting (such as PHP, Perl, JSP or ASP.NET) where the web server generates content before sending it to the client. (Excerpt from <a href="http://en.wikipedia.org/wiki/Dynamic_HTML">Wikipedia article: DHTML</a>)

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didl

Digital Item Declaration Language (DIDL) is an XML dialect standardized in MPEG-21. The schema files are available at MPEG. (Excerpt from <a href="http://en.wikipedia.org/wiki/DIDL">Wikipedia article: DIDL</a>)

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digital archive

An archive refers to a collection of historical records, as well as the physical place they are located. Archives contain primary source documents that have accumulated over the course of an individual or organization's lifetime, and are kept to show the function of an organization. (Excerpt from <a href="http://en.wikipedia.org/wiki/Digital_archive">Wikipedia article: Archive</a>)

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digital asset management

Digital asset management (DAM) consists of management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets. Digital photographs, animations, videos and music exemplify the target-areas of media asset management (a sub-category of DAM). Digital asset management systems (DAMS) include computer software and hardware systems that aid in the process of digital asset management. The term "digital asset management" (DAM) also refers to the protocol for downloading, renaming, backing up, rating, grouping, archiving, optimizing, maintaining, thinning, and exporting files. (Excerpt from <a href="http://en.wikipedia.org/wiki/Digital_asset_management">Wikipedia article: Digital asset management</a>)

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