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Decision Model And Notation
In business analysis, the Decision Model and Notation (DMN) is a standard published by the Object Management Group.OMG standard "Decision Model and Notation (DMN)"current version/ref> It is a standard approach for describing and modeling repeatable decisions within organizations to ensure that decision models are interchangeable across organizations. The DMN standard provides the industry with a modeling notation for decisions that will support decision management and business rules. The notation is designed to be readable by business and Information technology, IT users alike. This enables various groups to effectively collaborate in defining a decision model: * the business people who manage and monitor the decisions, * the business analysts or functional analysts who document the initial decision requirements and specify the detailed decision models and decision logic, * the technical Software developer, developers responsible for the automation of systems that make the decision ...
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DMN NewBankAccountProcess BPMN
DMN or dmn may refer to: Science *Default mode network, a network of brain regions *Dorsal motor nucleus, a nerve nucleus for the vagus nerve *Dorsomedial nucleus, a nerve nucleus for the hypothalamus in the brain *Dimethylnitrosamine, a chemical Other uses * DMN (group), a Brazilian rap group *''The Dallas Morning News'' * Darjah Utama Seri Mahkota Negara (D.M.N.), Malaysian Federal Award (second order of precedence) *Decision Model and Notation, an Object Management Group standard * Dunman Secondary School, a secondary school in Tampines, Singapore * Dynamic Manufacturing Network, a virtual alliance of enterprises who collectively constitute a dispersed manufacturing network * D.Mn., an abbreviation used for the United States District Court for the District of Minnesota *dmn, the ISO 630 code for the Mande languages The Mande languages are a family of languages spoken in several countries in West Africa by the Mandé peoples. They include Maninka (Malinke), Mandinka, ...
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Universal Quantifier
In mathematical logic, a universal quantification is a type of quantifier, a logical constant which is interpreted as "given any", "for all", "for every", or "given an arbitrary element". It expresses that a predicate can be satisfied by every member of a domain of discourse. In other words, it is the predication of a property or relation to every member of the domain. It asserts that a predicate within the scope of a universal quantifier is true of every value of a predicate variable. It is usually denoted by the turned A (∀) logical operator symbol, which, when used together with a predicate variable, is called a universal quantifier ("", "", or sometimes by "" alone). Universal quantification is distinct from ''existential'' quantification ("there exists"), which only asserts that the property or relation holds for at least one member of the domain. Quantification in general is covered in the article on quantification (logic). The universal quantifier is e ...
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Map Coloring In CDMN
A map is a symbolic depiction of interrelationships, commonly spatial, between things within a space. A map may be annotated with text and graphics. Like any graphic, a map may be fixed to paper or other durable media, or may be displayed on a transitory medium such as a computer screen. Some maps change interactively. Although maps are commonly used to depict geographic elements, they may represent any space, real or fictional. The subject being mapped may be two-dimensional such as Earth's surface, three-dimensional such as Earth's interior, or from an abstract space of any dimension. Maps of geographic territory have a very long tradition and have existed from ancient times. The word "map" comes from the , wherein ''mappa'' meant 'napkin' or 'cloth' and ''mundi'' 'of the world'. Thus, "map" became a shortened term referring to a flat representation of Earth's surface. History Maps have been one of the most important human inventions for millennia, allowing humans t ...
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Graph Coloring
In graph theory, graph coloring is a methodic assignment of labels traditionally called "colors" to elements of a Graph (discrete mathematics), graph. The assignment is subject to certain constraints, such as that no two adjacent elements have the same color. Graph coloring is a special case of graph labeling. In its simplest form, it is a way of coloring the Vertex (graph theory), vertices of a graph such that no two adjacent vertices are of the same color; this is called a vertex coloring. Similarly, an ''edge coloring'' assigns a color to each Edge (graph theory), edges so that no two adjacent edges are of the same color, and a face coloring of a planar graph assigns a color to each Face (graph theory), face (or region) so that no two faces that share a boundary have the same color. Vertex coloring is often used to introduce graph coloring problems, since other coloring problems can be transformed into a vertex coloring instance. For example, an edge coloring of a graph is just ...
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Business Process Model And Notation
Business Process Model and Notation (BPMN) is a graphical representation for specifying business processes in a business process model. Originally developed by the Business Process Management Initiative (BPMI), BPMN has been maintained by the Object Management Group (OMG) since the two organizations merged in 2005. Version 2.0 of BPMN was released in January 2011, at which point the name was amended to Business Process Model ''and'' Notation to reflect the introduction of execution semantics, which were introduced alongside the existing notational and diagramming elements. Though it is an OMG specification, BPMN is also ratified as ISO 19510. The latest version is BPMN 2.0.2, published in January 2014. Overview Business Process Model and Notation (BPMN) is a standard for business process modeling that provides a graphical notation for specifying business processes in a ''Business Process Diagram'' (BPD), based on a flowcharting technique very similar to activity diagrams from ...
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First-order Logic
First-order logic, also called predicate logic, predicate calculus, or quantificational logic, is a collection of formal systems used in mathematics, philosophy, linguistics, and computer science. First-order logic uses quantified variables over non-logical objects, and allows the use of sentences that contain variables. Rather than propositions such as "all humans are mortal", in first-order logic one can have expressions in the form "for all ''x'', if ''x'' is a human, then ''x'' is mortal", where "for all ''x"'' is a quantifier, ''x'' is a variable, and "... ''is a human''" and "... ''is mortal''" are predicates. This distinguishes it from propositional logic, which does not use quantifiers or relations; in this sense, propositional logic is the foundation of first-order logic. A theory about a topic, such as set theory, a theory for groups,A. Tarski, ''Undecidable Theories'' (1953), p. 77. Studies in Logic and the Foundation of Mathematics, North-Holland or a formal theory o ...
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Constraint Programming
Constraint programming (CP) is a paradigm for solving combinatorial problems that draws on a wide range of techniques from artificial intelligence, computer science, and operations research. In constraint programming, users declaratively state the constraints on the feasible solutions for a set of decision variables. Constraints differ from the common primitives of imperative programming languages in that they do not specify a step or sequence of steps to execute, but rather the properties of a solution to be found. In addition to constraints, users also need to specify a method to solve these constraints. This typically draws upon standard methods like chronological backtracking and constraint propagation, but may use customized code like a problem-specific branching heuristic. Constraint programming takes its root from and can be expressed in the form of constraint logic programming, which embeds constraints into a logic program. This variant of logic programming is due ...
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Data Mining
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the " knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also 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. The term "data mining" is a misnomer because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (''mining'') of data itself. It also is a buzzwo ...
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Process Mining
Process mining is a family of techniques for analyzing event data to understand and improve operational processes. Part of the fields of data science and Business_process_management, process management, process mining is generally built on Logging (computing), logs that contain case id, a unique identifier for a particular process instance; an activity, a description of the event that is occurring; a timestamp; and sometimes other information such as resources, costs, and so on. There are three main classes of process mining techniques: ''process discovery'', ''conformance checking'', and ''process enhancement''. In the past, terms like ''workflow mining'' and ''automated business process discovery'' (ABPD) were used. Overview Process mining techniques are often used when no formal description of the process can be obtained by other approaches, or when the quality of existing documentation is questionable. For example, application of process mining methodology to the audit trails o ...
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IEEE 1849
The IEEE STANDARD 1849-2016, IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams, is a technical standard developed by the IEEE Standards Association. It standardizes "''a language to transport, store, and exchange (possibly large volumes of) event data (e.g., for process mining)''".Giovanni Acampora; Autilia Vitiello; Bruno Di Stefano; Wil van der Aalst; Christian Gunther; Eric Verbeek: IEEE 1849: The XES Standard: The Second IEEE Standard Sponsored by IEEE Computational Intelligence Society ociety Briefs IEEE Computational Intelligence Magazine. 12(2): 4-8 (2017) In 2023, the standard has been revised in and superseded by the IEEE Standard 1849-2023. Process mining aims to discover, monitor and improve processes by extracting knowledge from event logs representing actual process executions in a given setting. Process mining depends on the availability of accurate and unambiguous event logs, according to established stan ...
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DMN Client Category Table
DMN or dmn may refer to: Science *Default mode network, a network of brain regions *Dorsal motor nucleus, a nerve nucleus for the vagus nerve *Dorsomedial nucleus, a nerve nucleus for the hypothalamus in the brain *Dimethylnitrosamine, a chemical Other uses * DMN (group), a Brazilian rap group *''The Dallas Morning News'' * Darjah Utama Seri Mahkota Negara (D.M.N.), Malaysian Federal Award (second order of precedence) *Decision Model and Notation, an Object Management Group standard * Dunman Secondary School, a secondary school in Tampines, Singapore * Dynamic Manufacturing Network, a virtual alliance of enterprises who collectively constitute a dispersed manufacturing network * D.Mn., an abbreviation used for the United States District Court for the District of Minnesota *dmn, the ISO 630 code for the Mande languages The Mande languages are a family of languages spoken in several countries in West Africa by the Mandé peoples. They include Maninka (Malinke), Mandinka, ...
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