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Machine learning (ML) provides algorithms to create computer programs based on data without explicitly programming them. In business process management (BPM), ML applications are used to analyse and improve processes efficiently. Three…

Machine Learning · Computer Science 2024-05-28 Sven Weinzierl , Sandra Zilker , Sebastian Dunzer , Martin Matzner

Models are fundamentally crucial to many scientific fields, including software engineering, systems engineering, enterprise modeling, and business modeling. This paper focuses on diagrammatic conceptual modeling, as opposed to mathematical…

Software Engineering · Computer Science 2021-10-28 Sabah Al-Fedaghi , Mahdi Modhaffar

Machine learning has recently been widely adopted to address the managerial decision making problems, in which the decision maker needs to be able to interpret the contributions of individual attributes in an explicit form. However, there…

Machine Learning · Computer Science 2019-10-28 Mengzhuo Guo , Qingpeng Zhang , Xiuwu Liao , Frank Youhua Chen , Daniel Dajun Zeng

The Unified Modelling Language is emerging as a de-facto standard for modelling object-oriented systems. However, the semantics document that a part of the standard definition primarily provides a description of the language's syntax and…

Software Engineering · Computer Science 2014-09-25 Andy Evans , Kevin Lano , Robert France , Bernhard Rumpe

Formal Concept Analysis starts from a very basic data structure comprising objects and their attributes. Sometimes, however, it is beneficial to also define attributes of attributes, viz., meta-attributes. In this paper, we use Triadic…

Logic · Mathematics 2024-08-12 Yingjian Wang

In this paper we describe a new approach to data modelling called the concept-oriented model (CoM). This model is based on the formalism of nested ordered sets which uses inclusion relation to produce hierarchical structure of sets and…

Databases · Computer Science 2008-01-03 Alexandr Savinov

The interaction between business models is used in consumer centric manner instead of using a producer centric approach for customizing the business process in cloud environment. The knowledge based human semantic web is used for…

Artificial Intelligence · Computer Science 2014-01-24 V. Karthikeyan , V. J. Vijayalakshmi , P. Jeyakumar

Process modeling is a sub-domain of Business Process Management (BPM) focused on the translation of process artifacts into formal models. This task traditionally requires extensive human input and domain expertise in both BPM notations and…

Artificial Intelligence · Computer Science 2026-05-26 Anton Antonov , Humam Kourani , Alessandro Berti , Gyunam Park

In software development, business rules implemented by hand using programming code hinder agility of companies. Are our students in information systems aware of that? Do our lessons promote this realization ? We use model driven concepts…

Software Engineering · Computer Science 2018-05-24 Pierre-André Sunier , Steve Berberat

In this document we introduce a system model as the basis for a semantic model for UML 2.0. The system model is supposed to form the core and foundation of the UML semantics definition. For that purpose the basic system is targeted towards…

Software Engineering · Computer Science 2014-09-24 Manfred Broy , Maria Victoria Cengarle , Bernhard Rumpe

Industry classification schemes provide a taxonomy for segmenting companies based on their business activities. They are relied upon in industry and academia as an integral component of many types of financial and economic analysis.…

Statistical Finance · Quantitative Finance 2022-11-14 Rian Dolphin , Barry Smyth , Ruihai Dong

In software system design, one of the purposes of diagrammatic modeling is to explain something (e.g., data tables) to others. Very often, syntax of diagrams is specified while the intended meaning of diagrammatic constructs remains…

Software Engineering · Computer Science 2022-10-05 Sabah Al-Fedaghi

Decision making whenever and wherever it is happened is key to organizations success. In order to make correct decision, individuals, teams and organizations need both knowledge management (to manage content) and collaboration (to manage…

Artificial Intelligence · Computer Science 2012-03-27 Nesrine Ben Yahia , Narjès Bellamine , Henda Ben Ghezala

Object orientation has become the predominant paradigm for conceptual modeling (e.g., UML), where the notions of class and object form the primitive building blocks of thought. Classes act as templates for objects that have attributes and…

Software Engineering · Computer Science 2021-06-02 Sabah Al-Fedaghi

In Model-Driven Engineering (MDE), the Unified Modeling Language (UML) 2.0 specification includes a metamodel that defines the language concepts and a user model that defines how the language concepts are represented. In UML 2.0, an…

Software Engineering · Computer Science 2022-06-28 William S. Chao

Model driven architecture (MDA) concentrates on the use of models during software development. An approach using models as the central development artifact is more abstract, more compact and thus more effective and probably also less error…

Software Engineering · Computer Science 2014-09-24 Bernhard Rumpe

Currently many different modeling languages are used for workflow definitions in BPM systems. Authors of this paper analyze the two most popular graphical languages, with highest possibility of wide practical usage - UML Activity diagrams…

Software Engineering · Computer Science 2007-05-23 Audris Kalnins , Valdis Vitolins

Digital transformation (DX) has recently become a pressing issue for many companies as the latest digital technologies, such as artificial intelligence and the Internet of Things, can be easily utilized. However, devising new business…

Other Computer Science · Computer Science 2024-06-11 Masahiro Watanabe , Naoshi Uchihira

Unified modelling language (UML) 2.0 introduced in 2002 has been developing and influencing object-oriented software engineering and has become a standard and reference for information system analysis and design modelling. There are many…

Software Engineering · Computer Science 2010-06-10 Spits Warnars

Competitive methods for multi-label classification typically invest in learning labels together. To do so in a beneficial way, analysis of label dependence is often seen as a fundamental step, separate and prior to constructing a…

Machine Learning · Statistics 2017-07-19 Jesse Read , Jaakko Hollmén