Collaboration In Knowledge Discovery And Decision Making
Download Collaboration In Knowledge Discovery And Decision Making PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Collaboration In Knowledge Discovery And Decision Making book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Collaboration in Knowledge Discovery and Decision Making
Author: Vanessa Agredo-Delgado
language: en
Publisher: Springer Nature
Release Date: 2025-07-20
This book CCIS 2369 constitutes the proceedings of the Third International Workshop on Collaboration in Knowledge Discovery and Decision Making, DECISIONING 2024, held in Pereira, Colombia, during June 4–6, 2024. The 18 full papers were carefully reviewed and selected from 54 submissions. These papers explore recent advances in collaborative decision making and knowledge discovery, addressing topics including data analysis, artificial intelligence, decision models and industrial applications.
Data Mining and Decision Support
Author: Dunja Mladenic
language: en
Publisher: Springer Science & Business Media
Release Date: 2003-09-30
Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.
Mastering Data-Intensive Collaboration and Decision Making
Author: Nikos Karacapilidis
language: en
Publisher: Springer Science & Business Media
Release Date: 2014-04-05
This book reports on cutting-edge research carried out within the context of the EU-funded Dicode project, which aims at facilitating and augmenting collaboration and decision making in data-intensive and cognitively complex settings. Whenever appropriate, Dicode builds on prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze, and aggregate data from diverse, extremely large and rapidly evolving sources. The Dicode approach and services are fully explained and particular emphasis is placed on deepening insights regarding the exploitation of big data, as well as on collaboration and issues relating to sense-making support. Building on current advances, the solution developed in the Dicode project brings together the reasoning capabilities of both the machine and humans. It can be viewed as an innovative “workbench” incorporating and orchestrating a set of interoperable services that reduce the data intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and effective in their work practices.