Knowledge and Inf Systems icône

3.02 by Springer


Dec 20, 2015

À propos de Knowledge and Inf Systems

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Official app of Knowledge and Information Systems

Tap into the most recent developments on all topics related to knowledge systems and advanced information systems with the Knowledge and Information Systems app. Knowledge and Information Systems is an international peer-reviewed journal published by Springer Science+Business Media that publishes state-of-the-art research reports on emerging topics in KAIS, reviews of important techniques in related areas, and application papers of interest to a general readership written by leading members of the field.

This free app provides valuable features including:

- Save and share articles

- Advanced search

- Document details - including abstracts

Coverage includes the following areas:

-Knowledge and information processing: theory, techniques and systems, including: knowledge and data engineering; decision support; active and dynamic systems; data sharing and warehousing; temporal and spatial database processing; intelligent information retrieval; learning and adaptation; knowledge discovery and data mining; artificial life; modelling and object orientation; software re-engineering; co-operativeness, interoperability and software re-usability; human-computer interaction; hypertext, hypermedia and multimedia; and data and knowledge visualization.

-Underlying computational techniques, including: soft computing (including neural nets, fuzzy logic, probabilistic reasoning, and rough set theory); evolutionary computing; hybrid computing; uncertainty management; and agent architectures and systems (including multi-agent scenarios).

-Platforms, including: high performance computing systems; distributed intelligent systems; and mobile systems.

-Application to specific problem domains, including: biomedical systems; geographical systems; software information systems; and emerging applications (such as Internet technologies and digital libraries).

Knowledge and Information Systems (KAIS) provides an international forum for researchers and professionals to share their knowledge and report new advances on emerging topics in knowledge and information systems and examines knowledge systems and advanced information systems, including their theoretical foundations, infrastructure and enabling technologies written by leading members of the field.

Quoi de neuf dans la dernière version 3.02

Last updated on Dec 20, 2015

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