Knowledge and Information Systems
An International Journal
Knowledge and Information Systems (KAIS) provides an international forum for researchers and professionals to share their knowledge and report new advances on all topics related to knowledge systems and advanced information systems. This monthly peer-reviewed archival journal 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.
The journal focuses on knowledge systems and advanced information systems, including their theoretical foundations, infrastructure and enabling technologies. We solicit submissions of original research, and experience and vision papers that address this theme.
We publish critical review papers to discuss the state of the art in particular areas, as well as state-of-the-art research reports. Accepted papers are grouped for publication so that individual issues focus on a small number of theme areas. In addition to archival papers, the journal also publishes significant on-going research in the form of Short Papers (limited to 3000 words), and very short papers on "visions and directions" (no more than 1000 words, excluding bibliography). We conduct reviews in a timely fashion and inform authors of decisions with a target turnaround time of 3 months.
Selected papers from relevant conferences are welcome. Good papers with high quality reviews can be accepted after the expansion and revision is verified by an Associate Editor of the Editorial Board. Conference organizers are invited to contact the Editor-in-Chief email@example.com for further information.
A hybrid isotonic separation training algorithm with correlation-based isotonic feature selection for binary classification
- Journal Title
- Knowledge and Information Systems
- Volume 1 / 1999 - Volume 59 / 2019
- Print ISSN
- Online ISSN
- Springer London
- Additional Links
- Industry Sectors
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