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Zeitschrift

Knowledge and Information Systems

An International Journal

Knowledge and Information Systems OnlineFirst articles

19.05.2018 | Regular Paper

Multi-label classification using stacked hierarchical Dirichlet processes with reduced sampling complexity

Nonparametric topic models based on hierarchical Dirichlet processes (HDPs) allow for the number of topics to be automatically discovered from the data. The computational complexity of standard Gibbs sampling techniques for model training is …

19.05.2018 | Regular Paper

Rough filters based on residuated lattices

The paper is devoted to introduce the notion of rough sets within the context of residuated lattices. By considering the notion of a residuated lattice, we concern a relationship between rough sets theory and residuated lattices theory. We shall …

18.05.2018 | Regular Paper Open Access

A comprehensive empirical comparison of hubness reduction in high-dimensional spaces

Hubness is an aspect of the curse of dimensionality related to the distance concentration effect. Hubs occur in high-dimensional data spaces as objects that are particularly often among the nearest neighbors of other objects. Conversely, other …

18.05.2018 | Regular Paper

Sentiment analysis using semantic similarity and Hadoop MapReduce

Sentiment analysis or opinion mining is a domain that analyses people’s opinions, sentiments, evaluations, attitudes, and emotions from a written language; it had become a very active area of scientific research in recent years, especially with …

18.05.2018 | Regular Paper

Expert deduction rules in data mining with association rules: a case study

An approach to dealing with domain knowledge in data mining with association rules is introduced. We deal with association rules with remarkably enhanced syntax. This opens various possibilities for both logical and expert deduction. An expert …

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Über diese Zeitschrift

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 kais@cs.uvm.edu for further information.

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