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Journal

Knowledge and Information Systems

An International Journal

Knowledge and Information Systems OnlineFirst articles

21-10-2021 | Regular Paper

Generalized maximal utility for mining high average-utility itemsets

Mining high average-utility itemsets (HAUIs) is a promising research topic in data mining because, in contrast to high utility itemsets, they are not biased toward long itemsets. Regardless of what upper bounds and pruning strategies are used …

11-10-2021 | Regular Paper

Adaptive weighted least squares regression for subspace clustering

In this research paper, we consider the subspace clustering problem which aims at finding a low-dimensional representation of a high-dimensional data set. In particular, our central focus is upon the least squares regression based on which we …

13-09-2021 | Regular Paper

Transfer alignment network for blind unsupervised domain adaptation

How can we transfer the knowledge from a source domain to a target domain when each side cannot observe the data in the other side? Recent transfer learning methods show significant performance in classification tasks by leveraging both source and …

09-09-2021 | Regular paper

DyFT: a dynamic similarity search method on integer sketches

Similarity-preserving hashing is a core technique for fast similarity searches, and it randomly maps data points in a metric space to strings of discrete symbols (i.e., sketches) in the Hamming space. While traditional hashing techniques produce …

08-09-2021 | Regular Paper

Word and graph attention networks for semi-supervised classification

Graph attention networks are effective graph neural networks that perform graph embedding for semi-supervised learning, which considers the neighbors of a node when learning its features. This paper presents a novel attention-based graph neural …

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About this 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 kais@cs.uvm.edu for further information.

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