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Scatterplots commonly use color to encode categorical data. However, as datasets increase in size and complexity, the efficacy of these channels may vary. Designers lack insight into how robust different design choices are to variations in category ...

We study concrete sheaf models for a call-by-value higher-order language with recursion. Our family of sheaf models is a generalization of many examples from the literature, such as models for probabilistic and differentiable programming, and fully ...

Molodtsov, initiated the concept of soft set theory, which can be used as a generic mathematical tool for dealing with uncertainty. In the paper entitled “The Category of Soft Sets”, we studied the category of soft sets, and we proved that the category of ...

Smart cities offer smart security solutions against cyber-attacks to the communities. Android-based smart devices have emerged as the best-selling artefact in the market. Due to this popularity and all-embracing usage, the Android operating system (OS) ...

Defects in infrastructure as code (IaC) scripts can have serious consequences, for example, creating large-scale system outages. A taxonomy of IaC defects can be useful for understanding the nature of defects, and identifying activities needed to fix and ...

We give an algebraic definition of a Markowitz market and classify markets up to isomorphism. Given this classification, the theory of portfolio optimization in Markowitz markets without short selling constraints becomes trivial. Conversely, this ...

In item searches on shopping sites, customers must find the items they want from among many products. As one method of narrowing down products, the customer currently selects a category and posts queries related to the item in it. However, in such ...

Automatic taxonomy construction aims to build a categorization system without human efforts. Traditional textual pattern based methods extract hyponymy relation in raw texts. However, these methods usually yield low precision and recall. In this paper, ...

In this paper, the concepts of algebraic L-closure system and algebraic L-closure operators are introduced from the fuzzy point of view. It is shown that the category of algebraic L-closure spaces is isomorphic to the category of algebraic L-closure ...

Based on a complete residuated lattice, algebraic fuzzy closure operators and algebraic fuzzy closure L-systems on a fuzzy complete lattice are defined and investigated. We establish a “one-to-one” correspondence between algebraic fuzzy closure operators ...

Topic models have been widely applied in discovering topics that underly a collection of documents. Incorporating human knowledge can guide conventional topic models to produce topics which are easily interpreted and semantically coherent. Several ...

In the marketing domain, models of grocery buying behavior consider purchase incidence as a key dimension. However, in recommender systems, timing is often subsumed under contextual information and has received little attention yet. For this reason, we ...

The goal of this study is to consider the natural interrelations between all of the (fuzzy) soft topological spaces in the categorical viewpoint. For this reason, the categories of (fuzzy) soft topological spaces are constructed and then the relations ...

The potential impact of blood flow simulations on the diagnosis and treatment of patients suffering from vascular disease is tremendous. Empowering models of the full arterial tree can provide insight into diseases such as arterial hypertension and ...

Recommender systems are routinely equipped with standardized taxonomy that associates each item with one or more categories or genres. Although such information does not directly imply the quality of an item, the distribution of ratings vary greatly ...

When searching for place entities such as businesses or points of interest, the desired place may be close (finding the nearest ATM) or far away (finding a hotel in another city). Understanding the role of distance in predicting user interests can guide ...

The article considers various methods for classification of a set of objects into two classes when all the attributes are categorical (nominal or factor attributes), i.e., describe the membership of an object in a category. Some methods are a simple ...

Existing algorithms of post ranking in a blogosphere do not consider the information on categories and timestamps of posts, which is valuable to improve the accuracy of post rankings. The category, created by a blogger, implies her/his interesting ...

The existing post ranking algorithms overlook the category and the time interval, which are valuable information to improve the accuracy of algorithms. The category, created by a blogger, implies the interested topics of her/him, and the time interval ...

The growth of online social networks has seen the utilisation of these network graphs for the purpose of providing recommendations. Automated recommendations, however, do not take into account inter-personal trust levels that exist in a social network. ...