Abstract Autonomous vehicles require high-level semantic maps, which contain the activities of pedestrians and cars, to ensure safe navigation. High-level semantics can be obtained from mobile probe sensor data. Analyzing pedestrian trajectories data is an effective approach avoid collisions between autonomous pedestrians. Such analyses generate new information such as behaviors in violation tr...

Recently, the close relationship between big data and knowledge management has become one of important agendas businesses. The aim this study is to systematize literature on from a bibliometric perspective create general framework for past, present future field. examined 622 papers acquired Clarivate Analytics Web Science (WoS) Core Collection database 2013 2020. results showed that annual grow...

This paper is a tutorial on Formal Concept Analysis (FCA) and its applications. FCA is an applied branch of Lattice Theory, a mathematical discipline which enables formalisation of concepts as basic units of human thinking and analysing data in the object-attribute form. Originated in early 80s, during the last three decades, it became a popular human-centred tool for knowledge representation a...

In recent years, the exponentially growing amount of data made traditional data analysis methods impractical. Knowledge discovery in databases (KDD) provides a framework for alternative methods that address this problem. In this research we follow the KDD process, develop a mathematical model of transforming data and information into knowledge and create a clustering data mining algorithm. To t...

Using theater and performance, the building of “We are not Others” brought into discussion—How does researcher ethically “code” data to re-present stories Women Immigrants who understood as Other achieve social justice goals? This article explores these questions asks, “What is purpose politics an embodied performance of/by for White audiences?” These framed processes creating re-telling were i...

A novel conception of Knowledge Lake, i.e., a Contextualized Data Lake is to be soundly educated. The deliberated big-data practices pave means for the erection Intelligent Lakes and that being resources applications analytics. This analysis likewise opens welfares, disputes, exploration prospects Lakes. Science launched as an influential discernment through businesses. Organizations today are ...

Extracting knowledge from high-dimensional data has been notoriously difficult, primarily due to the so-called "curse of dimensionality" and complex joint distributions these dimensions. This is a particularly profound issue for gravitational wave analysis where one requires conduct Bayesian inference estimate posterior distributions. In this study, we incorporate prior physical by sampling des...