Titlebook: Conceptual Modeling; 37th International C Juan C. Trujillo,Karen C. Davis,Mong Li Lee Conference proceedings 2018 Springer Nature Switzerla

catagen

Recent Trends of Big Data Platforms and Applicationshese environmental changes, MapReduce and Hadoop significantly contributed to making big data processing prevalent in these days. Hadoop, which is an open-source implementation of MapReduce, enables us to achieve high-performance computing with only commodity machines, but without requiring expensive mainframe computers.

折磨

Morphine

An In-Depth Benchmarking Study on Bill of Materials for High-End Manufacturingeries that are widely used in high-end manufacturing. Third, we conduct an in-depth evaluation over both relational databases and graph databases that can be used to manage BOMs, and establish a unified evaluation benchmark for querying and modifying BOMs stored in different database systems.

美麗的寫(xiě)

The Common Ontology of Value and Riskion of risk is irreducibly intertwined with the notion of value and, more specifically, that risk assessment is a particular case of value ascription. As a result, we propose a concrete artifact, namely, the Common Ontology of Value and Risk, which we employ to harmonize different conceptions of risk existing in the literature.

Fabric

Towards Conceptual Models for Machine Learning Computationsls can dramatically increase reusability of large-scale ML analytics, while decreasing their roll-out time and cost. Also, they will support novel solutions to time-honored issues of analytics like non-uniform data veracity, privacy and latency profiles.

GROUP

A Reference Framework for Conceptual Modelingcussion among researchers in the field, and help researchers and practitioners in other fields understand what the field of conceptual modeling has to offer as well as contribute to its continued, extended influence in multiple domains.

Abduct

安撫

Malaise

Reification and Truthmaking Patternspose in this paper a systematic analysis of . for properties and relations based on the ontological nature of their truthmakers. Truthmaking patterns will be presented as generalization of reification patterns, accounting for the fact that, in some cases, we do not reify a property or a relationship directly, but we rather reify its truthmakers.

火花

Conference proceedings 2018, spatio-temporal modeling, cloud-based modeling, schema and view modeling,languages and models, NoSQL modeling,?conceptual modeling for machine learning and reasoning,?applications of conceptual modeling..