Purpose: The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational,...

Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that...

When does the Federal Reserve deviate from its dual mandate of pursuing the economic goals of maximum employment and price stability and what are the consequences? We assemble the most comprehensive collection of Federal Reserve speeches to-date and apply state-ofthe-art natural language...

Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to data uncertainty has raised great interest in the machine learning literature. This paper aims to construct robust support vector machine classifiers under feature data...

The aim of this paper is to assess the level of success achieved by entrepreneurs. The concept of success has many subjective facets, and it needs to be evaluated to reach other higher objectives, such as improving support systems for entrepreneurs. The usual pre-existing focuses for the...

We evaluate the performance of common stock trade classification algorithms including the quote, tick, Lee and Ready (1991), and Ellis, Michaely, and O’Hara (2000) rule to infer the trade direction of option trades. Using a large sample of matched intraday transactions and Open/Close data, we...

Knowledge management is essential to modern organizations. Due to the information overload problem, mangers are facing critical challenges in utilizing the data in the organizations. Although several automated tools have been applied, previous applications often deem knowledge items independent...

Research Aims: The Freemium business model is becoming increasingly prominent in the current digital economy. In the mobile game market, total revenue from free-to-download apps is overtaking those from paid apps. The purpose of this article is to propose a taxonomy that examines and categorizes...

Background and objectives: Atrial fibrillation (AF) is a common and extremely harmful arrhythmia disease that leads to stroke and death. Several kinds of AF exist as paroxysmal AF, persistent AF, and permanent or chronic AF. Based on electrocardiograms (ECG), wavelet transform (WT), and...

Fault classification is the first step to mitigation in power system network, and the unique fault current profile of inverter interfaced renewable energy source causes malfunction of classifiers that works on conventional system. Inverters have internal protection schemes which trip during...

The company's sustainability is influenced by several internal and external factors, one of them is the turnover intention which has an impact on the weak loyalty of human resources. Based on the results of a survey, it shows the level of turnover intention is influenced by many factors. A high...

Leveraging the availability of a large panel of signed trade data in the corporate bond market,we explore how machine learning methods can be used to improve upon standard tradedirection classification methods in markets in general, both with and without pre-trade transparency.Using the signed...

This paper uses the Austrian theory of money, as developed mainly by Ludwig von Mises and Murray N. Rothbard to identify the separate economic processes commonly designated as “deflationary” and to determine whether they can be classified as “benign” or “malignant.”

Mit der Einführung der EU-Taxonomie möchte die Europäische Kommission den Grundstein zur Finanzierung nachhaltigen Wachstums und zur Umsetzung der europäischen Klimaziele legen. Die für die Umsetzung des EU Green Deals erforderlichen Investitionen für Umwelt- und Klimaschutz bis 2050 sind...

Die High-Level-Group for the Modernization of Official Statistics der Wirtschaftskommission der Vereinten Nationen für Europa hatte für die Jahre 2019 und 2020 ein Machine-Learning-Projekt initiiert. Das Projekt ermöglichte die Durchführung von Pilotstudien, um den Mehrwert maschinellen...

Wie ließe sich die große Vielfalt an funktionalen Geldsystemen systematisch erfassen und übersichtlich darstellen? Und, weil viele monetäre Wirkungsweisen umstritten sind, konkreter: Wie müsste eine grundlegende Wissensordnung zu Geldsystemen aufgebaut sein, damit sie für die untereinander...