Review of Fear and Fortune

Mette High’s Fear and Fortune is an anthropological text which explores how Mongolians in Uyanga adapt to and navigate the artisanal mining (ninja mining) as a viable and preferred way of life to herding. Fraught with issues of pollution (as a social ordering concept) and morality, ninja mining and gold money carries with it great risk of misfortune. With an extended fieldwork spanning two-and-a-half years, High unpacks how the cosmoeconomy of the Mongolian gold rush in Uyanga challenges conventional ideas of economics, exchange, money, and morality

A New Similarity Measure for Document Classification and Text Mining

Accurate, efficient and fast processing of textual data and classification of electronic documents have become an important key factor in knowledge management and related businesses in today’s world. Text mining, information retrieval, and document classification systems have a strong positive impact on digital libraries and electronic content management, e-marketing, electronic archives, customer relationship management, decision support systems, copyright infringement, and plagiarism detection, which strictly affect economics, businesses, and organizations. In this study, we propose a new similarity measure that can be used with k-nearest neighbors (k-NN) and Rocchio algorithms, which are some of the well-known algorithms for document classification, information retrieval, and some other text mining purposes. We have tested our novel similarity measure with some structured textual data sets and we have compared the results with some other standard distance metrics and similarity measures such as Cosine similarity, Euclidean distance, and Pearson correlation coefficient. We have obtained some promising results, which show that this proposed similarity measure could be alternatively used within all suitable algorithms, methods, and models for text mining, document classification, and relevant knowledge management systems. Keywords: text mining, document classification, similarity measures, k-NN, Rocchio algorith

Association rule mining in cooperative research

The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.Title from PDF of title page (University of Missouri--Columbia, viewed January 26, 2010).Thesis advisor: Dr. Cerry M. Klein.M.S. University of Missouri--Columbia 2009.This study applies the data mining methods in economics research. Association rule mining and clustering techniques are used in the cooperative (United Producers, Inc) survey study, in order to find interesting patterns within the organization, especially the relationships between the company's strategies, members' characteristics, and the potential free riding problem. The data mining methods are evaluated and compared with the traditional statistics model to find the differences and similarities. Through our study, we can find data mining methods can be applied in the economics research. They can be used as a complement way to find out the hidden relationships within the organization, and construct the similar models as the traditional regression method.Includes bibliographical references

Macrodynamics of economics: a bibliometric history

A history of specialties in economics since the late 1950s is constructed on the basis of a large corpus of documents from economics journals. The production of this history relies on a combination of algorithmic methods that avoid subjective assessments of the boundaries of specialties: bibliographic coupling, automated community detection in dynamic networks and text mining. these methods uncover a structuring of economics around recognizable specialties with some significant changes over the time-period covered (1956-2014). Among our results, especially noteworthy are (a) the clearcut existence of 10 families of specialties, (b) the disappearance in the late 1970s of a specialty focused on general economic theory, (c) the dispersal of the econometrics-centered specialty in the early 1990s and the ensuing importance of specific econometric methods for the identity of many specialties since the 1990s, (d) the low level of specialization of individual economists throughout the period in contrast to physicists as early as the late 1960s

Technical appendix to Macrodynamics of economics: a bibliometric history

A history of specialties in economics since the late 1950s is constructed on the basis of a large corpus of documents from economics journals. The production of this history relies on a combination of algorithmic methods that avoid subjective assessments of the boundaries of specialties: bibliographic coupling, automated community detection in dynamic networks, and text mining. These methods uncover a structuring of economics around recognizable specialties with some significant changes over the period covered (1956–2014). Among our results, especially noteworthy are (1) the clear-cut existence of ten families of specialties, (2) the disappearance in the late 1970s of a specialty focused on general economic theory, (3) the dispersal of the econometrics-centered specialty in the early 1990s and the ensuing importance of specific econometric methods for the identity of many specialties since the 1990s, and (4) the low level of specialization of individual economists throughout the period in contrast to physicists as early as the late 1960s

Augmented Reality in Business and Economics: Bibliometric and Topics Analysis

Augmented reality enhances the sensory experience of the real world, often across multiple senses such as visual, hearing, tactile and sensorimotor, with technology using computer-generated sensory input. Current literature reviews of augmented reality mainly focus on its generic usage or specific topics, such as medicine or tourism. However, augmented reality has become one of the prevalent topics in business and economics since it is one of the main growth drivers of disruptive companies. Since many companies are considering its usage in their business models, there is a lack of literature review in business and economics. Therefore, this paper aims to present a literature review of the scientific research that investigates the broad range of usage of augmented reality in business and economics. Web of Knowledge has been searched with the keywords "augmented reality" within the research area of business and economics for 2017-2021. Bibliometric analysis has been conducted to investigate the main journals, conferences, authors and countries. Finally, text mining with VosViewer has been conducted to extract the main topics, which are: (i): Technologies; Education; (ii) e-Commerce; Retailing; (iii) Tourism; User Experience; (iv) Consumers; Purchase. The results indicate that the research of augmented reality in business and economics focused on various applications, among which education is one of the emerging ones

Text Analytics for Android Project

Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and emotion analysis, document summarization, entity relation modelling, interpretation of the output. Already existing text analytics and text mining cannot develop text material alternatives (perform a multivariant design), perform multiple criteria analysis, automatically select the most effective variant according to different aspects (citation index of papers (Scopus, ScienceDirect, Google Scholar) and authors (Scopus, ScienceDirect, Google Scholar), Top 25 papers, impact factor of journals, supporting phrases, document name and contents, density of keywords), calculate utility degree and market value. However, the Text Analytics for Android Project can perform the aforementioned functions. To the best of the knowledge herein, these functions have not been previously implemented; thus this is the first attempt to do so. The Text Analytics for Android Project is briefly described in this article