Producción Científica

Architecture has a wide range of disciplinary action that encompasses social sciences, art and humanities, and engineering. Thus, this paper aims to characterize the practices of editorial production, information consumption and impact present in the Revista de Arquitectura (Bogota). To achieve this end, a descriptive and retrospective study was carried out, based on bibliometric indicators and founded on original articles, peer reviewed and published in the three main sections of the journal. As a result of this, a constant and homogeneous publication was identified in the three sections, but with differences in the dynamics of production and consumption of information, being in the TMS section where there is a greater number of bibliographic references and a better Price index; also, the use of journals and literature in English stands out. In the CUE section, a concentration of literature in Spanish was observed, and a balance between the dates of the references every five years. In the case of PAU, a greater internationalization and a preference for books and use of references dated over 15 years was observed. In general, a positive impact was observed by citation and alternative metrics.

In this era of technology, data of business organizations are growing with acceleration. Mining hidden patterns from this huge database would benefit many industries improving their decision-making processes. Along with the non-sensitive information, these databases also contain some sensitive information about customers. During the mining process, sensitive information about a person can get leaked, resulting in a misuse of the data and causing loss to an individual. The privacy preserving data mining can bring a solution to this problem, helping provide the benefits of mined data along with maintaining the privacy of the sensitive information. Hence, there is a growing interest in the scientific community for developing new approaches to hide the mined sensitive information. In this research, a bibliometric review is carried out during the period 2010 to 2018 to analyze the growth of studies regarding the confidential information privacy preservation through approaches addressed to the hiding of association rules of data. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs.