Knowledge-Based Approaches to Intelligent Data Analysis

2020 ◽  
pp. 75-97
Author(s):  
Peter Bednár ◽  
Ján Paralič ◽  
František Babič ◽  
Martin Sarnovský
Keyword(s):  
Data Analysis ◽  
Intelligent Data Analysis ◽  
Knowledge Based

scholarly journals Intelligent data analysis of the influence of COVID-19 on the stock market using Case Based Reasoning

2020 ◽  
Vol 20 (2) ◽  
pp. e10
Author(s):  
Antonio Lorenzo Sánchez ◽  
Jose Olivas
Keyword(s):  
Data Analysis ◽  
Stock Market ◽  
Stock Markets ◽  
Case Based Reasoning ◽  
Use Case ◽  
Intelligent Data Analysis ◽  
Knowledge Based ◽  
Case Based

Starting with the differences between forecasting and prediction and going deeper into prediction, a knowledge-based model is presented. The evolution of the stocks markets are analyzed, as well as how the epidemics and pandemics prior to the stock markets have affected them and how it is currently being affected by covid-19. The defined model is applied to a use case using Case-Based Reasoning (CBR): it makes an analogy between the 2008 crisis with the covid-19 crisis in 2020 to predict whether the stock markets will take more or less time to recover.

Intelligent data analysis for wellbeing monitoring

2005 ◽  
Author(s):  
B. Majeed ◽  
T. Martin ◽  
N. Clarke ◽  
Beum-Seuk Lee
Keyword(s):  
Data Analysis ◽  
Intelligent Data Analysis

scholarly journals The Delimitation of Bipolar Metropolitan Area Within the Kujawsko-Pomorskie Region

2014 ◽  
Vol 5 (2) ◽  
pp. 101-122 ◽  
Author(s):  
Mirosław Biczkowski ◽  
Iwona Müller-Frączek ◽  
Joanna Muszyńska ◽  
Michał Bernard Pietrzak ◽  
Justyna Wilk
Keyword(s):  
Data Analysis ◽  
Regional Development ◽  
Metropolitan Area ◽  
Multivariate Data Analysis ◽  
Metropolitan Areas ◽  
Linear Arrangement ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Development Levels ◽  
Dual Core

The objective of the article was to re-define the bipolar metropolitan area within the area of the Kujawsko-Pomorskie region (NUTS 2). Concentration of metropolitan features, as well as socio-economic situations of its communes (NUTS 5) in 2011, and also the dynamics of communes’ development in the period 2009-2011 were considered in the procedure of delimitation. Bydgoszcz and Toruń, as the economically strongest cities in the region, were established as the dual core of the bipolar metropolitan area. It was assumed that the determined metropolitan area would cover the best developed and the fastest developing communes which met the following criteria of a metropolitan area: neighbourhood, continuity, compactness, maximum distance and population. The development levels of the communes were determined with the use of synthetic measure. Its values were calculated considering the economic (e.g. the amount of income) and also social (e.g. unemployment) aspects of regional development, as well as features typical of metropolitan areas, such as: well-developed sectors of R&D, knowledge-based economy and serving superior services. In the research, linear arrangement methods classifying as taxonomic tools of multivariate data analysis was applied. The metropolitan area resulting from the research (BipOM) slightly differs from the Bydgoszcz-Toruń Metropolitan Area (B-TOM) which was formally appointed in 2005 and composed all of the communes located within the area of the Bydgoski and Toruński districts (NUTS 4). Chełmża and Koronowo, as the less developed communes of the districts, were excluded from the new metropolitan area, while the communes of Ciechocinek, Nakło and Unisław, belonging to the neighbouring districts of the region, were included in the BipOM due to their significant level of regional development and its dynamics. Furthermore the Inowrocław district (bordered on the BipOM) was identified as the prospective candidate for the BipOM, due to the fact that its communes demonstrate a high potential for regional development.

scholarly journals Epistemic Matrices In The Construction Of Knowledge On Learning in Organizations

2020 ◽  
Vol 21 (3) ◽  
pp. 255-281
Author(s):  
Daniela Giareta Durante ◽  
Antonio Carlos Coelho
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Graduate Programs ◽  
Analysis Software ◽  
Closed Curves ◽  
Construction Of Knowledge ◽  
Knowledge Based ◽  
The Creation ◽  
Qualitative Data Analysis Software ◽  
Sociological Approaches

Our critical epistemic review examines how researchers deal with the creation of knowledge regarding learning in organizations from the standpoint of cognitive interests. We adopted the epistemic matrices’ analytical model elaborated by Paes de Paula (2016), who handles the creation of knowledge based on cognitive interests and epistemic reconstruction, as an alternative to the paradigms of Burrel and Morgan (1979). The object of analysis were dissertations defended in Brazilian stricto sensu graduate programs in Administration. The identification of cognitive interests in the dissertations was based on sociological approaches classified by the circle of epistemic matrices, which encompasses pure sociological approaches and sets of overlapping closed curves, forming hybrid sociological approaches. The latent and clear content of sociological approaches were collected and analyzed using the qualitative data analysis software Atlas.ti 7. We conclude that the technical and practical interests guide the creation of knowledge regarding learning in organizations – putting aside the emancipatory interest in our discussions. We also conclude that, in order to make contributions for the advancement of knowledge, our study must go beyond the aggregation of cognitive interests; it is necessary to investigate the postulates of sociological approaches to which the interests are connected.

Sign in / Sign up

Export Citation Format

Share Document