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The effect of data standardization in cluster analysis
(Associa????o Brasileira de Energia Nuclear, 2019)
ITEA—interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data
(Springer, 2016-06-10)
Widespread use of GPS and similar technologies makes it possible to collect extensive amounts of trajectory data. These data sets are essential for reasonable decision making in various application domains. Additional ...
Conceptual model for adaptable and extensible visual data exploration
(2004-12-01)
Interactive visual representations complement traditional statistical and machine learning techniques for data analysis, allowing users to play a more active role in a knowledge discovery process and making the whole process ...
Conceptual model for adaptable and extensible visual data exploration
(2004-12-01)
Interactive visual representations complement traditional statistical and machine learning techniques for data analysis, allowing users to play a more active role in a knowledge discovery process and making the whole process ...
Energy efficiency in buildings: analysis of scientific literature and identification of data analysis techniques from a bibliometric study
(2018-03-01)
This study uses bibliometrics methods to analyze the specialized literature of energy efficiency in buildings, including the Scopus database during the period of time ranging from 1980 to 2016, to identify the most relevant ...
Functional data analysis for Brazilian term structure of interest rate curves
(Lociedade Brasileira de Finanças, 2022)
Dia Is Not A New Mass Spectrometry Acquisition Method
(Wiley-BlackwellHoboken, 2017)
Human development and data envelopment analysis: a structured literature review
(Elsevier B.V., 2015-07-01)
Given the importance the concept of productive efficiency has on analyzing the human development process, which is complex and multidimensional, this study conducts a literature review on the research works that have used ...
SEONT: Semantics & mapping exercise to add structure to messy socio-economic dataWebinar- SEONT, the Socio-Economic Ontology
(CGIAR Platform for Big Data in Agriculture, 2021)