“data complexity” papers · AI for Research

Data of the research paper: Sectoral economic complexity and environmental degradation: a sectoral perspective on the EKC hypothesis.Files included correspond to:1. Countries_Income_Classification.xlsx: Data of all 127 countries considered in the study, with respective World Bank income classifications for each year between 1995 and 2020.2. Sectors_Products_Classification.xlsx: Data of the 12 economic sectors considered in the study, with the respective 5,011 products assigned to their respecitve sector.3. Regressions_SCI_Data.xlsx: Data of the calculated Sectoral Complexixty Index (SCI) values with the respective CO2 emissions and control variables that were used in the regressions.4. Regression_Coefficients.xlsx: Coefficients with their respective t-values obtained from the quantiles regression model used in the study.

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CEO cognitive complexity data

Daniel Zyung · OSF Preprints (OSF Preprints) · 2022

Cited by 0

Sectoral Economic Complexity Data

Montagna, Sebastian · Figshare · 2024

Data of the research paper: Sectoral economic complexity and environmental degradation: a sectoral perspective on the EKC hypothesis.Files included correspond to:1. Countries_Income_Classification.xlsx: Data of all 127 countries considered in the study, with respective World Bank income classifications for each year between 1995 and 2020.2. Sectors_Products_Classification.xlsx: Data of the 12 economic sectors considered in the study, with the respective 5,011 products assigned to their respecitve sector.3. Regressions_SCI_Data.xlsx: Data of the calculated Sectoral Complexixty Index (SCI) values with the respective CO2 emissions and control variables that were used in the regressions.4. Regression_Coefficients.xlsx: Coefficients with their respective t-values obtained from the quantiles regression model used in the study.

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LEGO Data For Complexity Study

Christoph Bartneck · Figshare · 2017

This is the data sets for our paper entitle "LEGO Has Become More Complex".

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Data, Formalisation and Complexity Measures

2011

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et a ̀ la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Non-Canonical Inflection:

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Complexity Inequality and Internet data

Diaz, Nicolas · Figshare · 2024

This is the data used in the research "Complexity Inequality and Internet". Inequality is quantified using the Gini coefficient after taxes and transfers, sourced from the Standardized World Income Inequality Database, incorporating data from the OECD, World Bank, and ECLAC (Solt, 2020). Explanatory variables include the Economic Complexity Index (ECI) from the Atlas of Economic Complexity (The Growth Lab at Harvard University, 2019), normalized within a range of -3 to +3; real GDP per capita in 2017 US dollars from the Penn World Table (Feenstra, et al., 2015); and internet access, measured as the percentage of the population using this service (The World Bank, 2023). The dataset comprises 126 countries with data spanning from 1995 to 2020.

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Data Science and Strategic Complexity

Christophe Bisson, Thierry Warin · 2020

Big data and noise are becoming a nuisance for companies, with devastating consequences. Companies are not only wasting vast amounts of their money on detecting irrelevant signals but are also forced into a false competition on mastering information. Such a phenomenon, if gone undetected, can unwittingly create occupational 'blindness' and 'deafness', allowing data issues to become a burden rather than an advantage. Hybridizing strategy and A.I. will lead decision intelligence to the next level as a new paradigm, strategic complexity.

Cited by 2

Data complexity in machine learning

Ling Li, Yaser S. Abu‐Mostafa · CaltechAUTHORS (California Institute of Technology) · 2006

We investigate the role of data complexity in the context of binary classification problems. The universal data complexity is defined for a data set as the Kolmogorov complexity of the mapping enforced by the data set. It is closely related to several existing principles used in machine learning such as Occam's razor, the minimum description length, and the Bayesian approach. The data complexity can also be defined based on a learning model, which is more realistic for applications. We demonstrate the application of the data complexity in two learning problems, data decomposition and data pruning. In data decomposition, we illustrate that a data set is best approximated by its principal subsets which are Pareto optimal with respect to the complexity and the set size. In data pruning, we show that outliers usually have high complexity contributions, and propose methods for estimating the complexity contribution. Since in practice we have to approximate the ideal data complexity measures, we also discuss the impact of such approximations.

Cited by 22Open access

Complexity of seven-sets data.

Gem Stapleton (6523949), Peter Chapman (3167526), Peter Rodgers (599939) et al. · Figshare · 2019

Cited by 0Open access

Complexity Inequality and Internet data

Diaz, Nicolas · Figshare · 2024

This is the data used in the research "Complexity Inequality and Internet". Inequality is quantified using the Gini coefficient after taxes and transfers, sourced from the Standardized World Income Inequality Database, incorporating data from the OECD, World Bank, and ECLAC (Solt, 2020). Explanatory variables include the Economic Complexity Index (ECI) from the Atlas of Economic Complexity (The Growth Lab at Harvard University, 2019), normalized within a range of -3 to +3; real GDP per capita in 2017 US dollars from the Penn World Table (Feenstra, et al., 2015); and internet access, measured as the percentage of the population using this service (The World Bank, 2023). The dataset comprises 126 countries with data spanning from 1995 to 2020.

Cited by 0Open access

Measurement of data structure complexity

John C. Munson, Taghi M. Kohshgoftaar · Journal of Systems and Software · 1993

Cited by 44

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