Hybrid Binary Dragonfly Algorithm with Simulated Annealing for Feature Selection.

Unlabelled: There are various fields are affected by the growth of data dimensionality. The major problems which are resulted from high dimensionality of data including high memory requirements, high computational cost, and low machine learning classifier performance. Therefore, proper selection of relevant features from the set of available features and the removal of irrelevant features will solve these problems.

Nexus between green finance and climate change mitigation in N-11 and BRICS countries: empirical estimation through difference in differences (DID) approach.

Green finance is inextricably linked to investment risk, particularly in emerging and developing economies (EMDE). This study uses the difference in differences (DID) method to evaluate the mean causal effects of a treatment on an outcome of the determinants of scaling up green financing and climate change mitigation in the N-11 countries from 2005 to 2019. After analyzing with a dummy for the treated countries, it was confirmed that the outcome covariates: rescon (renewable energy sources consumption), population, FDI, CO, inflation, technical corporation grants, domestic credit to the private sector, and research and development are very significant in promoting green financing and climate change mitigation in the study countries.

Assessing the nexus between knowledge management and firm performance: A data article.

This data article highlights the contingent role of company size in the relationship between knowledge management practices and firm performance. It also investigates the possible direct impact of these practices on performance. Data was collected from managers in large and medium-sized industrial companies in Jordan, using a self-administered questionnaire.

Dataset on the Marine Sustainability in the United Arab Emirates.

This data compiles the relevant indicators on measuring the UAE's attainments towards sustaining marine life and coastal ecosystems. Those indicators are compiled from three databases, namely from the United Nations, Bertelsmann-Stiftung (BS) Foundation, and the Ocean Health Index (OHI). While the UN and BS indicators are widely accepted in measuring sustainability, many of the indicators in these databases are ambiguous and incomplete.

Text Mining in Biomedical Domain with Emphasis on Document Clustering.

Objectives: With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published. Text mining techniques enable the extraction of unknown knowledge from unstructured documents.

Methods: This paper reviews text mining processes in detail and the software tools available to carry out text mining.