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Opinion mining, a critical subfield of natural language processing, seeks to extract and analyze user-generated expressions. This paper proposes a novel Multi-Task Opinion Mining framework that integrates psychological i...

Mining development is of prime importance for economic growth, industrialization, and resilience, particularly for countries rich in minerals, such as Iran. Using an excellent multicriteria decision-making (MCDM) method,...

Abstract The concept of sustainability capital has been gaining momentum worldwide, and companies are encouraged to report on sustainability capital in their integrated reports. Companies are now starting to shift their ...

This article looks at the politics of coal mining in East Kalimantan in Indonesia and La Guajira in Colombia. The focus is on government power and business interests. In a Marxian theoretical framework, the study questio...

ABSTRACT The analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device fai...

Mining activities in the Kenyan Marble Quarries (KMQ) are a potential source of atmospheric pollution, raising health concerns for the local population. This study aims to examine the extent to which marble mining contri...

Background: In South Africa’s gold-mining sector, aligning talent with organisational strategy is critical for operational sustainability and competitiveness. However, the effective implementation of talent management...

The coal mining areas spanning the Inner Mongolia-Shaanxi border represent both a quintessential ecologically vulnerable zone and a critically important coal production base in China. However, large-scale, high-intensity...

Spotify, known as one of the best music streaming platforms, has played an important role in changing how listeners access, enjoy and interact with music. With millions of songs and extensive user data, Spotify provides ...

BPNT (Non-Cash Food Assistance) is food social assistance in non-cash form from the government which is given to Beneficiary Families (KPM) every month. In its implementation, BPNT is still encountering a number of obsta...

Perumda Air Minum Tirta Silaupiasa Asahan Regency is a regional company that has the authority to provide clean water consumption needs for the community in Asahan Regency. Currently, clean water needs, especially for ho...

This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

BackgroundThe surface subsidence induced by coal seam mining represents a continuous dynamic evolution process. Constructing a full-time perdition model for surface subsidence in goafs holds significant theoretical and p...

Presentamos una síntesis de lo que conocemos hasta el momento sobre las actividades mineras y metalúrgicas prehispánicas desarrolladas en el territorio de la actual provincia de Jujuy (Argentina). Para ello, se analiz...

The validity of research findings critically depends on the selection of software samples. However, Mining Software Repositories studies often rely on outdated datasets and lack systematic, transparent procedures for rep...

During this time, the determination of the mine coordinates location done by the fieldman of PT. Kalimantan Earth Results was using a GPS locator. Found 27 points of coal mines and 18 coal ports spread across the souther...

We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an efficient algorithm that generates all significant association rules between it...

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression an...

In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets an...

Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disci...

Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussi...

"In sequential pattern mining, languages based on regular expressions (RE) were proposed to restrict frequent sequences to the ones that satisfy user-specified constraints. In these languages, REs are applied over items....

Since huge amounts of spatial data can be easily collected from various applications, ranging from remote sensing technology to geographical information system, the extraction and comprehension of spatial knowledge is a ...

SUMMARY: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis ta...