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Several interdisciplinary studies highlight imperfect information as a possible explanation of skill mismatches, which in turn has implications for unemployment and informality rates. Despite information failures and the...

Las minas de Riotinto fueron en la antigüedad uno de los mayores complejos industriales de producción metálica. De esa producción queda aún hoy el testimonio de sus escoriales, que hasta hace pocos años no han sido...

Aircrafts are one of the most important means of transportation today. For aircrafts to be able to serve safely, their maintenance must be done in a timely and complete manner. In addition to regular maintenance, it may ...

To solve the problem of lack of market insight and insufficient innovation creativity in entrepreneurship of college students, this paper aims to explore the application of data mining and predictive analysis technology ...

Prediksi harga pangan merupakan proses analisis yang diperlukan oleh sebuah sistem pada distribusi penjualan, metode yang bisa digunakan untuk prediksi salah satu  adalah teknik data mining. Data mining didefinisikan se...

Marketplace platforms have become a central component of digital commerce, particularly in Southeast Asia where Shopee has emerged as one of the dominant e-commerce ecosystems. The increasing number of sellers on the pla...

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...

Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous studies adopt an Apriori-like candidate...

“La tecnología KDD está basada en un bien definido proceso KDD de múltiples pasos, para el descubrimiento de conocimiento en grandes colecciones de datos. El proceso KDD es iterativo por naturaleza, y depende de la ...

We discuss how data mining, patternbases and databases can be integrated into inductive databases, which make data mining an inductive query process. We propose a software architecture for such inductive databases, and e...

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 this paper a methodology for accesing scientific data repositories on data grids is proposed. This methodology is based on ontology specification and knowledge representation. The concept of Knowledge Perspective is i...

Descoberta de Conhecimento em Bases de Dados" ("Knowledge Discovery in Databases", KDD) é um processo composto de várias fases iniciando com a coleta de dados para o problema e finalizando com a avaliação dos resulta...

This article proposes a method for achieving an appropriate balance between the parameters of support, precision, and simplicity during the evolution of classification rules by means of genetic programming. The method in...

Clustering task aims at the unsupervised classification of patterns (e.g., observations, data, vec- tors, etc.) in different groups. Clustering problem has been approached from different disciplines during the last years...

El presente trabajo describe un Proyecto de Minería de Datos en el ámbito de la información criminal, analizando los homicidios dolosos cometidos en la República Argentina mediante una herramienta de distribución li...

La obtención de conocimiento a partir de la información existente es un proceso no trivial que consiste en identificar patrones válidos, novedosos, potencialmente útiles y comprensibles a partir de los datos disponib...

This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision tr...

This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision t...

El problema del descubrimiento de reglas de asociación radica en la necesidad de descubrir patrones en una base de datos de transacciones conocido como análisis de canasta de mercado, teniendo en cuenta el carácter te...

El descubrimiento de las Reglas de Asociación es una de las técnicas de Data Mining. Tiene como objetivo buscar patrones interesantes (reglas) para el soporte en los procesos de tomas de decisiones. Las Reglas de Asoci...

La Explotación de Información (en inglés Information Mining, IM) consiste en la extracción de conocimiento no-trivial que reside de manera implícita en los datos disponibles en distintas fuentes de información. Dic...

An application of Zadeh’s prototype theory in the Knowledge Acquisition process, is presented here, and as a practical example, to define a method for predicting the evolution of the forest fire occurrence-danger rate ...