This work presents an overview of the text mining area, considering the most common
techniques, and including proposals based on the application of fuzzy sets. Besides, some …

The main aim of this paper is to present a revision of the most relevant results about the use
of Fuzzy Sets in Data Mining, specifically in relation with the discovery of Association Rules …

Tässä tutkimuksessa julkisten hankintojen kokonaisarvoa on laskettu kolmen keskeisen
rajauksen kautta: 1) laskentaan mukaan sisällytettävät hankintayksiköt, 2) kynnysarvon …

This article explores the possibility of disaggregating query/question information in e-
learning system online lectures or course recommendations. Information arrangement …

Analytics-as-a-Service (AaaS) has become indispensable because it affords stakeholders to
discover knowledge in Big Data. Previously, data stored in data warehouses follow some …

As text documents are explosively increasing in the Internet, the process of hierarchical
document clustering has been proven to be useful for grou** similar documents for …

This paper aims to examine the critical discourse on responses to worship regulations
during the coronavirus (COVID-19) pandemic. Diverse responses emanated from the media …

Tidak setiap manusia dapat melakukan diskoveri pengetahuan, perlu syarat-syarat siap
mendasari setiap diskoveri. Terdapat paradigma-paradigma yang mendasari diskoveri …

Social networks are being used by terrorist organizations to distribute messages with the
intention of influencing people and recruiting new members. The research presented in this …

In this paper, we present an application of association rules to query refinement. Starting
from an initial set of documents retrieved from the web, text transactions are constructed and …