scholarly journals FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams

Author(s):  
Angel Miguel Garcia Vico ◽  
Cristobal Carmona ◽  
Pedro Gonzalez ◽  
Huseyin Seker ◽  
Maria Jose Del Jesus
2021 ◽  
Vol 183 ◽  
pp. 115419
Author(s):  
Ángel M. García-Vico ◽  
Cristóbal Carmona ◽  
Pedro González ◽  
María J. del Jesus

2004 ◽  
Vol 59 (2) ◽  
pp. 129-129
Author(s):  
Lisa M. Sanchez ◽  
Samuel M. Turner

2020 ◽  
pp. 84-107
Author(s):  
Vera Borges ◽  
Luísa Veloso

In the wake of the 2008 global financial and economic crisis, new forms of work organization emerged in Europe. Following this trend, Portugal has undergone a reconfiguration of its artistic organizations. In the performing arts, some organiza-tions seem to have crystalized and others are reinventing their artistic mission. They follow a plurality of organizational patterns and resilient profiles framed by cyclical, structural and occupational changes. Artistic organizations have had to adopt new models of work and seek new opportunities to try out alternatives in order to deal, namely, with the constraints of the labour market. The article anal-yses some of the restructuring processes taking place in three Portuguese artistic organizations, focusing on their contexts, individual trajectories and collective missions for adapting to contemporary challenges of work in the arts. We conclude that organizations are a key domain for understanding the changes taking place.


Author(s):  
LAKSHMI PRANEETHA

Now-a-days data streams or information streams are gigantic and quick changing. The usage of information streams can fluctuate from basic logical, scientific applications to vital business and money related ones. The useful information is abstracted from the stream and represented in the form of micro-clusters in the online phase. In offline phase micro-clusters are merged to form the macro clusters. DBSTREAM technique captures the density between micro-clusters by means of a shared density graph in the online phase. The density data in this graph is then used in reclustering for improving the formation of clusters but DBSTREAM takes more time in handling the corrupted data points In this paper an early pruning algorithm is used before pre-processing of information and a bloom filter is used for recognizing the corrupted information. Our experiments on real time datasets shows that using this approach improves the efficiency of macro-clusters by 90% and increases the generation of more number of micro-clusters within in a short time.


2014 ◽  
Vol 13 (7) ◽  
pp. 4675-4682
Author(s):  
Atefeh Danesh Moghadam ◽  
Alireza Alagha

In the advent of information era, not only digital world is going to expand its territories, it is going to penetrate into the traditional notions about the meaning of the words and also valorize new concepts. According to Oxford Dictionary, the word heritage is defined: The history, tradition and qualities that a country or society has had for many years and that are considered an important part of its character. In order to present how emerging patterns, as the consequences of technology development, are going to be considered as the new concept of heritage, we follow four steps. In the first step, we present the convergence of Information, Communication and Technology (ICT) and a concise history of its convergence. In the second step, we argue how convergence has culminated in emerging patterns and also has made changes in digital world. In the third step, the importance of users behaviors and its mining is surveyed. Finally, in the fourth step; we illustrate User Generated Contents (UGC) as the most prominent users behaviors in digital world.


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