Search results for " computing"
showing 5 items of 2075 documents
Estimating Applicability of New Mobile Content Formats to Organizational Use
2003
Innovations on information and communication technology reshape organizational communication. Our ability to estimate applicability of new technologies and content formats to organizational use has been limited to generic quantitative methods at the level of technologies and industries and elaborate qualitative methods targeting specific phenomena at the organizational level. In this paper we estimate quantitatively the applicability of MMS, SMS, XHTML, and XML to organizational use based on an analysis of all communication of an organization unit. We enumerate over 700 communication genres using a genre-based information systems planning method, categorise them with taxonomy of communicati…
Redes Neuronales (2009/2010)
2009
Grounding the innovation of future technologies
2005
Mobile and ubiquitous technologies can potentially change the role of information and communication technology in human lives. Empirical, human-centered approaches are emerging as an alternative to technology-driven approaches in the innovation of these technologies. Three necessary empirical stages, intertwined with analytical ones and with each informing and grounding the succeeding stages, are analyzed. First, needfinding is utilized to discover societal and individual demands for technology. Second, observational and experimental studies examine the social and cognitive preconditions for interaction. From these two steps, a hypothesis is formulated regarding how technology will change e…
Improvements and applications of the elements of prototype-based clustering
2018
Clustering or cluster analysis is an essential part of data mining, machine learning, and pattern recognition. The most popularly applied clustering methods are partitioning-based or prototype-based methods. Prototype-based clustering methods usually have easy implementability and good scalability. These methods, such as K-means clustering, have been used for different applications in various fields. On the other hand, prototype-based clustering methods are typically sensitive to initialization, and the selection of the number of clusters for knowledge discovery purposes is not straightforward. In the era of big data, in high-velocity, ever-growing datasets, which can also be erroneous, outl…