Figure 6 - uploaded by Ingo Schwab
Content may be subject to copyright.
Types of process mining techniques in terms of input and output [1].

Types of process mining techniques in terms of input and output [1].

Contexts in source publication

Context 1
... the speed is less than a threshold value T 2 , an accident is confirmed. Figure 6 shows the output of the frame differencing process done to detect vehicle collision and speed estimation in the consecutive frames with an interval of three frames. ...
Context 2
... M. P. van der Aalst [1] stated that there are three main techniques in BPM, as depicted in Figure 6. The first is the discovery technique, which takes an event log and produces a model without using a priori information. ...
Context 3
... lowest penalized images are displayed first in the results list. Figure 6 shows the ranked result list for the query find an animal that is standing in front of the yellow car. In the results, we see that all images that contain a yellow car are ranked higher than those images that contain a car, but of which the attribute color is wrong, i.e., red. ...
Context 4
... with combination between margin vector and shape vector in one 128 elements vector to represent each leaf, the obtained results are shown in Table 4 Figure 6. Results obtained by classification of species represented by the combination of margin and shape ...
Context 5
... Figure 6 and Table 4, results given by Naïve Bayes algorithm and K-Nearest Neighbour are converged, and better than previous results (+90% of accuracy); even Decision Tree algorithm gives better result (almost 67% of accuracy). Table 5 and Figure 7 show that obtained accuracy decreases compared with the combination between margin and shape, especially Naïve Bayes (from 93% to 87% of accuracy) and Decision Tree (from 66% to 59%). ...

Similar publications

Article
Full-text available
Actualmente a menudo oímos hablar de gestión de datos, datos masivos, o big data, datos en abierto u open data o linked open data. De hecho, hay una idea bastante arraigada que todas las organizaciones necesitan gestionar datos para crear información y conocimiento para la acción, para la toma de decisiones. En definitiva, para crear valor. Además,...
Article
Full-text available
While the biomedical community has published several “open data” sources in the last decade, most researchers still endure severe logistical and technical challenges to discover, query, and integrate heterogeneous data and knowledge from multiple sources. To tackle these challenges, the community has experimented with Semantic Web and linked data t...
Conference Paper
Full-text available
The concept of statistical literacy needs to be refreshed, regularly. Major changes in the ways that data can be accessed from government and non-government agencies (the ‘semantic web’) allow everyone to access huge databases, to create new variables, and to explore new relationships. New ways of visualising data provide further challenges and opp...
Article
Full-text available
The Web of Linked Data has emerged as the realization of a machine readable Web relying on the Resource Description Framework (RDF) language as a way to provide richer semantics to datasets. While the Web of Linked Data is based on similar principles as those of the original Web, being interlinking the principal mechanism to relate information, the...