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Improving and assessing knowledge on a topic is need of the current generation. In the traditional system, experts create assessments manually by reading articles and generating questions on a topic. However, it is very effort and time consuming to read and create questions for every article. Therefore, learners find it difficult to assess their knowledge on a topic owing to no- or low-availability...
Clustering is an unsupervised classification task of data mining. The high dimensional data sets generally comprise of irrelevant and redundant features also along with the relevant features, which deteriorate the clustering result. Therefore, to improve the clustering result, feature selection is necessary to select a subset of relevant features to improve discrimination ability of the original set...
Multimedia database can be define as a collection of storage and retrieval systems, in which large amount of media objects are created, modified, searched and retrieved, where as Multimedia is the combination of text, image, graphics, animations, audio and video. The extension of database application to handle multimedia objects requires synchronization of multiple media data streams. Multimedia data...
This paper reports the results of our work on assessing wound-composition based on color-image processing. A knowledge-base (reference-clusters in the 3D color space) of different categories of wound-tissue and pigmentation was built, using about 9000 pixels from 48 images of various wounds. The HSI model was used for the purpose. We address 8 categories of wound-tissue and pigmentation, many more...
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