Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; 6th International Jo Ana Fred,Jan L. G. Dietz,Joaquim Filipe Conferenc

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Cluster Summarization with Dense Region DetectionThe GMM summarization allows us to summarize a cluster efficiently, then regenerate the original data with high accuracy. Unlike the classical representation of a cluster using a radius and a center, the proposed approach keeps information of the shape, as well as distributions of the samples in the

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Determining the Relative Importance of Webpages Based on Social Signals Using the Social Score and talue a webpage based on its position in the hyperlinked graph of the web. However, there is no generally applicable algorithm to determine the value of webpages based on an arbitrary number social signals such as likes, tweets and shares. By taking such social signals into account a more democratic

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A Novel Knowledge-Based Architecture for Concept Mining on Italian and English Textse Web and on digital libraries nowadays, it is not cost effective. Therefore automatic annotators capable to perform like human experts are extremely desirable. State of the art systems already offer good performance but they are often limited to one language, one domain of application, and can not

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A Generic and Declarative Method for Symmetry Breaking in Itemset Miningis problem and its variants have been developed in the data mining community. A generic and declarative alternative approach to these targeted and specific methods was recently introduced. It consists in representing the data mining problems as constraint networks, then use an appropriate solver as

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Enhancing Online Discussion Forums with Topic-Driven Content Search and Assisted Posting interest in an online forum may be substantially improved by a proper organization of the forum content. With this aim, in this paper we propose an approach that enhances an existing forum by introducing a navigation structure that enables searching and navigating the forum content by topics of dis

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Building MD Analytical Stars Using a Visual Linked Data Query Builder enabling them to easily analyze Linked Data without knowledge of the SPARQL query language. The success of the multidimensional (.) model for data analysis has been mainly due to its simplicity. The . model views data in terms of dimensions and measures. Therefore, we propose the notion of . analyt

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Modeling Sentiment Polarity with Meta-features to Achieve Domain-Independencease of supervised learning refer to domain dependence: a solution is specifically designed for a particular domain. Our method overcomes such limitations by considering the generic characteristics hidden in textual information. We identify the sentiment polarity of documents that are part of differe