Titlebook: New Frontiers in Mining Complex Patterns; First International Annalisa Appice,Michelangelo Ceci,Zbigniew W. Ras Conference proceedings 201

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Learning in Probabilistic Graphs Exploiting Language-Constrained Patternskelihood of the edge existence or the strength of the link it represents. The goal of this paper is to provide a learning method to compute the most likely relationship between two nodes in a framework based on probabilistic graphs. In particular, given a probabilistic graph we adopted the language-

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Improving Robustness and Flexibility of Concept Taxonomy Learning from Textability of conceptual taxonomies can be of great help, but manually building them is a complex and costly task. Building on previous work, we propose a technique to automatically extract conceptual graphs from text and reason with them. Since automated learning of taxonomies needs to be robust with

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Discovering Evolution Chains in Dynamic Networks is dynamic, i.e. nodes/relationships can be added or removed and relationships can change in their type over time. We assume that the “core” of the network is more stable than the “marginal” part of the network, nevertheless it can change with time. These changes are of interest for this work, sinc

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Supporting Information Spread in a Social Internetworking Scenarioty. This problem has been widely studied in the recent literature and is still open, but it becomes even more challenging, due to the new issues to deal with, in a multi-social-network context, where the possibility that information can cross different social networks has a fundamental role. As a ma

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Context-Aware Predictions on Business Processes: An Ensemble-Based Solutionexible processes, whose behaviour tend to change over time depending on context factors. We try to face such a situation by proposing a predictive-clustering approach, where different context-related execution scenarios are equipped with separate prediction models. Recent methods for the discovery o

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Fernando Martínez-Plumed,Cèsar Ferri,José Hernández-Orallo,María José Ramírez-Quintanaficult procedure. As a result, there is a strong need to combine graph-theoretic methods with mathematical techniques from other scientific disciplines, such as machine learning and information theory, in order to analyze complex networks more adequately...Filling a gap in literature, this self-cont

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