Titlebook: New Frontiers in Mining Complex Patterns; 6th International Wo Annalisa Appice,Corrado Loglisci,Zbigniew W. Ras Conference proceedings 2018

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A Scaled-Correlation Based Approach for Defining and Analyzing Functional Networks,ed chemical systems, computer or social networks, or the brain. For many of these cases, dynamical networks emerge whose structure changes in time. Estimating the structure of such networks from the time series that describe the activity of their nodes is a serious challenge. Here, we devise a new m

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Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform,licious developers spread unauthorized (fake, malicious, obsolete or deprecated) mobile apps through alternative distribution channels and marketplaces. In this work, we propose a framework for the early detection of these alternative markets advertised through social media such as Twitter or Facebo

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Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or C from consumers is simply aggregated or optimally clustered to more predictable groups by cluster analysis. The clustering approach consists of efficient preprocessing of data gained from smart meters by a model-based representation and the K-means method. We have implemented two types of ensemble l

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molecular biology, with further applications in protein engineering, disease treatment, drug design etc. Key regions of interest are fragments of biomacromolecules, which are important for their biological function, e.g., binding and active sites, tunnels, pores etc. The instruments of structural b