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A Survey of Methods for Explaining Black Box Models
In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of explanation constitutes bothExpand
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WhereNext: a location predictor on trajectory pattern mining
TLDR
We propose WhereNext, which is a method aimed at predicting with a certain level of accuracy the next location of a moving object. Expand
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Movement data anonymity through generalization
TLDR
In recent years, spatio-temporal and moving objects databases have gained considerable interest, due to the diffusion of mobile devices (e.g., mobile phones, RFID devices and GPS devices) and new applications, where the discovery of consumable, concise, and applicable knowledge is the key step. Expand
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Local Rule-Based Explanations of Black Box Decision Systems
TLDR
In this paper we focus on the problem of black box outcome explanation, i.e., explaining the reasons of the decision taken on a specific instance. Expand
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Multidimensional networks: foundations of structural analysis
TLDR
We present a solid repertoire of basic concepts and analytical measures, which take into account the general structure of multidimensional networks. Expand
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Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases
TLDR
We study the problem of outsourcing the association rule mining task within a corporate privacy-preserving framework and propose an attack model based on background knowledge and devise a scheme for privacy preserving outsourced mining. Expand
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Classifying Trust/Distrust Relationships in Online Social Networks
TLDR
We address the problem of creating a framework for the trust inference, able to infer the trust/distrust relationships in those relational environments that cannot be described by using the classical social balance theory. Expand
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Foundations of Multidimensional Network Analysis
TLDR
We develop a framework of basic concepts and analytical measures for multidimensional network analysis, which takes into account the general structure of networks. Expand
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Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining
TLDR
We propose a new approach for anonymizing sequential data by hiding infrequent, and thus potentially sensible, subsequences. Expand
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