D. Pedreschi

Publications322
h-index50
Citations11,287
Highly Influential Citations632
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Trajectory pattern mining
TLDR
The increasing pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) is leading to the collection of large spatio-temporal datasets and to the opportunity of discovering usable knowledge about movement behaviour, which fosters novel applications and services. Expand
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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 both… Expand
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Human mobility, social ties, and link prediction
TLDR
We find that the similarity between two individuals' movements strongly correlates with their proximity in the social network. Expand
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Discrimination-aware data mining
TLDR
In the context of civil rights law, discrimination refers to unfair or unequal treatment of people based on membership to a category or a minority, without regard to individual merit. Expand
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DEMON: a local-first discovery method for overlapping communities
TLDR
Community discovery in complex networks is an interesting problem with a number of applications, especially in the knowledge extraction task in social and information networks. Expand
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Time-focused clustering of trajectories of moving objects
TLDR
We propose an adaptation of a density-based clustering algorithm to trajectory data based on a simple notion of distance between trajectories. Expand
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Reasoning about Termination of Pure Prolog Programs
TLDR
We provide a theoretical basis for studying termination of (general) logic programs with the Prolog selection rule with the notion of an acceptable program that provides us with a practical method of proving termination. Expand
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Data mining for discrimination discovery
TLDR
We introduce the problem of discovering discrimination through data mining in a dataset of historical decision records, taken by humans or by automatic systems. Expand
  • 166
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Visually driven analysis of movement data by progressive clustering
TLDR
The paper investigates the possibilities of using clustering techniques in visual exploration and analysis of large numbers of trajectories, that is, sequences of time-stamped locations of some moving entities, where a simple distance function with a clear meaning is applied on each step leads to easily interpretable outcomes. Expand
  • 222
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Measuring Discrimination in Socially-Sensitive Decision Records
TLDR
Discrimination in social sense (e.g., against minorities and disadvantaged groups) is the subject of many laws worldwide, and it has been extensively studied in the social and economic sciences. Expand
  • 172
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