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Closed patterns meet n-ary relations
TLDR
We introduce an algorithm called Data-Peeler that extracts all closed n-sets satisfying given piecewise (anti) monotonic and antimonotonic constraints from an n-ary relation, allowing to efficiently enforce the closeness property. Expand
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Watch me playing, i am a professional: a first study on video game live streaming
TLDR
We show that the number of viewers of a streaming session evolves in a predictable way, and that a Condorcet method can be used to sensibly rank the streamers by popularity. Expand
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Reachability Queries in Very Large Graphs: A Fast Refined Online Search Approach
TLDR
We propose, in this paper, a novel indexing method called FELINE (Fast rEfined onLINE search), which is inspired by Dominance Graph Drawing. Expand
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Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations
Set pattern discovery from binary relations has been extensively studied during the last decade. In particular, many complete and efficient algorithms which extract frequent closed sets are nowExpand
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Closed and noise-tolerant patterns in n-ary relations
TLDR
We study a declarative specification of error-tolerant patterns by means of new primitive constraints and the design of an efficient algorithm to extract every solution pattern. Expand
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Modeling and Analyzing the Video Game Live-Streaming Community
TLDR
In parallel to the exponential growth of the gaming industry, video game live-streaming is rising as a major form of online entertainment. Expand
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Parameter-free classification in multi-class imbalanced data sets
TLDR
In this paper, we point out recurrent problems encountered by OVA approaches applied to multi-class imbalanced data sets (e.g., improper bias towards majority classes, conflicting rules). Expand
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Distributed Skycube Computation with Anthill
TLDR
This paper has presented a distributed version of the recent Orion algorithm to compute skycubes. Expand
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Computational B-cell epitope identification and production of neutralizing murine antibodies against Atroxlysin-I
Epitope identification is essential for developing effective antibodies that can detect and neutralize bioactive proteins. Computational prediction is a valuable and time-saving alternative forExpand
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Multidimensional Association Rules in Boolean Tensors
TLDR
We study the generalization of association rule mining within arbitrary n-ary relations to Boolean tensors instead of Boolean matrices. Expand
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