A Density-Based Algorithm for Discovering …
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise Martin Ester, Hans-Peter Kriegel, Jiirg Sander, Xiaowei Xu
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Computing Semantic Relatedness Using Wikipedia …
www.aaai.orgComputing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis Evgeniy Gabrilovich and Shaul Markovitch Department of Computer Science
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Knowledge-Enhanced Hierarchical Graph Transformer …
www.aaai.orgior hierarchical dependencies and discriminates the type-specific contribution, in forecasting the target behaviors. We apply the proposed KHGT method to three real-world datasets of movie, venue and product recommendations. Experiments show that our model achieves significant gains over 15 state-of-the-art baselines from various lines.
A Density-Based Algorithm for Discovering Clusters in ...
www.aaai.orgters, Efficiency on Large Spatial Databases, Handling Nlj4-275oise. 1. Introduction Numerous applications require the management of spatial data, i.e. data related to space. Spatial Database Systems (SDBS) (Gueting 1994) are database systems for the man-agement of spatial data. Increasingly large amounts of data
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www.aaai.orgusing composite, informative functional designators rather than simple names: (Nth (The (LeftFn FingerSeries)) means the fourth digit of the left-hand finger series counting laterally from the thumb. The composite description with nested functions allows the Cyc program to draw various fairly general inferences automatically.
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