3 citations · 5 across the 11 of their papers we have counts for
6 papers · 1 filter
Random Sampling over Spatial Range Joins
Daichi Amagata
Spatial range joins have many applications, including geographic information systems, location-based social networking services, neuroscience, and visualization. However, joins inc…
Approximate Reverse -Ranks Queries in High Dimensions
Daichi Amagata, Kazuyoshi Aoyama, Keito Kido +1
Many objects are represented as high-dimensional vectors nowadays. In this setting, the relevance between two objects (vectors) is usually evaluated by their inner product. Recentl…
How to Mine Potentially Popular Items? A Reverse MIPS-based Approach
Daichi Amagata, Kazuyoshi Aoayama, Keito Kido +1
The -MIPS ( Maximum Inner Product Search) problem has been employed in many fields. Recently, its reverse version, the reverse -MIPS problem, has been proposed. Given an i…
Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach
Daichi Amagata, Makoto Onizuka, Takahiro Hara
Distance-based outlier detection is widely adopted in many fields, e.g., data mining and machine learning, because it is unsupervised, can be employed in a generic metric space, an…
Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item?
Daichi Amagata, Takahiro Hara
The MIPS (maximum inner product search), which finds the item with the highest inner product with a given query user, is an essential problem in the recommendation field. It is usu…
Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub
Shohei Tsuruoka, Daichi Amagata, Shunya Nishio +1
Recent applications employ publish/subscribe (Pub/Sub) systems so that publishers can easily receive attentions of customers and subscribers can monitor useful information generate…