30 citations · 43 across the 7 of their papers we have counts for
7 papers
Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling
Jiacheng Wu, Yong Zhang, Jin Wang +3
Given two sets of objects, metric similarity join finds all similar pairs of objects according to a particular distance function in metric space. There is an increasing demand to p…
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees
Chunbin Lin, Etienne Boursier, Yannis Papakonstantinou
Plato provides fast approximate analytics on time series, by precomputing and storing compressed time series. Plato's key novelty is the delivery of tight deterministic error guara…
Efficient Approximate Query Answering over Sensor Data with Deterministic Error Guarantees
Jaqueline Brito, Korhan Demirkaya, Boursier Etienne +3
With the recent proliferation of sensor data, there is an increasing need for the efficient evaluation of analytical queries over multiple sensor datasets. The magnitude of such da…
Data Compression for Analytics over Large-scale In-memory Column Databases
Chunbin Lin, Jianguo Wang, Yannis Papakonstantinou
Data compression schemes have exhibited their importance in column databases by contributing to the high-performance OLAP (Online Analytical Processing) query processing. Existing…
Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering
Ruining He, Chunbin Lin, Jianguo Wang +1
Building successful recommender systems requires uncovering the underlying dimensions that describe the properties of items as well as users' preferences toward them. In domains li…
Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items
Ruining He, Chunbin Lin, Julian McAuley
To build a fashion recommendation system, we need to help users retrieve fashionable items that are visually similar to a particular query, for reasons ranging from searching alter…