Wearable sensor devices, which offer the advantage of recording daily ob...
Deep learning-based recommender systems may lead to over-fitting when la...
Big data mining is well known to be an important task for data science,
...
Clustering multi-dimensional points is a fundamental task in many fields...
Distance-based outlier detection is widely adopted in many fields, e.g.,...
The MIPS (maximum inner product search), which finds the item with the
h...
In recommender systems, a cold-start problem occurs when there is no pas...
Event detection on social media has attracted a number of researches, gi...
Recent applications employ publish/subscribe (Pub/Sub) systems so that
p...