K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition
and machine learning, however, as a similar lazy classifier using local information for …

With the continued digitization of societal processes, we are seeing an explosion in
available data. This is referred to as big data. In a research setting, three aspects of the data …

The past decade has been characterized by the growing volumes of data due to the
widespread use of the Internet of Things (IoT) applications, which introduced many …

Similarity search is a very important operation in multimedia databases and other database
applications involving complex objects, and involves finding objects in a data set S similar to …

Trajectory analytics can benefit many real-world applications, eg, frequent trajectory based
navigation systems, road planning, car pooling, and transportation optimizations. Existing …

Mobile and sensing devices have already become ubiquitous. They have made tracking
moving objects an easy task. As a result, mobile applications like Uber and many IoT …

This paper presents a generalization of the classic A* algorithm to the domain of sampling-
based motion planning. The root assumptions of the A* algorithm are examined and …

We present several methods for mining knowledge from the query logs of the MSN search
engine. Using the query logs, we build a time series for each query word or phrase …

The last few years have seen an increasing understanding that dynamic time warping
(DTW), a technique that allows local flexibility in aligning time series, is superior to the …

Many applications, eg, Uber, collect large-scale trajectory data from moving vehicles on road
network. Trajectory data analytics can benefit many real-world applications, such as route …