Clustering is a solution for classifying enormous data when there is not any early knowledge
about classes. With emerging new concepts like cloud computing and big data and their vast …

The bird classifier is a system that is equipped with an area machine learning technology
and uses a machine learning method to store and classify bird calls. Bird species can be …

Vocalizations are widely used for communication between animals. Mice use a large
repertoire of ultrasonic vocalizations (USVs) in different social contexts. During social …

Time series shapelets are small subsequences that maximally differentiate classes of time
series. Since the inception of shapelets, researchers have used shapelets for various data …

Over the past decade, time series clustering has become an increasingly important research
topic in data mining community. Most existing methods for time series clustering rely on …

Traditional techniques for monitoring wildlife populations are temporally and spatially
limited. Alternatively, in order to quickly and accurately extract information about the current …

The discovery of repeated structure, ie motifs/near-duplicates, is often the first step in
exploratory data mining. As such, the last decade has seen extensive research efforts in …

Clustering is arguably the most important primitive for data mining, finding use as a
subroutine in many higher-order algorithms. In recent years, the community has redirected …

The study of dolphin cognition involves intensive research of animal vocalizations recorded
in the field. We address the automated analysis of audible dolphin communication and …

In nature, animals communicate with smell, touch, movement, visual signaling and sound.
Most animals produce simple vocal utterances to identify themselves, attract or repel others …