Leveraging historical behavioral data (eg, sales volume and email communication) for future
prediction is of fundamental importance for practical domains ranging from sales to temporal …

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 …

Recently, progressive retrieval has been advocated as an alternate solution to
multidimensional indexes or approximate techniques, in order to accelerate similarity search …

Brain imaging data are incredibly complex and new information is being learned as
approaches to mine these data are developed. In addition to studying the healthy brain, new …

Information technology research has played a significant role in the high-throughput
acquisition and analysis of biological information. The tremendous amount of information …

Time series analysis is essential for a wide range of fields, ranging from business
intelligence to healthcare. Among various time series data, two representative types of time …

With the constant improvement in data storage technologies, a new generation of indexing
mechanisms is to be created to exploit the improvements in disk access speeds that were …

The DNA sequences in Genbank now total more than 100 billion basepairs, ten times as
much as just five years ago. More impressive than the sheer increase in size, however, is …

For data-driven research to become reality in microscopy-based biology, analysis algorithms
must be able to run with minimal human input on large, diverse collections of images. Such …

The ability of biomedical images to capture spatial and temporal relationships not
immediately available from other data sources make them vital in understanding the …