Personalized medicine intensifies interest in experimental paradigms that delineate sources
of phenotypic variation. The paradigm of environmental enrichment allows for comparisons …

Most clustering strategies have not changed considerably since their initial definition. The
common improvements are either related to the distance measure used to assess …

Decision support systems, data analysis and data mining have become significant tools for
improving business in professional world. The emerging technologies are making the …

Infectious disease outbreaks recapitulate biology: they emerge from the multi-level
interaction of hosts, pathogens, and environment. Therefore, outbreak forecasting requires …

Karenia brevis blooms on Florida's Gulf Coast severely affect regional ecosystems, coastal
economies, and public health, and formulating effective management and policy strategies …

The definition of a distance measure between time series is critical for many time series data
mining tasks such as clustering and classification. For this reason, and based on the specific …

As an important set of techniques for data mining, time series clustering methods had been
studied by many researchers. Although most existing solutions largely focus on univariate …

Complex histories of chronic and acute sea surface temperature (SST) stresses are
expected to trigger taxon-and location-specific responses that will ultimately lead to novel …

Recent years have seen an increase in research on time series data mining (especially time-
series clustering) owing to the widespread existence of time series in various fields …

Harmful algal blooms (HABs) threaten coastal ecological systems, public health, and local
economies, but the complex physical, chemical, and biological processes that culminate in …