more than 185 species, strains and unclassified theileria parasites are categorized in the entrez taxonomy. the accurate diagnosis and proper identification of the causative agents are important for understanding the epidemiology, prevention and appropriate treatment. this study aims to discuss the importance of two genes of theileria annulata 18s ribosomal rna (18s rrna) and theileria annulata...

Pattern structures propose a direct way to knowledge discovery in data with structure, such as logical formulas, graphs, strings, tuples of numerical intervals, etc., by defining closed descriptions and discovery tools build upon them: automatic construction of taxonomies, association rules and classifiers. A combination of lazy evaluation with projections of initial data, randomization and par...

Harmful algal blooms (HABs) are extreme biological events with the potential for extensive negative impacts to fisheries, coastal ecosystems, public health, and coastal economies. In this chapter, we link issues concerning the key drivers of HABs with the various approaches for minimizing their negative impacts, emphasizing the use of numerical modeling techniques to bridge the gap between obse...

With the boom in IT technology, the data sets used in application are more and more larger and are described by a huge number of attributes, therefore, the feature selection become an important discipline in Knowledge discovery and data mining, allowing the experts to select the most relevant features to improve the quality of their studies and to reduce the time processing of their algorithm. ...

The need of taxonomy is vital for knowledge sharing. This need has been portrayed by through-life engineering services/systems. This paper addresses this issue by repair process taxonomy development. Framework for repair process taxonomy was developed followed by its implementation. The importance of repair process taxonomy has been highlighted.

Taxonomic data for 135 cultures of bacteria isolated from frozen snap beans and whole kernel corn were analyzed by computer. Of the isolates, 79% were grouped into five major clusters. Two of the groups consisted of leuconostocs, whereas the other three contained homofermentative types. The intergroup similarities suggested a generic level of similarity. Feature frequencies for the groups were ...

Failures are inevitable in wireless sensor networks due to the fragile features and unattended deployment. To explore an effectual technique for node’s fault detection caused by energy consumption, a new algorithm, Fault Detection Technique based on Numerical Taxonomy (FDNT) is proposed in this paper. The algorithm is deployed on the sink node with unconstrained energy consumption and is on the...