Aiming at the avian influenza outbreak in Qinghai Lake area, the satellite tracking of migratory birds in Qinghai Lake is studied to analyze the relationship between bird migration, virus spread and ecological environment. These biological problems have been converted into computational studies in previous studies in which spatial clustering is the key factor. A bird migration data analysis sys...

Cluster analysis in data mining is a main application of business. This Investigation describes to present NCDBC algorithm that extends expansion seed selection into a DBSCAN algorithm. And the DBSCAN Algorithm describes the density based clustering concept and also describes its hierarchical additional room OPTICS has been planned newly, and one of the mainly triumphant approaches to clusterin...

Tibetan information processing technology has been obtained some achievements. But it falls behind Chinese and English information processing. It still needs to be paid more attention. Text clustering has the potential to accelerate the development of Tibetan information processing. In this paper, we propose an approach of Tibetan text clustering based on machine learning. Firstly, the approach...

Intelligent assistants are ubiquitous and will grow in importance. Apple’s well-known assistant Siri uses Active Ontologies to process user input and to model the provided functionalities. Supporting new features requires extending the ontologies or even building new ones. The question is no longer “How to build an intelligent assistant?” but “How to do it efficiently?” We propose EASIER, an ap...

The explosive growth of World Wide Web (WWW) has necessitated the development of Web personalization systems in order to understand the user preferences to dynamically serve customized content to individual users. To reveal information about user preferences from Web usage data, Web Usage Mining (WUM) techniques are extensively being applied to the Web log data. Clustering techniques are widely...

In order to quickly and accurately realize target recongnition when the crop demanding, adopt green strength of RGB`s method to identify the crop from the background of elaphic, the recognition accuracy was more than 98%. Use density DBSCAN fuzzy clustering algorithm, by means of setting two parameters ε and MinN, in the density DBSCAN fuzzy clustering algorithm, to determine a cluster gather o...

The spatial and dynamical structure of star-forming regions can help provide insights on stellar formation patterns. amount data from current upcoming surveys calls for robust objective procedures to detect structure, so the results be statistically analysed different compared. We community with a tool able small scale significant above random expectation, in regions, which could imprint proces...