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With the popularity of social network, once a new event happened, people discuss and propagate the fresh information about the event on the social network platform widely. In order to track the spreading of events on Twitter, First Story Detection (FSD), an interesting task to find first stories about events from a continuous twitter stream, appeared and is gaining increasing amount of significance...
Classification of microarray data has always been a challenging task due to the enormous number of genes. Finding a small, closely related gene set to accurately classify disease cells is an important research problem. Integrating biological knowledge into genomic analysis to help to improve the interpretation of the results is an effective approach. In this paper, affinity propagation (AP) clustering...
The common classification is conducted under the supervised learning algorithms, which design classifiers through learning the labeled training samples. However, in actual situations, it is very costly to acquire class-labeled samples, because manually labeling documents requires a lot of time and efforts from experts. Therefore, it restrains the text classification to a great extent. To solve the...
Hybrid approach for scheduling on multicore processors that can effectively integrate the advantage of global scheduling and partitioning scheduling, becoming one of the hottest issues in real-time scheduling. Meanwhile, different from single-core, multicore architecture in the form of a variety of hierarchical shared caches, efficient cache usage on multicore platforms can greatly improve the scheduling...
For enhancing the accuracy and the versatility of automatic image classification, on the basis of the traditional Ant Colony Algorithm, we try to analysis the images from a new angle, and introduce the model of Ant Colony Algorithm, and take the exploratory research. According to the biological characteristic of the ant colony's community intelligence's, this method achieves the classification of...
Current load balancing method for large scale spatial data network service can't dynamically adjust the load of spatial data servers according to the characteristics of spatial data. We propose a content-based spatial data dynamic load balancing method, which can dynamically group spatial data servers according to geographical position relativity and accessing heat of spatial data to improve Cache...
In response to the roller bearing fault of the engineering vehicle, the excellent characteristics of time-frequency of wavelet packet is used to decompose the fault signal. Then we extract the necessary of the fault signals. Finally, we carry out the recognition of fault types using multi-class support vector machine and dynamic clustering algorithm brought forward in the paper. It is such a algorithm...
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