In this paper we introduce our idea of a semantic information filtering system. Contrary to traditional information filtering systems exploiting information retrieval techniques to select relevant data, we propose a workflow exploiting semantic information obtained from the web. Our system utilises the structured information crawled from the semantic web to improve the process of extracting the...

Real-time monitoring of the data of the thermal power plant is the basis of accurate analyzing thermal economy and accurate reconstruction of the operating state. Due to noise is inevitable, we need real-time monitoring data filtering to get accurate information of units and equipment in the operating data of thermal power plant. Real-time filtering algorithm can’t be used to correct the curren...

biomedical datasets usually include a large number of features relative to the number of samples. however, some data dimensions may be less relevant or even irrelevant to the output class. selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. to this end, this paper presents a hybrid method of filter and wr...

In this paper we present the Unison-CF algorithm, which provides an efficient way to combine multiple collaborative filtering approaches, drawing advantages from each one of them. Each collaborative filtering approach is treated as a separate component, allowing the Unison-CF algorithm to be easily extended. We evaluate the Unison-CF algorithm by applying it on three existing filtering approach...

This paper addresses the issue of reliable satisfaction of customer demand by unreliable production systems. Using a simple Production-StorageCustomer model, we show that this can be accomplished by filtering out production randomness. The filtering of randomness is ensured by finished goods buffers (filtering in space) and shipping periods (filtering in time). The following question is conside...

A robust estimator, namely M -smoother, for piecewise-constant smoothing is revisited in this paper. Starting from its generalized formulation, we propose a numerical scheme/framework for solving it via a series of weighted-average filtering (e.g., box filtering, Gaussian filtering, bilateral filtering, and guided filtering). Because of the equivalence between M -smoother and local-histogrambas...