levels represent an important concept that can be applied toward the solution of dificult problems surrounding communications between users and providers of data processing services. In this paper, this concept is described in terms of the architecture, which defines the scope and structure of service information. The paper further translates the architecture into data processing terminology by...

*Correspondence: [email protected] 1Department of Computer Science and Artificial Intelligence, CITIC-UGR (Research Center on Information and Communications Technology), University of Granada, Calle Periodista Daniel Saucedo Aranda, 18071 Granada, Spain Full list of author information is available at the end of the article Abstract The large amounts of data have created a need for new fram...

In order to see the influence of different variable parameters (initial pH of the solution, Fe++ concentration and H2O2 concentration) and the efficiency to remove Malachite Green dye (Basic Green 4) from aqueous solution, Fenton Oxidation method was employed. Then different parameters were studied using known concentration (150 mg/l) and initial COD (256 mg/l) of prepared dye synthetic solutio...

The Real-time Analytics Data Stack, colloquially referred to as the RADStack, is an open-source data analytics stack designed to provide fast, flexible queries over up-to-the-second data. It is designed to overcome the limitations of either a purely batch processing system (it takes too long to surface new events) or a purely real-time system (it’s difficult to ensure that no data is left behin...

In data mining, concept drift refers to the phenomenon that the underlying model (or concept) is changing over time. The aim of this paper is twofold. First, we propose a fundamental characterization and quantification of different types of concept drift. The proposed theory enables a rigorous investigation of learning system performance on streamed data. In particular , we investigate the impa...

The generalised extreme-value (GEV) distribution is widely used for modelling and characterising extremes. It is a flexible 3-parameter distribution that combines three extreme-value distributions within a single framework: the Gumbel, Frechet and Weibull. Common methods used for estimating the GEV parameters are the method of maximum likelihood and the method of L-moments. This paper generalis...

0167-8655/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.patrec.2011.04.004 ⇑ Corresponding author. E-mail addresses: [email protected], lihousen yahoo.cn (H. Jiang), [email protected] (R. Barrio), clzch [email protected] (F. Su). Recent years have witnessed great success of manifold learning methods in understanding the structure of multidimensional patterns. However, most of these ...

Through their influence on the cross-sectional distribution of productivity across firms and workers, job creation and destruction likely have an impact on the rate at which aggregate productivity changes over time. However, the nature of this effect is not, a priori, clear. While a broad consensus has emerged suggesting that job destruction enhances productivity by eliminating inefficient prod...

We study the problems of scheduling jobs, with different release dates and equal processing times, on two types of batching machines. All jobs of the same batch start and are completed simultaneously. On a serial batching machine, the length of a batch equals the sum of the processing times of its jobs and, when a new batch starts, a constant setup time s occurs. On a parallel batching machine,...

Domain filtering is a powerful technique for reduction of the search space during solving combinatorial problems like scheduling. In this paper we present several filtering algorithms designed specifically for scheduling in batch processing environments with sequence dependent setup times. We extend two known algorithms, namely edge finding and not-first/not-last technique, and we present a new...