Loading data is one of the most critical operations in any data warehouse, yet it is also the most neglected by the database vendors. Data must be loaded into a warehouse in a fixed batch window, typically overnight. During this period, we need to take maximum advantage of the machine resources to load data as efficiently as possible. A data warehouse can be on line for up to 20 hours of a day,...

A new concept referred to as the batch roundness is presented in this paper. This concept is derived to illustrate the worst possible form error for a batch of circular features machined under the same conditions. It is to be used as a statistical quality measure for such a batch of circular features and evaluated by analyzing their systematic and random form error components. The definition of...

Available online 4 January 2009

Most training algorithms for HMMs assume that the whole batch of observation sequences is given ahead of time. This is particularly the case for the the standard EM algorithm. However, in many applications such as speech, the data is generated by a temporal process. Singer and Warmuth developed online updates for HMMs that process a single observation sequence in each update. In this paper we t...

In Batch Steganography we assume that a Steganographer has to choose how to allocate a fixed amount of data between a large number of covers. Given the existence of a steganalysis method for individual objects (satisfying certain assumptions) we assume that a Warden attempts to detect the payload by pooling the evidence from all the objects. This paper works out the details of a particular meth...

The separation of a binary homogeneous azeotropic mixture using pressure swing distillation will be analysed on the example of acetonitrile/water. Two different processes are considered: the continuous heatand mass-integrated process and the inverted batch process. For both processes a model is developed and experimental data are given. In the paper the potential of the pressure swing distillat...

We propose a method for dynamic batch mode active learning where the batch size and selection criteria are integrated into a single formulation.

Business process automation improves organizations’ efficiency to perform work. Single executions of process models, called process instances, are usually executed independently in business process management systems (BPMS). In practice, we can observe examples in which a synchronized execution of groups of instances for certain activities, called batch processing, can lead to an improved perfo...

In this paper we introduce vFlow A framework for rapid designing of batch processing applications for Cloud Computing environment. vFlow batch processing system extracts tasks from the vPlans diagrams, systematically captures the dynamics in batch application management tasks, and translates them to Cloud environment API, named vDocuments, that can be used to execute batch processing applicatio...