the Web has been the star service on the Internet, however the outsized information available and its decentralized nature has originated an intrinsic difficulty to locate, extract and compose information. An automati...
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ISBN:
(纸本)9783642124327
the Web has been the star service on the Internet, however the outsized information available and its decentralized nature has originated an intrinsic difficulty to locate, extract and compose information. An automatic approach is required to handle withthis huge amount of data. In this paper we present a machine learning algorithm based on Genetic algorithms which generates a set of complex wrappers, able to extract information from the Web. the paper presents the experimental evaluation of these wrappers over a set of basic data sets.
the proceedings contain 13 papers. the topics discussed include: automated model transformations based on STRIPS planning;a framework and methodology for enterprise process type configurations;a structural verificatio...
the proceedings contain 13 papers. the topics discussed include: automated model transformations based on STRIPS planning;a framework and methodology for enterprise process type configurations;a structural verification of web services composition compatibility;proposition of a generic metamodel for modeling interorganizational business processes;reengineering the learning process in a transport company;gross product simulation with pooling of linear and nonlinear regression models;actionable meta models to support inter organizational business processes modeling for e-services;discovering organizational perspective in workflow using agent approach: an illustrative case study;towards a center for modeling and simulation: the case for Jordan;modeling cross-docking operations using discrete event simulation;feasibility study inputs based on requirements engineering;towards the conceptual normalization;and real-time web services orchestration and choreography.
Linked Data provide many benefits to data consumers, but many publicly available datasets are still released in the Comma Separated Values (CSV) format, a ubiquitous common denominator. We introduce a methodology to t...
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In this paper a new technique called the HandOver Decision STAbility Technique (HODSTAT) is proposed for horizontal handover in Wireless Local Area Networks based on IEEE 802.11 standard. HODSTAT addresses the decisio...
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Grid middleware is an essential offer to the scientists to hide the complexity and the heterogeneity of the underlying systems and architectures. Within the last years the leading Grid middlewares have made an impress...
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ISBN:
(纸本)9783893366613
Grid middleware is an essential offer to the scientists to hide the complexity and the heterogeneity of the underlying systems and architectures. Within the last years the leading Grid middlewares have made an impressive progress from an early experimental state to a wellestablished and-especially in the scientific community-widely accepted software for production use. UNICORE 6 is one example of such a success story. Like its predecessor UNICORE 5, UNICORE 6 has been established in various internationalcomputing centres and important infrastructures such as the European DEISA and the German D-Grid project. Both projects allow the scientists to prepare and submit their jobs and workflows seamlessly and securely to a wide variety of heterogeneous distributed computing resources and data storages. Due to this variety and heterogeneity a UNICORE installation will get complex fast. this paper demonstrates the experience with UNICORE 6 in production gained by the UNICORE 6 support and operation team from Jülich Supercomputing Centre (JSC).
the proceedings contain 57 papers. the topics discussed include: on-line signature verification based on PCA feature reduction and statistical analysis;fuzzy framework for joint segmentation and registration of brain ...
ISBN:
(纸本)9781424470426
the proceedings contain 57 papers. the topics discussed include: on-line signature verification based on PCA feature reduction and statistical analysis;fuzzy framework for joint segmentation and registration of brain MRI with prior information;delay based routing for real-time traffic in ad hoc networks;improvement of BER for one-stage optical parallel interference cancellation for the optical CDMA;evaluation of cross layer QoS approaches for improving voice quality over multi-rate WLANs;a new neighborhood monitoring protocol for co-ordination of multi-AGVs;design and implementation of a controller for automated driver evaluation;landmark manipulation system for robot navigation;a fast locking digital phase-locked loop using programmable charge pump;video player parallelization and optimization for embedded asymmetric dual-core architecture;and image streaming with multiple descriptions and network coding in mesh networks.
Dialysis patients with high BMI experience survival advantages as compared to dialysis patients with low BMI. Preliminary modeling results seem to confirm the dependence of survival probabilities on BMI, but also show...
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Recent approaches to Reinforcement Learning (RL) with function approximation include Neural Fitted Q Iteration and the use of Gaussian Processes. they belong to the class of fitted value iteration algorithms, which us...
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One among the most influential and popular data mining methods is the k-Means algorithm for cluster analysis. Techniques for improving the efficiency of k-Means have been largely explored in two main directions. the a...
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Finding the longest cycle is a novel concept in biochemical feedback loop analysis in systems biology. Biochemical networks are often represented as directed graphs in which vertices represent chemical compounds and e...
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