Titlebook: Data Engineering and Management; Second International Rajkumar Kannan,Frederic Andres Conference proceedings 2012 Springer-Verlag GmbH Berl

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Semantic Collation of Enterprise Data for Effective Information Retrieval that contain relevant data will need to be semantically tagged and their semantic cross-relationship identified. We present a 3-tier ontology based architecture to semantically collate the information from disparate data sources in an enterprise.

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Using the Normalization for Typographic Errors in Numeralse more likely to differ by a few days than by several years. In order to tackle the variations in numbers a few methods are available. The paper proposes a new normalization technique useful for the numerical record. A Comparison of Distance with the Smith Waterman Distance shows significant increase in the weight by the present technique.

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Conference proceedings 2012carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Digital Library; Knowledge and Mulsemedia; Data Management and Knowledge Extraction; Natural Language Processing; Workshop on Data Mining with Graphs and Matrices.

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https://doi.org/10.1007/978-3-662-26537-6to verify this hypothesis the highly frequent time series will be evaluated in terms of forecasting quality where future value is predicted only on the basis of the past quotations. In this project as a predictive algorithm ARAR will be applied due to its good results in forecasting of the real financial time series.

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G. Leclercq,S. Toma,J. C. Heusonrelation, alarm associations, self-healing or pro-active fault management. In this paper, we present an overview of the different pattern mining techniques used in NMSs, compare them and present the most beneficial ones to NMS for Radio over Fiber (RoF) like convergent networks.

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Ontology Driven Data Management with Topic Mapsn an application domain. Existing semantic layers in current systems are not yet capable of supporting relevant contextual semantic description. In this paper, we aim at extending the many-sorted algebra formalizing the topic maps layer in order to support 5W1H contexts (What, Why, Where, Who, When and How) using TMBLOG system as case study.