Search Results - subject:"Data integration"

Weighted kernel Fisher discriminant analysis for integrating heterogeneous data

Hamid, Jemila S.; Greenwood, Celia M.T.; Beyene, Joseph - In: Computational Statistics & Data Analysis 56 (2012) 6, pp. 2031-2040

Data integration is becoming an essential tool to cope with and make sense of the ever increasing amount of biological …

Persistent link: https://www.econbiz.de/10010574447

Formulation of the Evolutionary-Based Data Assimilation, and its Implementation in Hydrological Forecasting

Dumedah, Gift - In: Water Resources Management 26 (2012) 13, pp. 3853-3870

Multi-objective evolutionary algorithms (MOEAs) have gained popularity for their capability to handle complex and nonlinear problems. MOEAs are population-based search tools which employ the concept of biological evolution and natural selection. While MOEAs have been applied in numerous...

Persistent link: https://www.econbiz.de/10010998155

Energy information integration based on EMS in paper mill

Wu, Bo; Li, Jigeng; Liu, Huanbin; Zhang, Zhanbo; Zhou, … - In: Applied Energy 93 (2012) C, pp. 488-495

The systematic, transparent and accurate on-line energy information of the production process is quite the basis of mill energy management and conservation. An Energy Management System (EMS) was built according to the characteristics of the energy usage in a typical newsprint paper mill. The EMS...

Persistent link: https://www.econbiz.de/10010572045

Data modelling and ontological semantics

Telnarova, Zdenka - In: International Journal of Data Analysis Techniques and … 4 (2012) 3, pp. 237-255

The paper deals with semantic data model and its application in data integration. It analyses the issue of mapping …

Persistent link: https://www.econbiz.de/10010669758

DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources

Fan, Weiguo; Lu, Hongjun; Madnick, Stuart; Cheung, David - Sloan School of Management, Massachusetts Institute of … - 2003

The successful integration of data from autonomous and heterogeneous systems calls for the resolution of semantic conflicts that may be present. Such conflicts are often reffected by discrepancies in attribute values of the same data object. In this paper, we describe a recently developed...

Persistent link: https://www.econbiz.de/10005587370

Data Integration using Web Services

Hansen, Mark; Madnick, Stuart; Siegel, Michael - Sloan School of Management, Massachusetts Institute of … - 2003

In this paper we examine the opportunities for data integration in the context of the emerging Web Services systems … introduction to the problems and research issues encountered when applying Web Services to data integration. We provide a formal … definition of aggregation (as a type of data integration) and discuss the impact of Web Services on aggregation. We show that Web …

Persistent link: https://www.econbiz.de/10005587496

Indagini dirette e fonti amministrative: dall’alternativa all’ancora incompiuta integrazione

Sestito, Paolo; Trivellato, Ugo - In: Rivista di Politica Economica (2011) 3, pp. 183-227

The paper is about the relationships between registers and surveys in the Italian official statistics. After a brief introduction on the historical background, marked by a polarization between the two strategies of data collection, the focus is on the 1980s and early 1990s. Under the presidency...

Persistent link: https://www.econbiz.de/10010575262

A Fuzzy Ontology-Based Semantic Data Integration System

Yaguinuma, Cristiane A.; Afonso, Gustavo F.; Ferraz, … - In: Journal of Information & Knowledge Management (JIKM) 10 (2011) 03, pp. 285-299

Data integration becomes even more necessary given the increasing availability of data from distributed and … of vague information relevant to some domains. In this context, this paper presents DISFOQuE system for data integration …

Persistent link: https://www.econbiz.de/10009274276

R2O: Relation to Ontology Transformation System

Khan, Sharifullah; Sonia, Kiran - In: Journal of Information & Knowledge Management (JIKM) 10 (2011) 01, pp. 71-89

Ontology represents a data source at a higher level of abstraction. Extracting metadata from an autonomous data source and transforming it into source ontology is a tedious and error prone task because the metadata are either incomplete or not available. The essential metadata of a source can be...

Persistent link: https://www.econbiz.de/10008914817

Scalable Ontological EAI and e-Business Integration

Lemcke, Jens - 2010

Integration of enterprise applications (EAI) and e-business integration are time-consuming and expensive. This thesis proposes pattern mining to determine identical object classes. Processes are integrated based on declared integration goals and known software behavior. A model-driven approach...

Persistent link: https://www.econbiz.de/10009434529