Search Results - subject:"data structures"

A data structure for supply chain management systems

Ardalan, Ali; Ardalan, Roya - In: Industrial Management & Data Systems 109 (2009) 1, pp. 138-150

structures that are used for data storage and retrieval. Each module in the software should use data structures that are … major aim of supply management systems is timely production and delivery of products. This paper reviews data structures and … role of data structures in SCM software and develops a data structure that can be used in the scheduling routine of SCM …

Persistent link: https://www.econbiz.de/10014824152

Structure‐preserving and query‐biased document summarisation for web searching

Canan Pembe, F.; Güngör, Tunga - In: Online Information Review 33 (2009) 4, pp. 696-719

Purpose – The purpose of this paper is to develop a new summarisation approach, namely structure‐preserving and query‐biased summarisation, to improve the effectiveness of web searching. During web searching, one aid for users is the document summaries provided in the search results....

Persistent link: https://www.econbiz.de/10014965930

Memory Practices in the Sciences

Bawden, David - In: Journal of Documentation 62 (2006) 5, pp. 645-646

Persistent link: https://www.econbiz.de/10014853223

Information systems in value configurations

Gottschalk, Petter - In: Industrial Management & Data Systems 106 (2006) 7, pp. 1060-1070

Purpose – This paper proposes a value configuration approach for managing information technology in enterprises. Design/methodology/approach – This conceptual research paper is concerned with industrial management and data systems from the perspective of value configurations. The value...

Persistent link: https://www.econbiz.de/10014823984

Datenmodellierung und Datenbankentwurf : Ein Vergleich aktueller Methoden

Staud, Josef L. - 2005

Persistent link: https://www.econbiz.de/10004882655

Inflation and rental change in industrial property : A multi‐level analysis

Jackson, Catherine; White, Michael - In: Journal of Property Investment & Finance 23 (2005) 4, pp. 342-363

Purpose – The industrial property market has traditionally been under‐researched but, in recent years, studies have ranged from examining rental change at the national level to examining supply factors at the local level. These studies are valuable to the real estate community, but there...

Persistent link: https://www.econbiz.de/10014898103

A requirements‐driven workload model for XML benchmark

Seng, Jia‐Lang; Yu, Jing - In: Industrial Management & Data Systems 105 (2005) 8, pp. 1096-1114

Purpose – To provide a more requirements‐driven workload model for eXtensible Markup Language (XML) benchmark over the electronic data exchange and management in collaborative commerce. Design/methodology/approach – A three‐component workload requirements model is formulated. They are...

Persistent link: https://www.econbiz.de/10014823918

Data structuring and classification in newly‐emerging scientific fields

Juvan, Simona; Bartol, Tomaz; Boh, Bojana - In: Online Information Review 29 (2005) 5, pp. 483-498

Purpose – The article seeks to address a methodological procedure based on keyword analysis and the structuring of data into information systems in the field of functional foods, a newly‐emerging scientific field within the broader scope of food sciences and technology....

Persistent link: https://www.econbiz.de/10014965555

Chain models in computer simulation

Egli, R.; Stewart, N.F. - In: Mathematics and Computers in Simulation (MATCOM) 66 (2004) 6, pp. 449-468

This paper presents an extension of a previously-described framework for the specification and manipulation of models of systems. The original framework and its extension include a convenient application programming interface (API), and this paper describes examples of the use of this API in the...

Persistent link: https://www.econbiz.de/10010869880

Document retrieval from a citation database using conceptual clustering and co‐word analysis

Hui, S.C.; Fong, A.C.M. - In: Online Information Review 28 (2004) 1, pp. 22-32

Traditional document retrieval techniques are ineffective in finding relevant documents due to a lack of semantic understanding of relevance. In this article, two techniques are described – conceptual clustering and co‐word analysis – aimed at injecting intelligence into the retrieval of...

Persistent link: https://www.econbiz.de/10014965409