planning - designing - developing IT
Special Interest Group on Systems Analysis and Design

Conference Papers

SIGSAND papers are published in many scientific conferences, including ICIS, AMCIS, HICSS, as well as the dedicated conference – SIGSAND Symposium. The recent conference publications are listed below.

Metaprogramming for Relational Databases

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For systems that share enough structural and functional commonalities, reuse in schema development and data manipulation can be achieved...

Incremental Navigation: Providing Simple and Generic Access to Heterogeneous Structures

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We present an approach to support incremental navigation of structured information, where the structure is introduced by the data...

Agent Patterns for Ambient Intelligence

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The realization of complex distributed applications, required in areas such as e-Business, e-Government, and ambient intelligence, calls for new...

Modeling the Semantics of 3D Protein Structures

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The post Human Genome Project era calls for reliable, integrated, flexible, and convenient data management techniques to facilitate research...

Risk-Driven Conceptual Modeling of Outsourcing Decisions

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In the current networked world, outsourcing of information technology or even of entire business processes is often a prominent...

Merging of XML Documents

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How to deal with the heterogeneous structures of XML documents, identify XML data instances, solve conflicts, and effectively merge...

Schema-Based Web Wrapping

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An effective solution to automate information integration is represented by wrappers, i.e. programs which are designed for extracting relevant...

Web Taxonomy Integration Using Spectral Graph Transducer

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We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not...

Contextual Probability-Based Classification

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The k-Nearest-Neighbors (kNN) method for classification is simple but effective in many cases. The success of kNN in classification...

Improving the Performance of Decision Tree: A Hybrid Approach

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In this paper, a hybrid learning approach named Flexible NBTree is proposed. Flexible NBTree uses Bayes measure δ to...