Adaptable Services for Novelty Mining

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Author(s): Flora S. Tsai (Nanyang Technological University, Singapore), Agus T. Kwee (Nanyang Technological University, Singapore), Wenyin H. S. Tang (Nanyang Technological University, Singapore)and Kap L. Chan (Nanyang Technological University, Singapore)
Copyright: 2012
Pages: 18
Source title: Theoretical and Analytical Service-Focused Systems Design and Development
Source Author(s)/Editor(s): Dickson K. W. Chiu (Dickson Computer Systems and The Hong Kong Polytechnic University, Hong Kong)
DOI: 10.4018/978-1-4666-1767-4.ch015

Keywords: Computer Science & IT / Information Science Reference / Systems & Software Design / Systems and Software Engineering

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Abstract

Novelty mining is the process of mining relevant information on a given topic. However, designing adaptable services for real-world novelty mining faces several challenges like real-time processing of incoming documents, computational efficiency, multi-user working environment, diverse system requirements, and integration of domain knowledge from different users. In this paper, the authors bridge the gap between generic data mining methodologies and domain-specific constraints by providing adaptable services for intelligent novelty mining that model user preferences by synthesizing the parameters of novelty scoring, threshold setting, performance monitoring, and contextual information access. The resulting novelty mining system has been tested in a variety of performance situations and user settings. By considering the special issues based on domain knowledge, the authors’ adaptable novelty mining services can be used to support a real-life enterprise.

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