A global optimisation approach to classification in medical diagnosis and prognosis
- Authors: Bagirov, Adil , Rubinov, Alex , Yearwood, John , Stranieri, Andrew
- Date: 2001
- Type: Text , Conference paper
- Relation: Paper presented at 34th Hawaii International Conference on System Sciences, HICSS-34, Maui, Hawaii, USA : 3rd-6th January 2001
- Full Text:
- Description: In this paper global optimisation-based techniques are studied in order to increase the accuracy of medical diagnosis and prognosis with FNA image data from the Wisconsin Diagnostic and Prognostic Breast Cancer databases. First we discuss the problem of determining the most informative features for the classification of cancerous cases in the databases under consideration. Then we apply a technique based on convex and global optimisation to breast cancer diagnosis. It allows the classification of benign cases and malignant ones and the subsequent diagnosis of patients with very high accuracy. The third application of this technique is a method that calculates centres of clusters to predict when breast cancer is likely to recur in patients for which cancer has been removed. The technique achieves higher accuracy with these databases than reported elsewhere in the literature.
- Description: 2003003950
Analytics service oriented architecture for enterprise information systems
- Authors: Sun, Zhaohao , Strang, Kenneth , Yearwood, John
- Date: 2014
- Type: Text , Conference paper
- Relation: 16th International Conference on Information Integration and Web-based Applications & Services
- Full Text: false
- Reviewed:
- Description: Big data analytics and business analytics are disruptive technology and innovative solution for enterprise development. However, what is the relationship between big data analytics and business analytics? What is the relationship between business analytics and enterprise information systems (EIS)? How can business analytics enhance the development of EIS? These are still big issues for EIS development. This paper addresses these three issues by proposing an ontology of business analytics, presenting an analytics service-oriented architecture (ASOA) and applying ASOA to EIS, where our surveyed data analysis showed that the proposed ASOA can enhance to develop EIS. This paper also discusses the interrelationship between data analysis and business analytics, and between data analytics and big data analytics. The proposed approaches in this paper will facilitate research and development of EIS, business analytics, big data analytics, and business intelligence.
The impact of semantic class identification and semantic role labeling on natural language answer extraction
- Authors: Ofoghi, Bahadorreza , Yearwood, John , Ma, Liping
- Date: 2008
- Type: Text , Conference paper
- Relation: Paper presented at 30th European Conference on IR Research, ECIR 2008, Glasgow, UK : 30th March - 3rd April 2008 p. 430-437
- Full Text: false
- Description: In satisfying an information need by a Question Answering (QA) system, there are text understanding approaches which can enhance the performance of final answer extraction. Exploiting the FrameNet lexical resource in this process inspires analysis of the levels of semantic representation in the automated practice where the task of semantic class and role labeling takes place. In this paper, we analyze the impact of different levels of semantic parsing on answer extraction with respect to the individual sub-tasks of frame evocation and frame element assignment.
- Description: 2003006587
Understanding victims of identity theft: A grounded theory approach
- Authors: Turville, Kylie , Firmin, Sally , Yearwood, John , Miller, Charlynn
- Date: 2010
- Type: Text , Conference paper
- Relation: 5th International Conference on Qualitative Research in IT and IT in Qualitative Research, QualIT 2010
- Full Text:
- Reviewed:
- Description: Being a victim of identity theft can be a devastating and life-changing event. Once the victim discovers the misuse they need to begin the process of recovery. For the "lucky" victims this may take only a couple of phone calls and a small amount of time; however, some victims may experience difficulties for many year. In order to recover, victims of crime require support and assistance; however, within Australia this support is sadly lacking. In order to identify the issues currently faced by victims of identity theft as they work through the recovery process, a Grounded Theory methodology was identified as most appropriate. This paper provides a brief overview of the history of the research project; a brief introduction of grounded theory with a focus on preconceived ideas and their implications; and a description of the research project currently being undertaken. A discussion of some issues experienced when using grounded theory within an IT department with very little experience of qualitative research will be provided, along with some preliminary results.
- Description: E1