Multiple Data Source Discovery: Group Interaction Approach

Funding: 2009: $115,000
2010: $70,000
2011: $70,000
2012: $85,000
2013: $70,000

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)

Start year: 2009

Summary: Traditional multiple data source discovery focuses on mining those patterns that are at the attribute-value level. This project will study theory and methodology for knowledge discovery from multiple data source at the attribute level. The project will contribute new results in missing data imputation; identifying group interactions among data sources with missing data; and new theory for global pattern discovery. These patterns are essentially different from traditional patterns, but are much more useful, such as identifying clues for snaring terrorists and difference detection for new medical product evaluation. This project will deliver a paradigm shift from extant multiple data source discovery techniques.

Publications:

Zhenjun Tang, Xianquan Zhang & Shichao Zhang 2014, 'Robust Perceptual Image Hashing Based on Ring Partition and NMF', IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 3, pp. 711-724.
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Huang, F, Zhang, S, Yuan, C & Zhong, Z 2012, 'Memory performance prediction of web server applications based on grey system theory', Lecture Notes in Computer Science, vol. 7235, pp. 660-668.

Tang, Z, Dai, Y, Zhang, X & Zhang, S 2012, 'Perceptual Image Hashing with Histogram of Color Vector Angles', Lecture Notes in Computer Science, vol. 7669, pp. 237-246.
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Wang, T, Qin, Z, Zhang, S & Zhang, C 2012, 'Cost-sensitive classification with inadequate labeled data', Information Systems, vol. 37, no. 5, pp. 508-516.
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Zhang, S, Chen, F, Wu, X, Zhang, C & Wang, R 2012, 'Mining bridging rules between conceptual clusters', Applied Intelligence, vol. 36, no. 1, pp. 108-118.
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Zhang, X, Tang, Z, Liang, T, Zhang, S, Zhu, Y & Sun, Y 2012, 'Data Hiding Method Based on Local Image Features', Lecture Notes in Computer Science, vol. 7669, pp. 247-256.
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Zhang, S, Jin, Z, Zhu, X & Zhang, J 2009, 'Missing Data Analysis: A Kernel-Based Multi-Imputation Approach', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5300 LNCS, no. 1, pp. 122-142.
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Zhang, S, You, X, Jin, Z & Wu, X 2009, 'Mining globally interesting patterns from multiple databases using kernel estimation', Expert Systems with Applications, vol. 36, no. 8, pp. 10863-10869.
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Keywords: Data mining, Knowledge discovery in databases, Multiple data source discovery,

FOR Codes: Information Processing Services (incl. Data Entry and Capture), Information Retrieval and Web Search, Database Management, Application Tools and System Utilities, Information Storage, Retrieval and Management, Artificial Intelligence and Image Processing, Information processing services, Application packages, Application Software Packages (excl. Computer Games), Database systems, Knowledge representation and reasoning, Application software packages, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.