List of Publications

Book Publications:

Mining of Data with Complex Structures

Series: Studies in Computational Intelligence, Vol. 333 February 2011

Authors: Fedja Hadzic, Henry Tan, Tharam S. Dillon

The primary audience is 3rd year, 4th year undergraduate students, Masters and PhD students and academics. The book can be used for both teaching and research. The secondary audiences are practitioners in industry, business, commerce, government and consortiums, alliances and partnerships to learn how to introduce and efficiently make use of the techniques for mining of data with complex structures into their applications. The scope of the book is both theoretical and practical and as such it will reach a broad market both within academia and industry. In addition, its subject matter is a rapidly emerging field that is critical for efficient analysis of knowledge stored in various domains. 

Conference/Journal Publications:

0. Risvik, KM, Chilimbi, T, Tan, H, Anderson, C, and Kalyanaraman, K. 'Maguro, a system for indexing and searching over very large text collections', Proceeding of the 6th International Conference on Web Search and Data Mining (WSDM 2013), Rome Feb 4-8, 2013.

1. Tan, H, Dillon, TS, Feng, L, Chang, E & Hadzic, F 2005, ‘X3-Miner: Mining patterns from XML database’, in A Zanasi, CA Brebbia & NFF Ebecken (eds), Proceedings of the 6th International Conference on Data Mining (Data Mining’05), Skiathos, Greece, WIT Press, pp. 287-297.

2. Tan, H, Dillon, TS, Hadzic, F, Feng, L & Chang, E 2005, ‘MB3-Miner: Mining eMBedded subTREEs using tree model guided candidate generation’, Proceedings of the 1st International Workshop on Mining Complex Data (MCD’05), Houston, TX, USA, pp. 103-110.

3. Tan, H, Dillon, TS, Hadzic, F, Chang, E & Feng, L 2006, ‘IMB3-Miner: Mining induced/embedded subtrees by constraining the level of embedding’, In WK Ng, M Kitsuregawa & J Li (eds), Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’06), Singapore, pp. 450-461.

4. Tan, H, Dillon, TS & Hadzic, F 2006, ‘Razor: Distance constrained mining of embedded subtrees’, in Tsumota & Shusaku (eds), Proceedings of the International Conference on Data Mining (ICDM’06), Hongkong, pp. 8-13.

5. Tan, H, Dillon, TS, Hadzic, F, Feng, L & Chang, E 2007, ‘Tree model guided candidate generation for mining frequent subtrees from XML’, accepted for publication in Transactions on Knowledge Discovery from Data (TKDD).

6. Tan, H, Dillon, TS, Hadzic, F, Chang, E & Feng, L 2007, ‘Mining induced /embedded subtrees using the level of embedding constraint’, submitted to Fundamenta Informaticae.

7. Tan, H, Hadzic, F, Dillon, TS & Chang, E 2008, ‘State of the art of data mining of tree structured information’, Computer System Science and Engineering, vol. 23, no. 4, July 2008 (pending publication).

8. Tan, H, Dillon, TS, Hadzic, F & Chang, E 2006, ‘SEQUEST: Mining frequent subsequences using DMA strips’, in A Zanasi, CA Brebbia & NFF Ebecken (eds), Proceedings of the 7th International Conference on Data Mining and Information Engineering (Data Mining’06), Prague, Czech Republic, WIT Press, pp. 315-328.

9. Hadzic, F, Dillon, TS, Sidhu, AS, Chang, E & Tan, H 2006, ‘Mining substructures in protein data’, Proceedings of the 6th International Conference on Data Mining Workshop (ICDMW’06) - Invited, Hong Kong, pp. 213-217.

10. Hadzic, F, Tan, H & Dillon, TS 2007, ‘UNI3 - efficient algorithm for mining unordered induced subtrees using TMG candidate generation’, Proceedings of the Computational Intelligence and Data Mining (CIDM’07), Hawaii, USA, pp. 568-575.

11. Hadzic, F, Tan, H, Dillon, TS & Chang, E 2008, ‘U3: Unordered subtree mining using TMG candidate generation and the level of embedding constraint’, (pending publication).

12. Hadzic, F, Tan, H, Dillon, TS & Chang, E 2007, ‘Implications of frequent subtree mining using hybrid support definition’, in A Zanasi, CA Brebbia & NFF Ebecken (eds), Proceedings of the 8th International Conference on Data Mining & Information Engineering (Data Mining’07), The New Forest, UK, WIT Press, pp. 13-24.

13. Hadzic, F, Dillon, TS & Tan, H 2007, ‘Outlier detection strategy using the self-organizing map’, in X Zhu & I Davidson (eds), Knowledge Discovery and Data Mining: Challenges and Realities, Information Science Reference, Hershey, PA, USA, pp. 224-243.

14. Hadzic, F, Dillon, TS, Tan, H, Feng, L & Chang, E 2007, ‘Mining frequent patterns using self-organizing map’, in D Taniar (ed.), Research and Trends in Data Mining Technologies and Applications: Advances in Data Warehousing and Mining, IGI Global, Hershey, PA, USA, pp. 121-135.

15. Sidhu, AS, Dillon, TS & Setiawan, H 2004, ‘XML based semantic protein map’, in A Zanasi, NFF Ebecken & CA Brebbia (eds), Proceedings of 5th International Conference on Data Mining, Text Mining and their Business Applications (Data Mining’04), Malaga, Spain, WIT Press, pp. 51-60.

16. Sidhu, AS, Dillon, TS & Setiawan, H 2004, ‘Comprehensive protein database representation’, in A Gramada & PE Bourne (eds), Proceedings of the 8th International Conference on Research in Computational Biology (RECOMB’04), ACM Press, San Diego, CA, USA, pp. 427-429.

17. Sidhu, AS, Dillon, TS, Sidhu, BS & Setiawan, H 2004, ‘Protein knowledge meta model’, Molecular & Cellular Proteomics, pp. 262-263.