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Fedja Hadzic
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2020 – today
- 2023
- [c30]Fedja Hadzic, Maya Krayneva:
Lateral AI: Simulating Diversity in Virtual Communities. AI (2) 2023: 41-53
2010 – 2019
- 2015
- [j9]Fedja Hadzic, Michael Hecker, Andrea Tagarelli
:
Ordered subtree mining via transactional mapping using a structure-preserving tree database schema. Inf. Sci. 310: 97-117 (2015) - [j8]Dang Bach Bui, Fedja Hadzic, Andrea Tagarelli
Evaluation of an associative classifier based on position-constrained frequent/closed subtree mining. J. Intell. Inf. Syst. 45(3): 397-421 (2015) - [p1]Izwan Nizal Mohd Shaharanee
Irrelevant Feature and Rule Removal for Structural Associative Classification Using Structure-Preserving Flat Representation. Feature Selection for Data and Pattern Recognition 2015: 199-228 - 2014
- [j7]Izwan Nizal Mohd Shaharanee
Evaluation and optimization of frequent, closed and maximal association rule based classification. Stat. Comput. 24(5): 821-843 (2014) - 2013
- [c29]Davor Meersman, Fedja Hadzic, Jeff Hughes
Health Service Discovery and Composition in Ambient Assisted Living: the Australian Type 2 Diabetes Case Study. HICSS 2013: 1337-1346 - [c28]Dang Bach Bui, Fedja Hadzic, Michael Hecker:
Evaluation of Position-Constrained Association-Rule-Based Classification for Tree-Structured Data. PAKDD Workshops 2013: 379-391 - 2012
- [j6]Henry Tan, Fedja Hadzic, Tharam S. Dillon:
Mining Induced/Embedded Subtrees using the Level of Embedding Constraint. Fundam. Informaticae 119(2): 187-231 (2012) - [c27]Fedja Hadzic, Pieter De Leenheer, Davor Meersman:
Patient and Business Rules Extraction and Formalisation Using SVN and SBVR for Automated Healthcare. ACIS 2012 - [c26]Dang Bach Bui, Fedja Hadzic, Michael Hecker:
Application of Tree-structured Data Mining for Analysis of Process Logs in XML format. AusDM 2012: 109-118 - [c25]Novita Ikasari
An Assessment on Loan Performance from Combined Quantitative and Qualitative Data in XML. Discovery Science 2012: 268-283 - [c24]Dang Bach Bui, Fedja Hadzic, Vidyasagar M. Potdar
A Framework for Application of Tree-Structured Data Mining to Process Log Analysis. IDEAL 2012: 423-434 - 2011
- [j5]Izwan Nizal Mohd Shaharanee
Interestingness measures for association rules based on statistical validity. Knowl. Based Syst. 24(3): 386-392 (2011) - [c23]Fedja Hadzic, Michael Hecker, Andrea Tagarelli
XML Document Clustering Using Structure-Preserving Flat Representation of XML Content and Structure. ADMA (2) 2011: 403-416 - [c22]Fedja Hadzic:
A Structure Preserving Flat Data Format Representation for Tree-Structured Data. PAKDD Workshops 2011: 221-233 - [c21]Fedja Hadzic, Michael Hecker:
Alternative Approach to Tree-Structured Web Log Representation and Mining. Web Intelligence 2011: 235-242 - 2010
- [b1]Fedja Hadzic, Henry Tan, Tharam S. Dillon:
Mining of Data with Complex Structures. Studies in Computational Intelligence 333, Springer 2010, ISBN 978-3-642-17556-5, pp. 1-326 [contents] - [j4]Maja Hadzic, Fedja Hadzic, Tharam S. Dillon:
Mining of patient data: towards better treatment strategies for depression. Int. J. Funct. Informatics Pers. Medicine 3(2): 122-143 (2010) - [j3]Fedja Hadzic, Henry Tan, Tharam S. Dillon:
Model guided algorithm for mining unordered embedded subtrees. Web Intell. Agent Syst. 8(4): 413-430 (2010) - [c20]Qi H. Pan, Fedja Hadzic, Tharam S. Dillon:
Discovering Concept Mappings by Similarity Propagation among Substructures. IDEAL 2010: 324-333 - [c19]Izwan Nizal Mohd Shaharanee
A Statistical Interestingness Measures for XML Based Association Rules. PRICAI 2010: 194-205
2000 – 2009
- 2009
- [c18]Izwan Nizal Mohd Shaharanee
Interestingness of Association Rules Using Symmetrical Tau and Logistic Regression. Australasian Conference on Artificial Intelligence 2009: 422-431 - 2008
- [j2]Henry Tan, Fedja Hadzic, Tharam S. Dillon, Elizabeth Chang:
State of the art of data mining of tree structured information. Comput. Syst. Sci. Eng. 23(4) (2008) - [j1]Henry Tan, Fedja Hadzic, Tharam S. Dillon, Elizabeth Chang
Tree model guided candidate generation for mining frequent subtrees from XML documents. ACM Trans. Knowl. Discov. Data 2(2): 9:1-9:43 (2008) - [c17]Fedja Hadzic, Tharam S. Dillon:
Rule Optimizing Technique Motivated by Human Concept Formation. BIOSIGNALS (2) 2008: 31-36 - [c16]Maja Hadzic, Fedja Hadzic, Tharam S. Dillon:
Mining of Health Information from Ontologies. HEALTHINF (2) 2008: 155-160 - [c15]Fedja Hadzic, Tharam S. Dillon:
Human-Like Rule Optimization for Continuous Domains. BIOSTEC (Selected Papers) 2008: 330-343 - [c14]Maja Hadzic, Russel D'Souza, Fedja Hadzic, Tharam S. Dillon:
Thinking PubMed: an Innovative System for Mental Health Domain. CBMS 2008: 330-335 - [c13]Fedja Hadzic, Henry Tan, Tharam S. Dillon:
Mining Unordered Distance-Constrained Embedded Subtrees. Discovery Science 2008: 272-283 - [c12]Maja Hadzic, Fedja Hadzic, Tharam S. Dillon:
Tree Mining in Mental Health Domain. HICSS 2008: 230 - [c11]Fedja Hadzic, Tharam S. Dillon, Elizabeth Chang
Knowledge Analysis with Tree Patterns. HICSS 2008: 369 - [c10]Fedja Hadzic, Tharam S. Dillon:
Using Competitive Learning between Symbolic Rules as a Knowledge Learning Method. IFIP AI 2008: 351-360 - [c9]Qi H. Pan, Fedja Hadzic, Tharam S. Dillon:
Conjoint Data Mining of Structured and Semi-structured Data. SKG 2008: 87-94 - [c8]Fedja Hadzic, Henry Tan, Tharam S. Dillon:
U3 - Mning Unordered Embedded Subtrees Using TMG Candidate Generation. Web Intelligence 2008: 285-292 - 2007
- [c7]Fedja Hadzic, Henry Tan, Tharam S. Dillon:
UNI3 - efficient algorithm for mining unordered induced subtrees using TMG candidate generation. CIDM 2007: 568-575 - [c6]Fedja Hadzic, Tharam S. Dillon, Elizabeth Chang
Tree Mining Application to Matching of Heterogeneous Knowledge Representations. GrC 2007: 351-357 - [c5]Fedja Hadzic, Tharam S. Dillon:
CSOM for Mixed Data Types. ISNN (2) 2007: 965-978 - [c4]Fedja Hadzic, Tharam S. Dillon:
Application of Tree Mining to Matching of Knowledge Structures of Decision Tree Type. OTM Workshops (2) 2007: 1319-1328 - 2006
- [c3]Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabeth Chang
Razor: mining distance-constrained embedded subtrees. ICDM Workshops 2006: 8-13 - [c2]Fedja Hadzic, Tharam S. Dillon, Amandeep S. Sidhu
Mining Substructures in Protein Data. ICDM Workshops 2006: 213-217 - [c1]Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabeth Chang
IMB3-Miner: Mining Induced/Embedded Subtrees by Constraining the Level of Embedding. PAKDD 2006: 450-461
Coauthor Index
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