 | 2009 |
| 15 |  | Li-Shiang Tsay,
Seunghyun Im:
Mining Non-redundant Reclassification Rules.
IEA/AIE 2009: 806-815 |
| 14 |  | Zbigniew W. Ras,
Li-Shiang Tsay,
Agnieszka Dardzinska:
Tree-Based Algorithms for Action Rules Discovery.
Mining Complex Data 2009: 153-163 |
| 2008 |
| 13 |  | Zbigniew W. Ras,
Agnieszka Dardzinska,
Li-Shiang Tsay,
Hanna Wasyluk:
Association Action Rules.
ICDM Workshops 2008: 283-290 |
| 12 |  | Li-Shiang Tsay,
Zbigniew W. Ras,
Seunghyun Im:
Reclassification Rules.
ICDM Workshops 2008: 619-627 |
| 11 |  | Li-Shiang Tsay,
Zbigniew W. Ras:
Discovering the Concise Set of Actionable Patterns.
ISMIS 2008: 169-178 |
| 10 |  | Seunghyun Im,
Zbigniew W. Ras,
Li-Shiang Tsay:
Multi-granularity Classification Rule Discovery Using ERID.
RSKT 2008: 491-499 |
| 9 |  | Li-Shiang Tsay,
Zbigniew W. Ras:
E-Action Rules.
Data Mining: Foundations and Practice 2008: 277-288 |
| 8 |  | Zbigniew W. Ras,
Li-Shiang Tsay:
Mining E-Action Rules, System DEAR.
Data Mining: Foundations and Practice 2008: 289-298 |
| 7 |  | Moutaz Khouja,
Mirsad Hadzikadic,
Hari K. Rajagopalan,
Li-Shiang Tsay:
Application of complex adaptive systems to pricing of reproducible information goods.
Decision Support Systems 44(3): 725-739 (2008) |
| 2006 |
| 6 |  | Li-Shiang Tsay,
Zbigniew W. Ras:
Action Rules Discovery System DEAR_3.
ISMIS 2006: 483-492 |
| 2005 |
| 5 |  | Zbigniew W. Ras,
Angelina A. Tzacheva,
Li-Shiang Tsay,
Osman Gürdal:
Mining for Interesting Action Rules.
IAT 2005: 187-193 |
| 4 |  | Li-Shiang Tsay,
Zbigniew W. Ras:
Action rules discovery: system DEAR2, method and experiments.
J. Exp. Theor. Artif. Intell. 17(1-2): 119-128 (2005) |
| 2004 |
| 3 |  | Li-Shiang Tsay,
Zbigniew W. Ras,
Alicja Wieczorkowska:
Tree-based Algorithm for Discovering Extended Action-Rules (System DEAR2).
Intelligent Information Systems 2004: 459-464 |
| 2003 |
| 2 |  | Zbigniew W. Ras,
Li-Shiang Tsay:
Discovering Extended Action-Rules (System DEAR).
IIS 2003: 293-300 |
| 1 |  | Alicja Wieczorkowska,
Zbigniew W. Ras,
Li-Shiang Tsay:
Representing Audio Data by FS-Trees and Adaptable TV-Trees.
ISMIS 2003: 135-142 |