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Books and Theses
- 2003
[b1]Sigal Sahar:
What Is Interesting: Studies on Interestingness in Knowledge Discovery. Tel Aviv University, Israel, 2003
Journal Articles
- 2000
- [j1]Yishay Mansour, Sigal Sahar:
Implementation Issues in the Fourier Transform Algorithm. Mach. Learn. 40(1): 5-33 (2000)
Conference and Workshop Papers
- 2006
- [c7]Amit Bose, Kalyan Beemanapalli, Jaideep Srivastava, Sigal Sahar:
Incorporating Concept Hierarchies into Usage Mining Based Recommendations. WEBKDD 2006: 110-126 - 2002
- [c6]Sigal Sahar:
Exploring Interestingness Through Clustering: A Framework. ICDM 2002: 677-680 - [c5]Sigal Sahar:
On Incorporating Subjective Interestingness Into the Mining Process. ICDM 2002: 681-684 - 2001
- [c4]Sigal Sahar:
Interestingness PreProcessing. ICDM 2001: 489-496 - 1999
- [c3]Sigal Sahar, Yishay Mansour:
Empirical evaluation of interest-level criteria. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 1999: 63-74 - [c2]Sigal Sahar:
Interestingness via What is Not Interesting. KDD 1999: 332-336 - 1995
- [c1]Yishay Mansour, Sigal Sahar:
Implementation Issues in the Fourier Transform Algorithm. NIPS 1995: 260-266
Parts in Books or Collections
- 2010
- [p2]Sigal Sahar:
Interestingness Measures - On Determining What Is Interesting. Data Mining and Knowledge Discovery Handbook 2010: 603-612 - 2005
- [p1]Sigal Sahar:
Interestingness Measures - On Determining What Is Interesting. The Data Mining and Knowledge Discovery Handbook 2005: 649-660
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