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Incorporating Concept Hierarchies into Usage Mining Based Recommendations.

, , , and . WEBKDD, volume 4811 of Lecture Notes in Computer Science, page 110-126. Springer, (2006)

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Incorporating Concept Hierarchies into Usage Mining Based Recommendations., , , and . WEBKDD, volume 4811 of Lecture Notes in Computer Science, page 110-126. Springer, (2006)Implementation Issues in the Fourier Transform Algorithm., and . NIPS, page 260-266. MIT Press, (1995)What Is Interesting: Studies on Interestingness in Knowledge Discovery. Tel Aviv University, Israel, (2003)Tel Aviv University Library.Empirical evaluation of interest-level criteria., and . Data Mining and Knowledge Discovery: Theory, Tools, and Technology, volume 3695 of SPIE Proceedings, page 63-74. SPIE, (1999)Interestingness via What is Not Interesting.. KDD, page 332-336. ACM, (1999)Exploring Interestingness Through Clustering: A Framework.. ICDM, page 677-680. IEEE Computer Society, (2002)On Incorporating Subjective Interestingness Into the Mining Process.. ICDM, page 681-684. IEEE Computer Society, (2002)Interestingness PreProcessing.. ICDM, page 489-496. IEEE Computer Society, (2001)