What Is Interesting: Studies on Interestingness in Knowledge Discovery
Beverly Sackler · 2003
Your unconditional love and support has given me the strength to be who I am. I now understand and appreciate what you have given me. Thank you. Acknowledgments The author wishes to extend special thanks to her dissertation advisor, Professor Yishay Mansour, for his help, his support and his patience throughout this work. His guidance in making decisions, both big and small, and the freedom to find her own path were instrumental in getting her to where she Knowledge Discovery in Databases (KDD) was defined by [FPSS96a] as “[...] the non-trivial process of identifying valid, novel, potentially useful and ultimately understandable patterns in data. ” As the size of databases increases, the number of patterns mined from them also increases. This number can easily increase to an extent that overwhelms users. To address this problem, patterns need to be processed for interestingness in order to distinguish