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Overview Advanced AI

Overview Advanced AI. 1994 “AI” Turing Award Lectures AI and the Web Traditional Clustering Graph & Sequence Mining Shape-based Image Retrieval Spatial and Spatio-Temporal Data Mining Reinforcement Learning and Learning to Learn.

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Overview Advanced AI

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  1. Overview Advanced AI 1994 “AI” Turing Award Lectures AI and the Web Traditional Clustering Graph & Sequence Mining Shape-based Image Retrieval Spatial and Spatio-Temporal Data Mining Reinforcement Learning and Learning to Learn Hyla-Tree Frog

  2. Paper Reading List COSC 7363 • AI through 1995: Edward Feigenbaum’s and Raj Reddys 1994 Turing Award Lectures in CACM, May 1996.. • Page & Brin (Google Publication), The PageRank Citation Ranking: Bringing Order to the Web, 1998; walkthrough paper; perhaps this is a better source of the work: Page & Brin (Google Publication), The Anatomy of a Large-Scale Hypertextual Web Search Engine,1999. • CV of Sergey Brin & potcast of 2005 Interview with Sergey Brin (http://www.itconversations.com/shows/detail795.html) • Hanghang Tong, Christos Faloutsos, and Jia-Yu Pan, Fast Random Walk with Restart and Its Applications, Proc. ICDM Conference, Hong Kong, China, Dec. 2006; won best research paper award; 2 student-supervised walkthrough • Langville & Meyer, Deeper Inside Page Rank, Internet Mathematics, Vol. 1, No. 3, 335-380, 2004; potential student presentation paper • 3 page IEEE Survey Paper on Search Engines • Original DBSCAN Paper; 2-student-supervised walkthrough • Rousseaux Original Silhouette Paper; • A. Smith, The Task of the Referee, IEEE Computer, Vol. 23, No. 4, April 1990

  3. Paper Reading List COSC 7363 • Cyrus Shahabi, Maytham Safar, An experimental study of alternative shape-based image retrieval techniques, Multimedia Tools and Applications, Springer Netherlands, November 2006. • S. Shekhar, P. Zhang, Y. Huang, R. Vatsavai, Trends in Spatial Data Mining, Chapter3 ofData Mining: Next Generation Challenges and Future Directions, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha(eds.), AAAI/MIT Press, 2003. • CHAMELEON and CLUTO (http://glaros.dtc.umn.edu/gkhome/cluto/cluto/overview) • Co-location Mining with Rare Spatial Featuresby Yan Huang, Jian Pei, and Hui Xiong published in Journal of GeoInformatica, vol. 10, issue 3,2006. • Mirco Nanni, Dino Pedreschi.Time-focused density-based clustering of trajectories of moving objects.in Journal of Intelligent Information Systems (JIIS), 27(3):267-289, 2006. • H. Cao, N. Mamoulis, and D. W. Cheung,  "Discovery of Periodic Patterns in Spatiotemporal Sequences," IEEE Transactions on Knowledge and Data Engineering (TKDE), to appear. • Reinforcement Learning: A Survey byKaelbling, L. P. and Littman, M. L. in JAIR, 1996 (http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume4/kaelbling96a-html/rl-survey.html ) • Daniel Saunders, Paul Thagard, Creativity in Computer Science, In J. C. Kaufman & J. Baer (Eds.), Creativity across domains: Faces of the muse. Mahwah, NJ: Lawrence Erlbaum Associates.

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