BUiD Library: INF 504 Data Mining and Exploration: Reading list

INF 504 Data Mining and Exploration

Department: MSc in Informatics (Knowledge and Data Management)

Module Description: Data mining is about analyzing, interpreting, visualizing and exploiting the data that is captured scientific and commercial environments. This module provides students with an opportunity to gain an in depth understanding of the theories and issues related to mining and exploring data, ranging from statistical summaries, to visualization, to classification and clustering. Practical case studies will be used for illustration.

Module texts

Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.U. (2006). Complex networks: structure and dynamics. Physics Reports. Vol. 424 (4-5), February 2006, Section 2, 4 and 6. Request item
Keogh, E. (2002a). ‘Exact indexing of dynamic time warping’, in 28th International Conference on Very Large Data Bases. Hong Kong, pp 406-417.
Keogh, E. and Kasetty, S. (2002b). ‘On the need for time series data mining benchmarks: a survey and empirical demonstration’, in The 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. July 23 - 26, 2002. Edmonton, Alberta, Canada, pp 102-111.
Lin, J., Keogh, E., Lonardi, S., Lankford, J. P. & Nystrom, D. M. (2004). ‘Visually mining and monitoring massive time series’, in Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 22-25. Seattle, WA.
Ratanamahatana, C.A. and Keogh, E. (2004). ‘Everything you know about dynamic time warping is wrong’ in the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004): Third Workshop on Mining Temporal and Sequential Data, August 22-25, Seattle, WA. Request PDF

Papers

Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.U. (2006). Complex networks: structure and dynamics. Physics Reports. Vol. 424 (4-5), February 2006, Section 2.1.1. Request item
Fawcett, T. (2004). ROC graphs: notes and practical considerations for researchers [online]. Section 1 and 2.