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.
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
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
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