FUBMI-WB : Seminar: Data Visualization and Mining W16/17 : Presentations

Syllabus

Syllabus

24/11/2016: Jan Gassowski - Identifying Methods of Visualizing Music Collections (40 min)

[1] A. Soriano, F. Paulovich, L.G. Nonato, M.C.F Oliveira, Visualization of music collections based on structural content similarity, 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images, pages 25-32, IEEE, 2014

[2] E. Pampalk, S. Dixon, G. Widmer, Exploring music collections by browsing different views, Computer Music Journal, vol. 28, no. 2, pages 49-62, MIT Press, 2004

[3] E. Pampalk, A. Rauber, D. Merkl, Content-based organization and visualization of music archives, Proceedings of the tenth ACM international conference on Multimedia, pages 570-579, ACM, 2002

[4] C. Muelder, T. Provan, K.-L. Ma, Content based graph visualization of audio data for music library navigation, Multimedia (ISM), 2010 IEEE International Symposium on, pages 129-136, IEEE, 2010

[5] A.S. Lillie, MusicBox: Navigating the space of your music, Massachusetts Institute of Technology, 2008

01/12/2016: Daniela Schmitt - Data Mining Approaches for Spatio-Temporal Pattern Discovery (in Crime Data) (40 min)

[1] K. Leong, A. Sung, A review of spatio-temporal pattern analysis approaches on crime analysis, International E-Journal of Criminal Sciences, no. 9, pages 1-33, 2015

[2] C.-H. Yu, W. Ding, M. Morabito, P. Chen, Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling, IEEE Transaction on Knowledge and Data Engineering, vol. 28, no. 4, pages, 979-993, 2016

[3] P. Mohan, S. Shekhar, J. A. Shine, J. P. Rogers, Cascading spatio-temporal pattern discovery: A summary of results, IEEE Transaction on Knowledge and Data Engineering, vol. 24, no. 11, pages 1977-1992, 2011

[4] Md. R. Parvez, T. Mosharraf, M. E. Ali, A Novel Approach to Identify Spatio-Temporal Crime Pattern in Dhaka City, Proceedings of the Eighth International Conference on Information and Communication Technologies and Development, ICTD 16, pages 41:4 - 41:4, 2016

08/12/2016: Ulrike Wachsmuth - Visualization Techniques for Clusters in Categorical Sequence Data (40 min)

[1] A. E. Fasang, T. F. Liao, Visualizing sequences in the social sciences: Relative frequency sequence plots, Sociological Methods & Research, vol. 43, no. 4, pages 643-676, 2014

[2] T. Pham, R. Metoyer, K. Bezrukova, C. Spell, Visualization of cluster structure and separation in multivariate mixed data: A case study of diversity faultlines in work teams, Computers & Graphics, vol. 38, pages 117-130, 2014

[3] A. Gabadinho, G. Ritschard, N. S. Mueller, M. Studer, Analyzing and visualizing state sequences in r with TraMineR, Journal of Statistical Software, vol. 40, no. 4, pages 1-37, 2011

[4] A. Aassve, F. C. Billari, R. Piccarreta, Strings of adulthood: A sequence analysis of young british women's work-family trajectories, European Journal of Population/Revue européenne de Démographie, vol. 23, no. 3-4, pages 369-388, 2007

15/12/2016: Mario Peplinski - An Overview of Current Approaches on Modelling Semantic Relations for Text Mining Scenarios (40 min)

[1] J. Camacho-Collados, I. Iacobacci, R. Navigli, M.T. Pilehvar, Semantic representations of word senses and concepts, CoRR, abs/1608.00841, 2016

[2] S. Feng, S. Ravi, R. Kumar, P. Kuznetsova, W. Liu, A.C. Berg, T.L. Berg, Y. Choi, Refer-to-as relations as semantic knowledge, In AAAI. '15, pp. 2160–2166, 2015

05/01/2017: Paul Wodz - Visual Data Mining (40 min)

[1] D. Keim, G. Andrienko, J.-D. Fekete, C. Görg, J. Kohlhammer, G. Melancon, Visual analytics: Definition, process, and challenges, Information visualization - human-centered issues and perspectives, vol. 4950, pages 154-175, Springer, 2008

[2] Y. Wu, S. Liu, K. Yan, M. Liu, F. Wu, Opinionflow: Visual analysis of opinion diffusion on social media, IEEE transactions on visualization and computer graphics, vol. 20, num. 12, pages 1763-1772, IEEE, 2014

[3] H. Ltifi, E. Benmohamed, C. Kolski, M. B. Ayed, Enhanced visual data mining process for dynamic decision-making, Knowledge-Based Systems, vol. 112, pages 166-181, Elsevier, 2016

[4] G.-D. Sun, Y.-C. Wu, R.-H. Liang, S.-X. Liu, A survey of visual analytics techniques and applications: State-of-the-art research and future challenges, Journal of Computer Science and Technology, vol. 28, num. 5, pages 852-867, Springer 2013

12/01/2017: Reem Aljaamil Alrashid - Data Mining for Fraud Detection (40 min)

[1] E.W.T. Ngai, Y. Hu, Y.H. Wong, Y. Chen, X. Sun, The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature, Decision Support Systems, vol. 50, num. 3, pages 559 - 569, 2011

[2] C. Phua, V.C.S. Lee, K. Smith{-}Miles, R. W. Gayler, A Comprehensive Survey of Data Mining-based Fraud Detection Research, CoRR, abs/1009.6119, 2010.

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02/02/2017: Jan Gassowski - Identifying Methods of Visualizing Music Collections (20 min)