Analysing the history of autism spectrum disorder using topic models

Proceedings - 3rd IEEE International Conference on Data Science and Advanced Analytics, DSAA 2016

Volumn , Issue , 2016, Pages 762-771

  Beykikhoshk, Adham ^a   Phung, Dinh ^a   Arandjelovic, Ognjen ^b   Venkatesh, Svetha ^a  

^a DEAKIN UNIVERSITY   (Australia)

^b UNIVERSITY OF ST ANDREWS   (United Kingdom)

Author keywords

Autism spectrum disorder; Bayesian nonparametrics; Data mining

Indexed keywords

BAYESIAN NETWORKS; DATA ACQUISITION; DISEASES;

AUTISM SPECTRUM DISORDERS; BAYESIAN NONPARAMETRICS; DATA COLLECTION; LITERATURE DATA; MEDICAL LITERATURES; NON-PARAMETRIC BAYESIAN; SCIENTIFIC DIRECTION; TOPICAL STRUCTURE;

DATA MINING;

EID: 85011290105     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSAA.2016.65     Document Type: Conference Paper

References (24)

1. A. Ahmed and E. P. Xing, "Dynamic non-parametric mixture models and the recurrent chinese restaurant process: with applications to evolutionary clustering." in SDM. SIAM, 2008, pp. 219-230.
2. A. Ahmed and E. P. Xing, "Timeline: A dynamic hierarchical dirichlet process model for recovering birth/death and evolution of topics in text stream, " in UAI, 2010, pp. 20-29.
3. A. Beykikhoshk, O. Arandjelovíc, D. Phung, and S. Venkatesh, "Overcoming data scarcity of twitter: using tweets as bootstrap with application to autism-related topic content analysis, " in ASONAM. IEEE, 2015, pp. 1354-1361.
4. A. Beykikhoshk, O. Arandjelovíc, D. Phung, S. Venkatesh, and T. Caelli, "Data-mining twitter and the autism spectrum disorder: A pilot study, " in Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on. IEEE, 2014, pp. 349-356.
5. A. Beykikhoshk, O. Arandjelovíc, D. Phung, S. Venkatesh, and T. Caelli, "Using twitter to learn about the autism community, " Social Network Analysis and Mining, vol. 5, no. 1, pp. 1-17, 2015.
6. A. Beykikhoshk, O. Arandjelovíc, S. Venkatesh, and D. Phung, "Hierarchical dirichlet process for tracking complex topical structure evolution and its application to autism research literature, " in PAKDD. Springer, 2015, pp. 550-562.
7. D. Blackwell and J. B. MacQueen, "Ferguson distributions via pólya urn schemes, " The annals of statistics, pp. 353-355, 1973.
8. D. M. Blei and J. D. Lafferty, "Dynamic topic models, " in ICML. ACM, 2006, pp. 113-120.
9. A. Dubey, A. Hefny, S. Williamson, and E. P. Xing, "A nonparametric mixture model for topic modeling over time." in SDM. SIAM, 2013, pp. 530-538.
10. T. S. Ferguson, "A Bayesian analysis of some nonparametric problems, " The annals of statistics, pp. 209-230, 1973.
11. D. Hall, D. Jurafsky, and C. D. Manning, "Studying the history of ideas using topic models, " in EMNLP. Association for Computational Linguistics, 2008, pp. 363-371.
12. L. Kanner, "Irrelevant and metaphorical language in early infantile autism, " American journal of Psychiatry, vol. 103, no. 2, pp. 242-246, 1946.
13. J. H. Lau, N. Collier, and T. Baldwin, "On-line trend analysis with topic models: # twitter trends detection topic model online." in COLING, 2012, pp. 1519-1534.
14. D. Mimno, "Computational historiography: Data mining in a century of classics journals, " JOCCH, vol. 5, no. 1, p. 3, 2012.
15. U. C. Priva and J. L. Austerweil, "Analyzing the history of cognition using topic models, " Cognition, vol. 135, pp. 4-9, 2015.
16. L. Ren, D. B. Dunson, and L. Carin, "The dynamic hierarchical dirichlet process, " in ICML. ACM, 2008, pp. 824-831.
17. J. Sethuraman, "A constructive definition of dirichlet priors, " DTIC Document, Tech. Rep., 1991.
18. H. Taniai, T. Nishiyama, T. Miyachi, M. Imaeda, and S. Sumi, "Genetic influences on the broad spectrum of autism: Study of probandascertained twins, " American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, vol. 147, no. 6, pp. 844-849, 2008.
19. Y. W. Teh, M. I. Jordan, M. J. Beal, and D. M. Blei, "Hierarchical dirichlet processes, " Journal of the american statistical association, vol. 101, no. 476, 2006.
20. P. Vellanki, T. Duong, S. Venkatesh, and D. Phung, "Nonparametric discovery of learning patterns and autism subgroups from therapeutic data, " in ICPR. IEEE, 2014, pp. 1828-1833.
21. A. J. Wakefield, S. H. Murch, A. Anthony, J. Linnell, D. Casson, M. Malik, M. Berelowitz, A. P. Dhillon, M. A. Thomson, P. Harvey et al., "Retracted: Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children, " The Lancet, vol. 351, no. 9103, pp. 637-641, 1998.
22. C. Wang, D. Blei, and D. Heckerman, "Continuous time dynamic topic models, " arXiv preprint arXiv:1206.3298, 2012.
23. X. Wang and A. McCallum, "Topics over time: A non-markov continuous-Time model of topical trends, " in SIGKDD. ACM, 2006, pp. 424-433.
24. J. Zhang, Y. Song, C. Zhang, and S. Liu, "Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora, " in SIGKDD. ACM, 2010, pp. 1079-1088.