1 |
C. Aggarwal, Outlier Analysis, Springer, Switzerland, 2017.
|
2 |
C. Park, "Outlier and Anomaly Pattern Detection on Data Streams," The Journal of Supercomputing, Vol. 75, No. 9, pp. 6118-6128, 2019.
DOI
|
3 |
T. Kim and C. Park, "Anomaly Pattern Detection for Streaming Data," Expert Systems with Applications, Vol. 149, pp. 1-8, 2020.
|
4 |
Y. Wu, M. Schuster, Z. Chen, Q. Le, M. Norouzi, W. Macherey, et al., "Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation," arXiv Preprint arXiv:1609.08144, 2016.
|
5 |
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. Gomez, et al., "Attention is All You Need," Advances in Neural Information Processing Systems, pp. 5998-6008, 2017.
|
6 |
Word2vec(2013), https://code.google.com/archive/p/word2vec/ (accessed February 20, 2019).
|
7 |
Bert-as-service(2018), https://github.com/hanxiao/bert-as-service (accessed February 20, 2019).
|
8 |
D. Greene and P. Cunningham, "Practical Solutions to the Problem of Diagonal Dominance in Kernel Document Clustering," Proceedings of International Conference on Machine Learning, pp. 377-384, 2006.
|
9 |
S. Petrovic, M. Osborne, and V. Lavrenko, "Using Paraphrases for Improving First Story Detection in News and Twitter," Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 338-346, 2012.
|
10 |
J. Allan, R. Papka, and V. Lavrenko, "On-line New Event Detection and Tracking," Proceeding of International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 37-45, 1998.
|
11 |
J. Allan, "Introduction to Topic Detection and Tracking," In Topic Detection and Tracking: Event-based Information Organization, Vol. 12, pp. 1-16. 2002.
DOI
|
12 |
T. Mikolov, I. Sutskever, K. Chen, G. Corrado, and J. Dean, "Distributed Representations of Words and Phrases and Their Compositionality," Proceeding of International Conference on Neural Information Processing Systems, Vol. 2, pp. 3111-3119, 2013.
|
13 |
J. Devlin, M.W. Chang, K. Lee, and K. Toutanova, "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding," Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Vol. 1, pp. 4171-4186, 2019.
|
14 |
S. Choi, New Topic Occurrence Detection Using Text Embedding Model in Text Streaming Data, Master's Thesis of Chungnam National University, 2020.
|
15 |
S. Petrovi'c, M. Osborne, and V. Lavrenko, "Streaming First Story Detection with Application to Twitter," Proceeding of the 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 181-189, 2010.
|
16 |
S. Moran, R. McCreadie, C. Macdonald, and I. Ounis, "Enhancing First Story Detection Using Word Embeddings," Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 821-824, 2016.
|
17 |
C. Park and T. Kim, "Energy Theft Detection in Advanced Metering Infrastructure Based on Anomaly Pattern Detection," Energies, Vol. 13, No. 15, pp. 1-10, 2020.
|
18 |
M. Mathioudakis and N. Koudas, "Twitter Monitor: Trend Detection Over the Twitter Stream," Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data, pp. 1155-1158, 2010.
|
19 |
N. Panagiotou, C. Akkaya, K. Tsioutsiouliklis, V. Kalogeraki, and D. Gunopulos, "First Story Detection Using Entities and Relations," Proceedings of the 26th International Conference on Computational Linguistics: Technical Papers, pp. 3237-3244, 2016.
|
20 |
E. Lee and P. Kim, "A Method for Short Text Classification Using SNS Feature Information Based on Markov Logic Network," Journal of Korea Multimedia Society, Vol. 20, No. 7, pp. 1065-1072, 2017.
DOI
|
21 |
H.J. Choi and C.H. Park, "Emerging Topic Detection in Twitter Stream Based on High Utility Pattern Mining," Expert Systems with Applications, Vol. 115, pp. 27-36, 2019.
DOI
|
22 |
S. Phuvipadawat and T. Murata, "Breaking News Detection and Tracking in Twitter," Proceedings of IEEE/WIC/ACM International Conference Web Intelligence and Intelligent Agent Technology, pp. 120-123, 2010.
|
23 |
D. Quercia, H. Askham, and J. Crowcroft, "Tweetlda: Supervised Topic Classification and Link Prediction in Twitter," Proceedings of 4th Annual ACM Web Science Conference, pp. 247-250, 2012.
|
24 |
U. Erra, S. Senatore, and G. Caggianese. "Approximate TF-IDF Based on Topic Extraction from Massive Message Stream Using the GPU," Information Sciences, Vol. 292, pp. 143-161, 2015.
DOI
|
25 |
G. Salton, E.A. Fox, and H. Wu, "Extended Boolean Information Retrieval," Communications of the ACM, Vol. 26, No. 11, pp. 1022- 1036, 1983.
DOI
|
26 |
P. Bojanowski, E. Grave, A. Joulin, and T. Mikolov, "Enriching Word Vectors with Subword Information," Transactions of the Association for Computational Linguistics, Vol. 5, No. 1, pp. 135-146, 2017.
DOI
|