Items where Subject is "46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460502 Data mining and knowledge discovery"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0 [feed] RSS 2.0
Group by: Creators | Item Type
Jump to: B | C | J | L | M | P | R | S | W | Z
Number of items at this level: 33.

B

Bermingham, Luke, and Lee, Ickjai (2020) Mining distinct and contiguous sequential patterns from large vehicle trajectories. Knowledge Based Systems, 189. 105076.

Bermingham, Luke, and Lee, Ickjai (2019) Mining place-matching patterns from spatio-temporal trajectories using complex real-world places. Expert Systems with Applications, 122. pp. 334-350.

Bermingham, Luke, and Lee, Ickjai (2018) A probabilistic stop and move classifier for noisy GPS trajectories. Data Mining and Knowledge Discovery, 32 (6). pp. 1634-1662.

Bermingham, Luke, and Lee, Ickjai (2017) A framework of spatio-temporal trajectory simplification methods. International Journal of Geographic Information Science, 31 (6). pp. 1128-1153.

C

Cai, Guochen, Lee, Kyungmi, and Lee, Ickjai (2018) Itinerary recommender system with semantic trajectory pattern mining from geo-tagged photos. Expert Systems with Applications, 94. pp. 32-40.

Cai, Guochen, Lee, Kyungmi, and Lee, Ickjai (2018) Mining mobility patterns from geotagged photos through semantic trajectory clustering. Cybernetics and Systems, 49 (4). pp. 234-256.

Cai, Guochen, Lee, Kyungmi, and Lee, Ickjai (2018) Mining semantic trajectory patterns from geo-tagged data. Journal of computer science and technology, 33 (4). pp. 849-862.

Cai, Guochen, Lee, Kyungmi, and Lee, Ickjai (2016) A framework for mining semantic-level tourist movement behaviours from geo-tagged photos. In: Lecture Notes in Computer Science (9992) pp. 519-524. From: AI 2016: 29th Australasian Joint Conference on Artificial Intelligence, 5-8 December 2016, Hobart, TAS, Australia.

Cai, Guochen, Lee, Kyungmi, and Lee, Ickjai (2016) Mining semantic sequential patterns from geo-tagged photos. In: Proceedings of the 49th Hawaii International Conference on System Sciences. 1379. pp. 2187-2196. From: HICSS 2016: 49th Hawaii International Conference on System Sciences, 5-8 January 2016, Koloa, HI, USA.

Cai, Guochen, Lee, Kyungmi, and Lee, Ickjai (2016) Discovering common semantic trajectories from geo-tagged social media. In: Lecture Notes in Artificial Intelligence (9799) pp. 320-332. From: IEA/AIE 2016: 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2-4 August 2016, Morioka, Japan.

J

Jahanbakht, Mohammad, Xiang, Wei, Hanzo, Lajos, and Rahimi Azghadi, Mostafa (2021) Internet of underwater things and big marine data analytics — a comprehensive survey. IEEE Communications Surveys & Tutorials, 23 (2). pp. 904-956.

L

Liu, Sisi, and Lee, Ickjai (2021) Sequence encoding incorporated CNN model for Email document sentiment classification. Applied Soft Computing, 102. 107104.

Lee, Ickjai, and Yang, Jianhua (2020) Common clustering algorithms. In: Browen, Steven, Tauler, Roma, and Walczak, Beata, (eds.) Comprehensive Chemometrics. Elsevier, pp. 531-564.

Liu, Sisi, Lee, Kyungmi, and Lee, Ickjai (2020) Document-level multi-topic sentiment classification of email data with BiLSTM and data augmentation. Knowledge Based Systems, 197. 105918.

Liu, Sisi, and Lee, Ickjai (2018) Discovering sentiment sequence within email data through trajectory representation. Expert Systems with Applications, 99. pp. 1-11.

Liu, Sisi, and Lee, Ickjai (2018) Email sSentiment analysis through k-Means labeling and support vector machine classification. Cybernetics and Systems, 49 (3). pp. 181-199.

Liu, Sisi, and Lee, Ickjai (2018) Sentiment classification with medical word embeddings and sequence representation for drug reviews. In: Lecture Notes in Computer Science (11148) pp. 75-86. From: HIS 2018: 7th International Conference on Health Information Science, 5-7 October 2018, Cairns, QLD, Australia.

Liu, Sisi, Cai, Guochen, and Lee, Ickjai (2016) Sentiment clustering with topic and temporal information from large email dataset. In: 29th Pacific Asia Conference on Language, Information and Computation. Y16-3007. pp. 363-371. From: PACLIC 30: 30th Pacific Asia Conference on Language, Information and Computation, 28-30 October 2016, Seoul, South Korea.

M

Mustafa, Akram, and Rahimi Azghadi, Mostafa (2021) Automated machine learning for healthcare and clinical notes analysis. Computers, 10 (2). 24.

Madanayake, Adikarige, Sankupellay, Mangalam, and Lee, Ickjai (2020) Profiling the natural environment using acoustics: long-term environment monitoring through cluster structure. In: Proceedings of the 3rd International Conference on Software Engineering and Information Management. pp. 74-78. From: ICSIM'20: 3rd International Conference on Software Engineering and Information Management, 12-15 January 2020, Sydney, NSW, Australia.

P

Purnendu, Mandal, Vong, John, and Song, Insu (2016) Indonesian retail market analysis using frequent pattern data mining. In: Purnendu, Mandal, and Vong, John, (eds.) Smart Technologies for Smart Nations: perspectives from the Asia-Pacific region. Managing the Asian Century . Springer, Singapore, pp. 45-55.

R

Rana, Priyanka, Song, Insu, Mandal, Purnendu, and Vong, John (2017) New patent market analysis technology for ASEAN entrepreneurs. In: Mandal, Purnendu, and Vong, John, (eds.) Entrepreneurship in Technology for ASEAN. Managing the Asian Century . Springer, Singapore, pp. 33-41.

S

Song, Insu, Hayes, Dominic, Mandal, Purnendu, and Vong, John (2017) Global health surveillance approaches. In: Mandal, Purnendu, and Vong, John, (eds.) Entrepreneurship in Technology for ASEAN. Managing the Asian Century . Springer, Singapore, pp. 59-71.

Song, Insu, Anselme, Bryan, Mandal, Purnendu, and Vong, John (2017) Modern approaches of financial-data analysis. In: Mandal, Purnendu, and Vong, John, (eds.) Entrepreneurship in Technology for ASEAN. Managing the Asian Century . Springer, pp. 1-14.

W

Wang, Ye, Lee, Kyungmi, and Lee, Ickjai (2020) Visual analytical tools for multivariate higher order information for emergency management. Journal of Visualization, 23. pp. 721-743.

Wang, Junling, Sankupellay, Mangalam, Konovalov, Dmitry, Towsey, Michael, and Roe, Paul (2019) Social network analysis of an acoustic environment: the use of visualised data to characterise natural habitats. In: Proceedings of the International Conference on Digital Image Computing. pp. 366-372. From: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia.

Wang, Ye, Lee, Kyungmi, and Lee, Ickjai (2018) DNA-chart visual tool for topological higher order information from spatio-temporal trajectory dataset. Expert Systems with Applications, 108. pp. 28-35.

Wang, Ye, Lee, Kyungmi, and Lee, Ickjai (2016) Visual analytical tool for higher order k-means clustering for trajectory data mining. In: Lecture Notes in Computer Science (9992) pp. 507-518. From: AI 2016: 29th Australasian Joint Conference on Artificial Intelligence, 5-8 December 2016, Hobart, TAS, Australia.

Wang, Ye, Lee, Kyungmi, and Lee, Ickjai (2016) Multivariate higher order information for emergency management based on tourism trajectory datasets. In: Lecture Notes in Artificial Intelligence (9799) pp. 725-736. From: IEA/AIE 2016: 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2-4 August 2016, Morioka, Japan.

Z

Zhang, Dongzhi, Lee, Kyungmi, and Lee, Ickjai (2019) Mining hierarchical semantic periodic patterns from GPS-collected spatio-temporal trajectories. Expert Systems with Applications, 122. pp. 85-101.

Zhang, Dongzhi, Lee, Kyungmi, and Lee, Ickjai (2019) Semantic periodic pattern mining from spatio-temporal trajectories. Information Sciences, 502. pp. 164-189.

Zhang, Dongzhi, Lee, Kyungmi, and Lee, Ickjai (2018) Hierarchical trajectory clustering for spatio-temporal periodic pattern mining. Expert Systems with Applications, 92. pp. 1-11.

Zhang, Dongzhi, Lee, Kyungmi, and Lee, Ickjai (2018) Mining medical periodic patterns from spatio-temporal trajectories. In: Lecture Notes in Computer Science (11148) pp. 123-133. From: HIS 2018: 7th International Conference on Health Information Science, 5-7 October 2018, Cairns, QLD, Australia.

This list was generated on Fri Dec 3 22:45:37 2021 AEST.