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Bo Kang
Bo Kang
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Title
Cited by
Cited by
Year
One click mining: Interactive local pattern discovery through implicit preference and performance learning
M Boley, M Mampaey, B Kang, P Tokmakov, S Wrobel
Proceedings of the ACM SIGKDD workshop on interactive data exploration and …, 2013
732013
Conditional network embeddings
B Kang, J Lijffijt, T De Bie
International Conference on Learning Representations (ICLR), 2019
412019
Subjectively interesting subgroup discovery on real-valued targets
J Lijffijt, B Kang, W Duivesteijn, K Puolamaki, E Oikarinen, T De Bie
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1352-1355, 2018
182018
Pn-rminer: a generic framework for mining interesting structured relational patterns
J Lijffijt, E Spyropoulou, B Kang, T De Bie
International Journal of Data Science and Analytics 1 (1), 61-76, 2016
172016
Interactive visual data exploration with subjective feedback: an information-theoretic approach
K Puolamäki, E Oikarinen, B Kang, J Lijffijt, T De Bie
Data Mining and Knowledge Discovery 34 (1), 21-49, 2020
162020
Explaine: An approach for explaining network embedding-based link predictions
B Kang, J Lijffijt, T De Bie
arXiv preprint arXiv:1904.12694, 2019
152019
Interactive visual data exploration with subjective feedback
K Puolamäki, B Kang, J Lijffijt, T De Bie
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
152016
Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations
B Kang, J Lijffijt, R Santos-Rodríguez, T De Bie
The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2016
152016
Informative data projections: a framework and two examples
T De Bie, J Lijffijt, R Santos-Rodriguez, B Kang
arXiv preprint arXiv:1511.08762, 2015
122015
A tool for subjective and interactive visual data exploration
B Kang, K Puolamäki, J Lijffijt, T De Bie
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
102016
SICA: subjectively interesting component analysis
B Kang, J Lijffijt, R Santos-Rodríguez, T De Bie
Data Mining and Knowledge Discovery 32 (4), 949-987, 2018
92018
Conditional t-SNE: more informative t-SNE embeddings
B Kang, D García García, J Lijffijt, R Santos-Rodríguez, T De Bie
Machine Learning 110 (10), 2905-2940, 2021
72021
Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach∗
J Deng, B Kang, J Lijffijt, T De Bie
Proceedings of the 2020 SIAM International Conference on Data Mining, 586-594, 2020
52020
ALPINE: active link prediction using network embedding
X Chen, B Kang, J Lijffijt, T De Bie
Applied Sciences 11 (11), 5043, 2021
42021
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information
B Kang, DG García, J Lijffijt, R Santos-Rodríguez, T De Bie
Machine Learning, 2019
42019
Creedo—scalable and repeatable extrinsic evaluation for pattern discovery systems by online user studies
M Boley, M Krause-Traudes, B Kang, B Jacobs
KDD 2015 Workshop on Interactive Data Exploration and Analytics (IDEA’15 …, 2015
42015
Relation-guided acoustic scene classification aided with event embeddings
Y Hou, B Kang, W Van Hauwermeiren, D Botteldooren
arXiv preprint arXiv:2205.00499, 2022
32022
SIMIT: Subjectively Interesting Motifs in Time Series
J Deng, J Lijffijt, B Kang, T De Bie
Entropy 21 (6), 566, 2019
22019
A constrained randomization approach to interactive visual data exploration with subjective feedback
B Kang, K Puolamäki, J Lijffijt, T De Bie
IEEE Transactions on Knowledge and Data Engineering 32 (9), 1666-1679, 2019
22019
SIDE: A Web App for Interactive Visual Data Exploration with Subjective Feedback
J Lijffijt, B Kang, K Puolamäki, T De Bie
ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 86-95, 2016
22016
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Articles 1–20