Bo Kang
Bo Kang
Verified email at ugent.be - Homepage
TitleCited byYear
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
502013
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
122016
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
112016
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
102016
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
92016
Informative data projections: A framework and two examples
T De Bie, J Lijffijt, R Santos-Rodriguez, B Kang
arXiv preprint arXiv:1511.08762, 2015
82015
Interactive visual data exploration with subjective feedback: an information-theoretic approach
K Puolamäki, E Oikarinen, B Kang, J Lijffijt, T De Bie
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1208-1211, 2018
72018
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
62018
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
62018
Conditional network embeddings
B Kang, J Lijffijt, T De Bie
arXiv preprint arXiv:1805.07544, 2018
32018
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information
B Kang, DG García, J Lijffijt, R Santos-Rodríguez, T De Bie
arXiv preprint arXiv:1905.10086, 2019
22019
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
22015
Explaine: An approach for explaining network embedding-based link predictions
B Kang, J Lijffijt, T De Bie
arXiv preprint arXiv:1904.12694, 2019
12019
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, 2019
12019
SIMIT: Subjectively Interesting Motifs in Time Series
J Deng, J Lijffijt, B Kang, T De Bie
Entropy 21 (6), 566, 2019
2019
Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach
J Deng, B Kang, J Lijffijt, T De Bie
15th International Workshop on Mining and Learning with Graphs, 2019
2019
CLIPPR: Maximally Informative CLIPped PRojections with Bounding Regions
B Kang, D Cashman, R Chang, J Lijffijt, T De Bie
IEEE VIS, 2018
2018
Subjectively interesting motifs in time series
J Deng, J Lijffijt, B Kang, T De Bie
3rd ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, 1-17, 2018
2018
Clipped projections for more informative visualizations [a work-in-progress report]
B Kang, J Deng, J Lijffijt, T De Bie
ACM SIGKDD 2017 Full-day Workshop on Interactive Data Exploration and …, 2017
2017
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
2016
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Articles 1–20