In the data mining seminar, we have talks about various data mining related topics, including data analysis, algorithms, and scalable platforms. Especially, our main theme is 'large-scale' data mining. The seminar information is as follows.
The seminar schedule is announced every Friday right before the next Tuesday seminar via email. So if you are interested in our seminar, please feel free to email us to be registered in the seminar mailing list. The contact information for anything related to the seminar is as follows.
During the seminar, free pizza is provided to participants.
|Feb 13, 2018||Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding||Hyungsik Jeon|
|Jan 23, 2018||SPARTan: Scalable PARAFAC2 for Large & Sparse Data||Jun-gi Jang|
|Jan 16, 2018||Anomaly Detection with Robust Deep Autoencoders||Minsoo Jung|
|Jan 9, 2018||Scalable Top-n Local Outlier Detection||Yang Bai|
|Dec 20, 2017 5:00 pm||Pixel Recurrent Neural Networks||Youngjin Kim|
|Dec 6, 2017||A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems||Haekyu Park|
|Nov 29, 2017||Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking||Seulki Park|
|Nov 15, 2017||Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks||Jaemin Yoo|
|Nov 8, 2017||Translating Embeddings for Modeling Multi-relational Data||Jinhong Jung|
|Nov 1, 2017||Training Compressed Fully-Connected Networks with a Density-Diversity Penalty||Beunguk Ahn|
|Oct 18, 2017||Federated Tensor Factorization for Computational Phenotyping||Dongjin Choi|
|Sep 27, 2017||Local Higher-Order Graph Clustering||Woojeong Jin|
|Sep 20, 2017||Beyond Streams and Graphs: Dynamic Tensor Analysis||Jungwoo Lee|
|Sep 12, 2017||Collaborative Variational Autoencoder for Recommender Systems||Junghwan Kim|
|Sep 5, 2017||Sum-Product Networks: A New Deep Architecture||Jaemin Yoo|
|Aug 29, 2017||The shortest path is not always a straight line: Leveraging semi-metricity in graph analysis||Chiwan Park|
|Aug 22, 2017||A Contextual Tensor-Based Approach for Personalized Expert Recommendation||Sejoon Oh|
|Aug 1, 2017||Neural Network Matrix Factorization||Ji-eun Lee|
|Jul 18, 2017||Question Answering with Subgraph Embeddings||Minji Yoon|
|Jul 11, 2017||Linearized and Single-Pass Belief Propagation||Saehan Jo|
|Jul 4, 2017||Music Emotion Recognition via End-to-End Multimodal Neural Networks||Byungsoo Jeon|