Program / GS-15: Data Mining Methods: Pattern & Association Discovery

GS-15: Data Mining Methods: Pattern & Association Discovery

November 03 (Tuesday) · 16:20–18:20 · Room 2

Chair: Masaya Nakata (Yokohama National University)

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16:20–16:40Paper ID: 91Full paper

A Nonnegative Tucker Decomposition Approach for Extracting Associations among Latent Response Patterns in Questionnaire Data

Keita Takeuchi (Kyoto Prefectural University)*; Masato Shinjo (Osaka Seikei University)

16:40–17:00Paper ID: 98Full paper

Subspace estimation method for functional data based on shared-covariance Gaussian processes

Hideaki Ishibashi (Kyushu Institute of Technology)*

17:00–17:20Paper ID: 113Full paper

ItemSB-LR: Itemset with Linear Regression Model as Statistically Distinctive Background

Eisuke Ooka (Gunma University)*; Kaoru Shimada (Gunma University)

17:20–17:40Paper ID: 155Full paper

Mining Time-Series Itemsets with Statistically Distinctive Backgrounds: A Case Study on Extreme Power Consumption

Yasuhiro Suzuki (Gunma University)*; Kaoru Shimada (Gunma University)

17:40–18:00Paper ID: 269Full paper

An Integrated Framework for Linkage Pattern Mining on Realistic Datasets

So Fukuhara (Kagawa University)*; Kyosuke Maeda (All Nippon Airways Co., Ltd.); Saerom Lee (Kagawa University)

Presentations finish at 18:00. The scheduled session ends at 18:20.

Full paper: 15 minutes presentation + 5 minutes Q&A. Short, abstract-only and late breaking papers: 10 minutes presentation + 5 minutes Q&A. Speakers should bring their own laptop; presentation PCs are not provided.