Yukinobu Hamuro

According to our database, Yukinobu Hamuro authored at least 12 papers between 1998 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2017

Micro-clustering by data polishing.

Takeaki Uno, Hiroki Maegawa, Takanobu Nakahara, Yukinobu Hamuro, Ryo Yoshinaka, Makoto Tatsuta

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015

Micro-Clustering: Finding Small Clusters in Large Diversity.

Takeaki Uno, Hiroki Maegawa, Takanobu Nakahara, Yukinobu Hamuro, Ryo Yoshinaka, Makoto Tatsuta

CoRR, 2015

2014

Prediction Model Using Micro-clustering.

Takanobu Nakahara, Takeaki Uno, Yukinobu Hamuro

Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

2013

Detecting Topics from Twitter Posts During TV Program Viewing.

Takanobu Nakahara, Yukinobu Hamuro

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2005

The Future Direction of New Computing Environment for Exabyte Data in the Business World.

Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Kazuhiro Kishiya

Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 31 January, 2005

2003

Business Application for Sales Transaction Data by Using Genome Analysis Technology.

Naoki Katoh, Katsutoshi Yada, Yukinobu Hamuro

Proceedings of the Discovery Science, 6th International Conference, 2003

Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI.

Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Takashi Washio, Issey Fusamoto, Daisuke Fujishima, Takaya Ikeda

Proceedings of the Active Mining, Second International Workshop, 2003

2002

A Machine Learning Algorithm for Analyzing String Patterns Helps to Discover Simple and Interpretable Business Rules from Purchase History.

Yukinobu Hamuro, Hideki Kawata, Naoki Katoh, Katsutoshi Yada

Proceedings of the Progress in Discovery Science, 2002

2000

Discovering Interpretable Rules that Explain Customers' Brand Choice Behavior.

Yukinobu Hamuro, Naoki Katoh, Katsutoshi Yada

Proceedings of the Discovery Science, 2000

1999

Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming.

Katsuki Fujisawa, Yukinobu Hamuro, Naoki Katoh, Takeshi Tokuyama, Katsutoshi Yada

Proceedings of the Discovery Science, 1999

1998

Mining Pharmacy Data Helps to Make Profits.

Yukinobu Hamuro, Naoki Katoh, Yasuyuki Matsuda, Katsutoshi Yada

Data Min. Knowl. Discov., 1998

Data Mining Oriented System for Business Applications.

Yukinobu Hamuro, Naoki Katoh, Katsutoshi Yada

Proceedings of the Discovery Science, 1998