Einoshin Suzuki, Hiroshi Hirai, Shigeru Takano: "Toward a Novel
Design of Swarm Robots Based on the Dynamic Bayesian Network",
Advances in Data Management". Springer Studies in Computational
Intelligence, Vol. 223, pp. 299-310, Zbigniew W. Ras and Agnieszka
Dardzinska (eds.), Springer-Verlag, November 2009.
Einoshin Suzuki: "Negative Encoding Length as a Subjective
Interestingness Measure for Groups of Rules", Advances in Knowledge
Discovery and Data Mining (PAKDD), LNAI 5476, Springer-Verlag, pp. 220-231, April 2009, Bangkok.
Einoshin Suzuki: "Discovering Action Rules that are Highly Achievable from Massive Data", Advances in Knowledge Discovery and Data Mining (PAKDD), LNAI 5476, Springer-Verlag, pp. 713-722, April 2009, Bangkok.
Shin Ando, Einoshin Suzuki: Detection of Unique Temporal Segment by
Information Theoretic Meta-clustering, Proc. 15th ACM SIGKDD
Conference on Knowledge Discovery and Data Mining (KDD), pp. 59-68,
June 2009, Paris.
Einoshin Suzuki, Shigeru Takano, Hiroshi Hirai: Toward Using Symbolic Discovery in Designing Controllers of
Autonomous Swarm Robots, Proc. First International Workshop on LEarning
and data Mining for Robotics (LEMIR), pp. 1-10, September 2009, Bled, Slovenia.
Daisuke Ikeda, Einoshin Suzuki: Mining Peculiar Compositions of
Frequent Substrings from Sparse Text Data using Background Texts,
Machine Learning and Knowledge Discovery in Databases (ECML/PKDD),
Vol. 1, pp. 596-611, September 2009, Bled, Slovenia.
JianBin Wang, Bin-Hui Chou, Einoshin Suzuki: Finding the k-Most Abnormal Subgraphs from a Single Graph,
Discovery Science, Lecture Notes in Artificial Intelligence 5808 (DS), Springer-Verlag, pp. 441-448,
October 2009, Porto, Portugal.
Einoshin Suzuki and Michèle Sebag (eds.): Proc. First International Workshop on LEarning
and data Mining for Robotics (LEMIR), September 2009, Bled, Slovenia.
Einoshin Suzuki and Michèle Sebag (eds.): Preface, Proc. First International Workshop on LEarning
and data Mining for Robotics (LEMIR), p. ii, September 2009, Bled, Slovenia.
Chair: Michele Sebag, Panelists: Jose L. Balcázar, Kristian Kersting, Jan Peters, Einoshin Suzuki: Challenges of Machine Learning-based Autonomous
Robotics, Proc. First International Workshop on LEarning
and data Mining for Robotics (LEMIR), September 2009, Bled, Slovenia (panel discussion).
Einoshin Suzuki: "Information Compression as a Basis of Knowledge Discovery", The Third Japanese-French Symposium on Frontiers of Science (JFFoS), January 2009, Zushi, Japan (closed workshop).
Einoshin Suzuki: "Interestingness Measures - Limits, Desiderata, and Recent Results -", Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models Workshop (QIMIE'09), pp. 1-3, in conjunction with The 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), April 2009, Bangkok (keynote talk).
Einoshin Suzuki: "Compression-based Measures for Mining Interesting
Rules", Next-Generatation Applied Intelligence (IEA/AIE), LNAI
5579, pp. 741-746, Springer-Verlag, Tainan, Taiwan, 2009 (invited talk at a special session).
Einoshin Suzuki: "Descubriendo Reglas de Excepción Estructuradas", Teoría y aplicaciones del Análisis Estadístico Implicativo: Primera
Aproximación en Lengua Hispana, Pilar Orús, Larisa Zamora,
Pablo Gregori (eds.), pp. 103-126, 2009 (translation into Spanish).
Régis Gras, Einoshin Suzuki, and Pascale Kuntz: " Reglas y
R-regla de Excepción en Análisis Estadístico Implicativo", Teoría y aplicaciones del Análisis Estadístico Implicativo: Primera
Aproximación en Lengua Hispana, Pilar Orús, Larisa Zamora,
Pablo Gregori (eds.), pp. 127-142, 2009 (translation into Spanish).
Hiroshi Hirai, Shigeru Takano, Einoshin Suzuki: Simulating Swarm
Robots for a Collision Avoidance Problem based on a Dynamic
Bayesian Network, presented at the Tenth European Conference on
Artificial Life (ECAL), October 2009, Budapest (accepted for
publication, proceedings were not available at the conference, then the
organizers changed the policy ...).
