Refereed Conference and Journal Papers

• Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai: “ Modeling Dynamic Interactions over Tensor Streams“, International World Wide Web Conference (the ACM Web Conference, WWW), Austin, TX, April-May 2023. [PDF] [Slides]

• Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai: “ Fast and Multi-aspect Mining of Complex Time-stamped Event Streams“, International World Wide Web Conference (the ACM Web Conference, WWW), Austin, TX, April-May 2023. [PDF] [Slides]

• Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai: “ Mining Reaction and Diffusion Dynamics in Social Activities“, ACM International Conference on Information and Knowledge Management (CIKM), pp. 1521-1531, Atlanta, GA, October 2022. [PDF] [Slides]

• Tasuku Kimura, Yasuko Matsubara, Koki Kawabata, Yasushi Sakurai: “ Fast Mining and Forecasting of Co-evolving Epidemiological Data Streams“, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 3157-3167, Washington DC, August 2022. [PDF] [Slides]

• Koki Kawabata, Yasuko Matsubara, Takato Honda, Yasushi Sakurai: “ Non-Linear Mining of Social Activities in Tensor Streams“, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 2093-2102, Virtual Event, California, August 2020. [PDF] [Slides]

• Thinh Minh Do, Yasuko Matsubara, Yasushi Sakurai: “Real-time Forecasting of Non-linear Competing Online Activities”, Journal of Information Processing, Vol. 28, pp. 333-342, May 2020.

• Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai: “ Automatic Sequential Pattern Mining in Data Streams“, ACM International Conference on Information and Knowledge Management (CIKM), pp. 1733-1742, Beijing, China, November 2019. [PDF] [Slides]

• Takato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, Yasushi Sakurai: “ Multi-Aspect Mining of Complex Sensor Sequences“, IEEE International Conference on Data Mining (ICDM), pp. 299-308, Beijing, China, November 2019. [PDF] [Slides]

• Yasuko Matsubara, Yasushi Sakurai, “ Dynamic Modeling and Forecasting of Time-evolving Data Streams“, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 458-468, Anchorage, Alaska, August 4-8, 2019. [PDF] [Slides]

• Yasushi Sakurai, Yasuko Matsubara, Christos Faloutsos: “ Smart Analytics for Big Time-series Data”, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Tutorial, Halifax, Nova Scotia, Canada, August 2017. [Slides]

• Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos, “Non-linear Dynamics of Information Diffusion in Social Networks”, ACM Transactions on the Web (TWEB), Vol. 11, No. 2, pp. 11:1-11:40, May 2017.

• Thinh Minh Do, Yasuko Matsubara, Yasushi Sakurai: “Automatic and Effective Mining of Coevolving Online Activities”, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Jeju, South Korea, May 2017 (to appear).

• Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos: “Ecosystem on the Web: Non-linear Mining and Forecasting of Co-evolving Online Activities”, World Wide Web, Springer, Vol. 20, Issue 3, pp. 439-465, May 2017.

• Thinh Minh Do, Yasuko Matsubara, Yasushi Sakurai: “Non-linear Time-series Analysis of Social Influence”, Journal of Information Processing, Vol. 24, No. 6, pp. 937-945, November 2016.

• Yasuko Matsubara, Yasushi Sakurai: “ Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences”,ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 1045-1054, San Francisco, California, August 2016. [PDF] [Slides] [Code] [Demo]

• Yasushi Sakurai, Yasuko Matsubara, Christos Faloutsos: “ Mining Big Time-series Data on the Web”, International World Wide Web Conference (WWW), Tutorial, pp. 1029-1032, Montreal, Canada, April 2016. [PDF] [Slides]

• Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos: “ Non-Linear Mining of Competing Local Activities”, International World Wide Web Conference (WWW), pp. 737-747, Montreal, Canada, April 2016. [PDF] [Slides] [Code]

• Yasushi Sakurai, Yasuko Matsubara, Christos Faloutsos: “ Mining and Forecasting of Big Time-series data”, ACM SIGMOD Conference, Tutorial, pp. 919-922, Melbourne, VIC, Australia, May/June 2015. [PDF] [Slides]

• Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos: “The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities”, International World Wide Web Conference (WWW), pp. 721-731, Florence, Italy, May 2015. [PDF] [Slides] [Code]

• Yasuko Matsubara, Yasushi Sakurai, Naonori Ueda, Masatoshi Yoshikawa. “Fast and Exact Monitoring of Co-evolving Data Streams”, IEEE International Conference on Data Mining (ICDM), pp. 390-399,Shenzhen, China, December 2014. [PDF] [Slides]

• Flavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos.“Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries”, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML/PKDD), 2014.

• Yasuko Matsubara, Yasushi Sakurai, Willem G. van Panhuis, Christos Faloutsos: “FUNNEL: Automatic Mining of Spatially Coevolving Epidemics”, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD),pp. 105-114, New York City, August 2014. [PDF] [Slides] [Code]

• Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos: “AutoPlait: Automatic Mining of Co-evolving Time Sequences“, ACM SIGMOD Conference,pp. 193-204, Snowbird, Utah, June 2014. [PDF] [Slides] [Code]

• Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takayuki Suyama: “Activity Recognition with Hand-worn Magnetic Sensors“, ACM/Springer Personal and Ubiquitous Computing (ACM/Springer PUC), Vol. 17, Issue 6, pp. 1085-1094, DOI 10.1007/s00779-012-0556-8, August 2013.

• Machiko Toyoda, Yasushi Sakurai, Yoshiharu Ishikawa: “Pattern Discovery in Data Streams under the Time Warping Distance“, VLDB Journal, Vol. 22, No. 3, pp. 295-318, DOI 10.1007/s00778-012-0289-3, June 2013. [PDF] [Code]

• Yasuko Matsubara, Lei Li, Evangelos E. Papalexakis, David Lo, Yasushi Sakurai, Christos Faloutsos: “F-Trail: Finding Patterns in Taxi Trajectories. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 86-98, Gold Coast, Australia, April 2013. [PDF]

• Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa: “Fast Mining and Forecasting of Complex Time-Stamped Events“, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 271-279, Beijing, China, August 2012. [PDF] [Slides] [Code]

• Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos: “Rise and Fall Patterns of Information Diffusion: Model and Implications“, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 6-14, Beijing, China, August 2012. [PDF] [Slides] [Code]

• Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai: “Recognizing Handheld Electrical Device Usage with Hand-worn Coil of Wire“, International Conference on Pervasive Computing (PERVASIVE), pp. 234-252, Newcastle, UK, June 2012. [PDF]

• Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai: “Mimic Sensors: Battery-shaped Sensor Node for Detecting Electrical Events of Handheld Devices“, International Conference on Pervasive Computing (PERVASIVE), pp. 20-38, Newcastle, UK, June 2012. [PDF]

• Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai: “WristSense: Wrist-worn Sensor Device with Camera for Daily Activity Recognition”, IEEE International Conference on Pervasive Computing and Communications (PerCom), Lugano, Switzerland, March 2012 (Demo paper).

• Takuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, Takeshi Okadome: “Context-Aware Web Search in Ubiquitous Sensor Environment“, ACM Transactions on Internet Technology (TOIT), Vol. 11, No. 3, January 2012.

• Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda: “Sequential Modeling of Topic Dynamics with Multiple Timescales“, ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 5, No. 4, February 2012 (Invited to ACM TKDD special issue KDD’10).

• Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshikawa: “D-Search: An Efficient and Exact Search Algorithm for Large Distribution Sets“, Knowledge and Information Systems (KAIS), Springer, Vol 29, No. 1, pp. 131-157, October 2011 (Invited paper, selected best papers from ICDM 2009).

• Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai: “WPT: A Toolkit for Publishing a Web-based Lifelog”, International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT), pp. 185-199, Karlsruhe, Germany, September 2011.

• Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takayuki Suyama: “Recognizing the Use of Portable Electrical Devices with Hand-worn Magnetic Sensors“, International Conference on Pervasive Computing (PERVASIVE), pp. 276-293, San Francisco, CA, June 2011. [PDF]

• Yasushi Sakurai, Lei Li, Yasuko Matsubara, Christos Faloutsos, “WindMine: Fast and Effective Mining of Web-click Sequences“, SIAM International Conference on Data Mining (SDM), pp. 759-770, Mesa, Arizona, April 2011. [PDF]

• Yasushi Sakurai, Christos Faloutsos, Spiros Papadimitriou: “Fast Discovery of Group Lag Correlations in Streams“, ACM Transactions on Knowledge Discovery from Data (TKDD), Vol 5, Issue 1, No. 5, December 2010.

• Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda: “Online Multiscale Dynamic Topic Models“, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 663-672, Washington, DC, July 2010 (Best Research Paper Award Honorable Mention). [PDF]

• Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshikawa: “Statistical Modeling of Large Distribution Sets”, ACM SIGMOD Workshop on Innovative Database Research (IDAR), Indianapolis, Indiana, June 2010.

• Takuya Maekawa, Yutaka Yanagisawa, Yasue Kishino, Katsuhiko Ishiguro, Koji Kamei, Yasushi Sakurai, Takeshi Okadome: “Object-based Activity Recognition with Heterogeneous Sensors on Wrist“, International Conference on Pervasive Computing (PERVASIVE), pp. 246-264, Helsinki, Finland, May 2010. [PDF]

• Machiko Toyoda, Yasushi Sakurai: “Discovery of Cross-Similarity in Data Streams”, IEEE International Conference on Data Engineering (ICDE), pp. 101-104, Long Beach, California, March 2010.

• Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takeshi Okadome: “Incremental Knowledge Construction for Real-World Event Understanding”, Intl. J. of Cognitive Informatics and Natural Intelligence (IJCINI), Vol. 4, Issue 1, pp. 65-79, 2010.

• Takeshi Okadome, Yasue Kishino, Takuya Maekawa, Koji Kamei, Yutaka Yanagisawa, Yasushi Sakurai: “Event Search Engine”, Intl. J. of Cognitive Informatics and Natural Intelligence (IJCINI), Vol. 4, Issue 1, pp. 30-44, 2010.

• Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshikawa: “Scalable Algorithms for Distribution Search“, IEEE International Conference on Data Mining (ICDM), pp. 347-356, Miami, Florida, December 2009. [PDF]

• Yasuhiro Fujiwara, Yasushi Sakurai, Masaru Kitsuregawa: “Fast Likelihood Search for Hidden Markov Models“, ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 3, Issue 4, No. 18, November 2009 (Invited to ACM TKDD special issue ACM SIGKDD 2007 and ACM SIGKDD 2008).

• Takuya Maekawa, Yutaka Yanagisawa, Yasue Kishino, Koji Kamei, Yasushi Sakurai, Takeshi Okadome: “Wristband Type Sensor Device for Recognizing Activities that Involve Object Use, Proc. European Conference on Ambient Intelligence (AmI 2009), Poster paper, Salzburg, Austria, November 2009.

• Takuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, Takeshi Okadome: “Web Searching for Daily Living“, ACM International Conference on Research and Development in Information Retrieval (SIGIR), pp. 27-34, Boston, Massachusetts, July 2009. [PDF]

• Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takeshi Okadome: “Labeling-based Knowledge Construction for Real-World Event Understanding”, IEEE International Conference on Cognitive Informatics, (ICCI), pp. 116-124, Hong Kong, China, June 2009.

• Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshikawa “Efficient Similarity Search on Distribution Data”, Third SIGMOD Workshop on Innovative Database Research (IDAR 2009), Providence, RI, June 2009.

• Yasue Kishino, Yasushi Sakurai, Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Takeshi Okadome: “Hierarchical Clustering for Efficient Data Gathering in High-Density Sensor Networks”, International Conference on Pervasive Computing (PERVASIVE 2009), LBR Paper, Nara, Japan, May 2009.

• Yutaka Yanagisawa, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takeshi Okadome: “A Relative Positioning Technique with Low-Frequency Waves”, International Conference on Pervasive Computing (PERVASIVE 2009), LBR Paper, Nara, Japan, May 2009.

• Norihiro Takahashi, Tomoki Yoshihisa, Yasushi Sakurai, Masanori Kanazawa: “A Parallelized Data Stream Processing System Using Dynamic Time Warping Distance”, International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 1100-1105, 2009.

• Takuya Maekawa, Yutaka Yanagisawa, Yasue Kishino, Koji Kamei, Yasushi Sakurai, Takeshi Okadome: “Object-Blog System for Environment-Generated Content“, IEEE Pervasive Computing, Vol. 7, No. 4, pp. 20-27, October 2008.

• Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, Christos Faloutsos: “Fast Mining of Complex Time-Stamped Events“, ACM International Conference on Information and Knowledge Management (CIKM), pp. 759-768, Napa Valley, California, October 2008. [PDF]

• Yasue Kishino, Yasushi Sakurai, Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Takeshi Okadome: “Data Gathering in High-Density Wireless Sensor Networks using Hierarchical Clustering”, IEEE International Symposium on Wireless Communication Systems (ISWCS), pp. 547-551, Reykjavik, Iceland, October 2008.

• Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takeshi Okadome: “A Labeling Tool for a Sensor Networked Environment with a Real-world Knowledge Construction Model”, International Conference on Ubiquitous Computing (Ubicomp 2008 Poster), Seoul, South Korea, September 2008.

• Machiko Toyoda, Yasushi Sakurai, Toshikazu Ichikawa: “Identifying Similar Subsequences in Data Streams”, International Conference on Database and Expert Systems Applications (DEXA), pp. 210-224, Turin, Italy, September 2008.

• Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamuro: “SPIRAL: Efficient and Exact Model Identification for Hidden Markov Models“, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 247-255, Las Vegas, Nevada, August 2008 (Best Research Paper Awards). [PDF] [Slides]

• Takuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, Takeshi Okadome: “Web Page Retrieval in Ubiquitos Sensor Environment”, ACM International Conference on Research and Development in Information Retrieval (SIGIR), pp. 759-760, Singapore, July 2008.

• Takuya Maekawa, Yutaka Yanagisawa, Yasue Kishino, Koji Kamei, Yasushi Sakurai, Takeshi Okadome: “Tag and Think: Inferring what a sensor node is attached to”, International Conference on Pervasive Services (ICPS), pp. 27-36, Sorrento, Italy, July 2008.

• Yutaka Yanagisawa, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takeshi Okadome: “Estimation of Relative Position between Real Objects using Sensor Nodes”, International Conference on Pervasive Services (ICPS), pp.61-64, Sorrento, Italy, July 2008.

• Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos Faloutsos: “Efficient Distribution Mining and Classification“, SIAM International Conference on Data Mining (SDM), pp. 632-643, Atlanta, Georgia, April 2008. [PDF] [Slides]

• Takeshi Okadome, Yasue Kishino, Takuya Maekawa, Koji Kamei, Yutaka Yanagisawa, Yasushi Sakurai: “Real-time creation of web content about physical objects and events using sensor network”, Ubiquitous Computing and Communication Journal, Special Issue on Ubiquitous Sensor Networks, 2007.

• Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takeshi Okadome: “Tagging Strategies for Extracting Real-World Events with Networked Sensors”, International Workshop Tagging, Mining and Retrieval of Human-Activity Related Information, pp. 35-42, 2007.

• Yasushi Sakurai, Christos Faloutsos, Masashi Yamamuro: “Stream Monitoring under the Time Warping Distance“, IEEE International Conference on Data Engineering (ICDE), pp. 1046-1055, Istanbul, Turkey, April 2007. [PDF] [Slides] [Code]

• Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamuro: “DAPSS: Exact Subsequence Matching for Data Streams”, International Conference on Database Systems for Advanced Applications (DASFAA), pp. 80-94, Singapore, April 2006.

• Yasushi Sakurai, Spiros Papadimitriou, Christos Faloutsos: “BRAID: Stream Mining through Group Lag Correlations“, ACM SIGMOD Conference, pp. 599-610, Baltimore, Maryland, June 2005. [PDF] [Slides] [Code]

• Yasushi Sakurai, Masatoshi Yoshikawa, Christos Faloutsos: “FTW: Fast Similarity Search under the Time Warping Distance“, ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS), pp. 326-337, Baltimore, Maryland, June 2005. [PDF] [Slides] [Code]

• Yasushi Sakurai, Spiros Papadimitriou, Christos Faloutsos: “AutoLag: Automatic Discovery of Lag Correlations in Stream Data”, IEEE International Conference on Data Engineering (ICDE), pp. 159-160, Tokyo, Japan, April 2005.

• Naoko Kosugi, Yasushi Sakurai, Masashi Morimoto: “SoundCompass: A Practical Query-by-Humming System“, ACM SIGMOD Conference, pp. 881-886, Paris, France, June 2004. [PDF]

• Takeharu Eda, Yasushi Sakurai, Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura, Takashi Honishi: “Dynamic Range Labeling for XML Trees”, Current Trends in Database Technology – EDBT 2004 Workshops, pp. 230-239, LNCS 3268, Heraklion, Crete, Greece, March 2004.

• Yasushi Sakurai, Masatoshi Yoshikawa, Shunsuke Uemura, Haruhiko Kojima: “Spatial Indexing of High-Dimensional Data Based on Relative Approximation “, VLDB Journal, Vol. 11, No. 2, pp. 93-108, DOI 10.1007/s00778-002-0066-9, 2002.

• Yasushi Sakurai, Masatoshi Yoshikawa, Ryoji Kataoka, Shunsuke Uemura: “Similarity Search for Adaptive Ellipsoid Queries Using Spatial Transformation“, International Conference on Very Large Data Bases (VLDB), pp.231-240, Rome, Italy, September 2001. [PDF] [Slides]

• Yasushi Sakurai, Masatoshi Yoshikawa, Shunsuke Uemura, Haruhiko Kojima: “The Subspace Coding Method: A New Indexing Scheme for High-Dimensional Data”, ACM International Conference on Information and Knowledge Management (CIKM), pp. 210-218, Washington DC, USA, November 2000.

• Yasushi Sakurai, Masatoshi Yoshikawa, Shunsuke Uemura, Haruhiko Kojima: “The A-tree: An Index Structure for High-Dimensional Spaces Using Relative Approximation“, International Conference on Very Large Data Bases (VLDB), pp. 516-526, Cairo, Egypt, September 2000. [PDF] [Slides] [Code]

• Yasushi Sakurai, Masatoshi Yoshikawa, Shunsuke Uemura: “High-Dimensional Nearest Neighbor Search Based on Virtual Bounding Rectangles”, Int. Conf. on Foundations of Data Organization (FODO), pp. 258-267, November 1998.

---

Japanese Journals and Transactions

• 小幡 紘平, 松原 靖子, 川畑 光希, 中村 航大, 櫻井 保志: “時系列データの自動ネットワーク構造検出アルゴリズム”, 情報処理学会論文誌:データベース, Vol.16, No.1, pp. 1-13, 2023年1月.

• 藤原 廉, 松原 靖子, 木村 輔, 櫻井 保志: “制御応答時系列データストリームにおける予測アルゴリズム”, 情報処理学会論文誌:データベース, Vol.15, No.3, pp. 87-93, 2022年10月.

• 中村 航大, 松原 靖子, 川畑 光希, 梅田 裕平, 和田 裕一郎, 櫻井 保志: “複合イベントストリームのための特徴自動抽出”, 情報処理学会論文誌:データベース, Vol.14, No.4, pp. 24-35, 2021年10月.

• 川畑 光希 , 松原 靖子 , 本田 崇人 , 櫻井 保志 : “オンライン活動データストリームのための非線形モデル解析”, 情報処理学会論文誌:データベース, Vol.14, No.3, pp. 30-41, 2021年7月.

• 木村 輔 , 松原 靖子 , 川畑 光希 , 櫻井 保志 : “大規模疫病データのための将来予測アルゴリズム”, 情報処理学会論文誌:データベース, Vol.14, No.2, pp. 10-19, 2021年4月.

• 本田 崇人 , 松原 靖子 , 川畑 光希 , 櫻井 保志 : “大規模時系列テンソルによる多角的イベント予測”, 情報処理学会論文誌:データベース, Vol.13, No.1, pp. 8-19, 2020年1月.

• 川畑 光希 , 松原 靖子 , 櫻井 保志 : “自動パターン検出のためのストリームアルゴリズム”, 情報処理学会論文誌:データベース, Vol.11 No.1, pp. 1-10, 2018年4月.

• 松原靖子, 櫻井保志, Christos Faloutsos: “大規模オンライン活動データの特徴自動抽出”, 情報処理学会論文誌:データベース, Vol.10 No.3, pp. 1-15, 2017年10月.

• 松原靖子, 櫻井保志: “大規模データストリームの将来予測アルゴリズム”, 情報処理学会論文誌:データベース, Vol.9 No.4, pp. 32-45, 2016年12月.

• 松原靖子, 櫻井保志, Willem G. van Panhuis, Christos Faloutsos: “大規模疫病データのための非線形モデル解析”, 情報処理学会論文誌:データベース, Vol.9 No.4, pp. 17-31, 2016年12月.

• 本田 崇人, 松原 靖子, 根山 亮, 櫻井 保志: “車両走行センサデータからの自動パターン検出”, 情報処理学会論文誌:データベース, Vol. 9, No. 3, pp. 1-13, 2016年9月.

• 松原 靖子, 櫻井 保志, Christos Faloutsos: “大規模時系列データの特徴自動抽出”, 情報処理学会論文誌:データベース, Vol. 7, No. 2, pp. 37-50, 2014年6月.

• 松原 靖子, 櫻井 保志, Christos Faloutsos, 岩田 具治, 吉川 正俊: “大規模 Web クリックデータのためのイベント予測”, 電子情報通信学会論文誌D, Vol. J97-D, No.4, pp. 822-834, 2014年4月.

• 松原 靖子, 櫻井 保志, B. Aditya Prakash, Lei Li, Christos Faloutsos: “情報拡散過程のダイナミクス： 非線形モデルの 提案と情報予測”, 情報処理学会論文誌:データベース, Vol. 6, No. 5, pp. 11-22, 2013年12月.

• 前川 卓也, 柳沢 豊, 岸野 泰恵, 石黒 勝彦, 櫻井 保志, 亀井 剛次, 岡留 剛: “手首に装着したカメラ付きセンサデバイスを用いた行動認識手法”, 電子情報通信学会論文誌B, Vol. J95-B, No. 11, pp. 1480-1490, 2012年11月.

• 佐野 渉二, 柳沢 豊, 櫻井 保志, 岸野 泰恵, 寺田 努, 塚本 昌彦, 須山 敬之: “相関性のあるデータを集約する無線センサネット ワークにおけるシンクノード決定問題の近似解法”, 情報処理学会論文誌, Vol. 53, No. 3, pp. 1177-1188, 2012年3月.

• 松原 靖子, 櫻井 保志, 吉川 正俊: “隠れマルコフモデルに基づくストリーム処理”, 情報処理学会論文誌:データベース, Vol. 4, No. 4, pp. 48-62, 2011年12月.

• 豊田 真智子, 櫻井 保志, 小林 透, 市川 裕介: “端末操作ログからの情報漏えい検出”, 情報処理学会論文誌:データベース, Vol. 4, No. 4, pp. 63-77, 2011年12月.

• 前川 卓也, 柳沢 豊, 櫻井 保志, 岸野 泰恵, 亀井 剛次, 岡留 剛: “日常物の利用情報を用いたコンテキストサーチ”, 情報処理学会論文誌, Vol. 52, No. 12, pp. 3504-3514, 2011年12月.

• 豊田 真智子, 櫻井 保志, 石川 佳治: “部分シーケンスマッチングのためのストリームアルゴリズム”, 電子情報通信学会論文誌D, Vol. J94-D, No.7, pp. 1058-1070, 2011年7月.

• 岸野 泰恵, 櫻井 保志, 亀井 剛次, 前川 卓也, 柳沢 豊, 岡留 剛: “階層的センサネットワークのための効率的なデータ収集手法”, 情報処理学会論文誌:データベース, Vol. 3, No. 4, pp. 82-93, 2010年12月.

• 松原 靖子, 櫻井 保志, 吉川 正俊: “大量頻度分布データのための高速探索アルゴリズム”, 情報処理学会論文誌:データベース, Vol. 2, No. 3, pp. 29-40, 2009年9月.

• 柳沢 豊, 前川 卓也, 岸野 泰恵, 櫻井 保志, 亀井 剛次, 岡留 剛: “低周波振動の 伝播を利用した屋内での作業道具の位置検出手法”, 情報処理学会論文誌, Vol. 50, No. 6, pp. 1575-1586, 2009年6月.

• 櫻井 保志, Christos Faloutsos, 山室 雅司: “ダイナミックタイムワーピング距離に基づくストリーム処理”, 電子情報通信学会論文誌D, Vol. J92-D, No. 3, pp. 338-350, 2009年3月.

• 藤原 靖宏, 櫻井 保志, 山室 雅司: “大量データストリームの類似探索手法”, 情報処理学会論文誌:データベース, Vol. 48, No. SIG7 (TOD33), pp. 1-14, 2007年3月 (平成19年度論文賞).

• 藤原 靖宏, 櫻井 保志, 山室 雅司: “隠れマルコフモデルデータのための高速探索手法”, 電子情報通信学会論文誌D, Vol. J90-D, No. 2, pp. 325-336, 2007年2月 (平成19年度論文賞).

• 小杉 尚子, 櫻井 保志, 森本 正志: “電話を用いたハミング検索システム”, 情報処理学会論文誌:データベース, Vol. 45, No. SIG10(TOD23), pp. 49-60, 2004年9月.

• 江田 毅晴, 櫻井 保志, 天笠 俊之, 吉川 正俊, 植村 俊亮: “XML木のための動的範囲ラベル付け手法”, 情報処理学会論文誌:データベース, Vol. 45, No. SIG7 (TOD22), pp. 102-114, 2004年6月.

• 小杉 尚子, 櫻井 保志, 森本 正志: “ハミング検索のための音楽データの時間正規化手法”, 情報処理学会論文誌:データベース, Vol. 45, No. SIG7 (TOD22), pp. 163-178, 2004年6月.

• 櫻井 保志, 吉川 正俊: “ダイナミックタイムワーピングのための類似探索手法”, 情報処理学会論文誌:データベース, Vol. 45, No. SIG4 (TOD21), pp. 23-36, 2004年3月 (平成16年度論文賞).

• 小杉 尚子, 櫻井 保志, 山室 雅司, 串間 和彦: “SoundCompass：ハミングによる音楽検索システム”, 情報処理学会論文誌, Vol. 45, No. 1, pp. 333-345, 2004年1月.

• 櫻井 保志, 吉川 正俊, 植村 俊亮, 片岡 良治: “楕円体問合せのための空間変換を用いた類似探索アルゴリズム”, 電子情報通信学会論文誌D-I, Vol. J85-D-I, No.3, pp. 303-312, 2002年3月.

• 櫻井 保志, 吉川 正俊, 植村 俊亮, 児島 治彦: “高次元データのための相対的近似を用いた索引手法”, 電子情報通信学会論文誌 D-I, Vol. J83-D-I, No. 12, pp. 1284-1299, 2000年12月.
• 櫻井 保志, 吉川 正俊, 植村 俊亮: “仮想包囲矩形に基づく多次元データ集合に対する近傍検索”, 情報処理学会論文誌:データベース, Vol. 40, No. SIG3 (TOD1), pp. 68-79, 1999年2月.