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ORCIDMasaru Kitsuregawa
Person information
- affiliation: University of Tokyo, Japan
- award (2009): SIGMOD Edgar F. Codd Innovations Award
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2020 – today
- 2023
[j86]Masaru Kitsuregawa, Shigeo Urushidani, Kazutsuna Yamaji, Hiroki Takakura, Ichiro Hasuo, Imari Sato, Fuyuki Ishikawa, Isao Echizen, Kensaku Mori:
Activities of National Institute of Informatics in Japan. Commun. ACM 66(7): 58-63 (2023)- [j85]Eiji Ikoma, Masaru Kitsuregawa:
DIAS - Earth Environment Data Integration and Analysis System. Commun. ACM 66(7): 85-86 (2023) - [c317]Hirotaka Yoshioka, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
pmmeter: A Microbenchmark for Understanding Synchronization Cost on Persistent Memory. BigComp 2023: 326-327 - [c316]Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda:
Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. ICDE 2023: 638-652 - [c315]Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda:
Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. ICDE 2023: 3563-3577 - [c314]Hiroyuki Yamada
, Kazuo Goda, Masaru Kitsuregawa:
Nested Loops Revisited Again. ICDE 2023: 3708-3717 - [c313]Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada:
Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images. ISBI 2023: 1-5 - [i6]Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada:
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images. CoRR abs/2304.03537 (2023) - 2022
- [j84]Yutaro Bessho, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
Dynamic Fault Tolerance for Multi-Node Query Processing. IEICE Trans. Inf. Syst. 105-D(5): 909-919 (2022) - [c312]Mika Takata, Kazuo Goda, Masaru Kitsuregawa:
μ-join: Efficient Join with Versioned Dimension Tables. DASFAA (1) 2022: 88-95 - [c311]Hiroki Yuasa, Kazuo Goda, Masaru Kitsuregawa:
Exploiting Embedded Synopsis for Exact and Approximate Query Processing. DEXA (2) 2022: 235-240 - [c310]Fumikazu Sato, Naoki Yoshinaga, Masaru Kitsuregawa:
Building Large-Scale Japanese Pronunciation-Annotated Corpora for Reading Heteronymous Logograms. LREC 2022: 7113-7121 - [c309]Anastasia Ailamaki, Leilani Battle, Johannes Gehrke, Masaru Kitsuregawa, David Maier, Christopher Ré, Meihui Zhang, Magdalena Balazinska:
The DB Community vis-à-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander? SIGMOD Conference 2022: 2498-2500 - [i5]Yuri Nakayama, Yuka Takedomi, Towa Suda, Takeaki Uno, Takako Hashimoto, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Luis E. C. Rocha, Ryota Kobayashi:
Evolution of the public opinion on COVID-19 vaccination in Japan. CoRR abs/2207.10924 (2022) - 2021
- [c308]Takako Hashimoto, Takeaki Uno, Yuka Takedomi, David Lawrence Shepard, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Ryota Kobayashi:
Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter. IEEE BigData 2021: 614-621 - [c307]Shoetsu Sato, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Speculative Sampling in Variational Autoencoders for Dialogue Response Generation. EMNLP (Findings) 2021: 4739-4745 - 2020
- [j83]R. Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases. IEEE Access 8: 27584-27596 (2020) - [j82]Kazuo Goda, Yuto Hayamizu, Hiroyuki Yamada, Masaru Kitsuregawa:
Out-of-order Execution of Database Queries. Proc. VLDB Endow. 13(12): 3489-3501 (2020) - [j81]Yohei Sawada, Toshio Koike, Eiji Ikoma, Masaru Kitsuregawa:
Monitoring and Predicting Agricultural Droughts for a Water-Limited Subcontinental Region by Integrating a Land Surface Model and Microwave Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 58(1): 14-33 (2020) - [c306]Yutaro Bessho, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
PhoeniQ: Failure-Tolerant Query Processing in Multi-node Environments. DEXA (1) 2020: 71-85 - [c305]R. Uday Kiran, Yutaka Watanobe, Bhaskar Chaudhury, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa:
Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases. DSAA 2020: 11-20 - [c304]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. NLP4COVID@EMNLP 2020 - [c303]Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Vocabulary Adaptation for Domain Adaptation in Neural Machine Translation. EMNLP (Findings) 2020: 4269-4279 - [c302]Nobukazu Fukuda, Naoki Yoshinaga, Masaru Kitsuregawa:
Robust Backed-off Estimation of Out-of-Vocabulary Embeddings. EMNLP (Findings) 2020: 4827-4838 - [c301]R. Uday Kiran, C. Saideep, Penugonda Ravikumar, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases. FUZZ-IEEE 2020: 1-8 - [c300]R. Uday Kiran, Sourabh Shrivastava, Philippe Fournier-Viger, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa:
Discovering Frequent Spatial Patterns in Very Large Spatiotemporal Databases. SIGSPATIAL/GIS 2020: 445-448 - [c299]Kazutoshi Umemoto, Tova Milo, Masaru Kitsuregawa:
Toward Recommendation for Upskilling: Modeling Skill Improvement and Item Difficulty in Action Sequences. ICDE 2020: 169-180 - [c298]C. Saideep, R. Uday Kiran, Koji Zettsu, Cheng-Wei Wu, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa:
Parallel Mining of Partial Periodic Itemsets in Big Data. IEA/AIE 2020: 807-819 - [c297]Jumpei Sato, Kazutoshi Umemoto, Kazuo Goda, Masaru Kitsuregawa, Naohiro Mitsutake:
Retrieving and Analyzing Hospital Service Suspensions from Regional Healthcare Insurance Claims Data. MIE 2020: 407-411 - [i4]Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation. CoRR abs/2004.14821 (2020) - [i3]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. CoRR abs/2008.01523 (2020)
2010 – 2019
- 2019
- [c296]P. P. C. Reddy, R. Uday Kiran, Koji Zettsu, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases. BDA 2019: 287-306 - [c295]R. Uday Kiran, C. Saideep, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases. IEEE BigData 2019: 233-238 - [c294]T. Yashwanth Reddy, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Partial Periodic High Utility Itemsets in Temporal Databases. DEXA (2) 2019: 351-361 - [c293]Kazutoshi Umemoto, Kazuo Goda, Naohiro Mitsutake, Masaru Kitsuregawa:
A Prescription Trend Analysis using Medical Insurance Claim Big Data. ICDE 2019: 1928-1939 - [c292]Rage Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases. ICDM Workshops 2019: 987-996 - [c291]C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Periodic Patterns in Irregular Time Series. ICDM Workshops 2019: 1020-1028 - [c290]Jumpei Sato, Kazuo Goda, Masaru Kitsuregawa, Naoki Nakashima, Naohiro Mitsutake:
Novel Analytics Framework for Universal Healthcare Insurance Claims Database. MedInfo 2019: 1578-1579 - [c289]Teppei Kanayama, Yusuke Kurose, Kiyohito Tanaka, Kento Aida, Shin'ichi Satoh, Masaru Kitsuregawa, Tatsuya Harada:
Gastric Cancer Detection from Endoscopic Images Using Synthesis by GAN. MICCAI (5) 2019: 530-538 - [c288]Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Shoetsu Sato, Masashi Toyoda, Masaru Kitsuregawa:
Learning to Describe Unknown Phrases with Local and Global Contexts. NAACL-HLT (1) 2019: 3467-3476 - [c287]R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility. PAKDD (2) 2019: 191-203 - [c286]R. Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. SSDBM 2019: 49-60 - 2018
- [j80]Akiyuki Kawasaki, Petra Koudelova, Katsunori Tamakawa, Asanobu Kitamoto, Eiji Ikoma, Koji Ikeuchi, Ryosuke Shibasaki, Masaru Kitsuregawa, Toshio Koike:
Data Integration and Analysis System (DIAS) as a Platform for Data and Model Integration: Cases in the Field of Water Resources Management and Disaster Risk Reduction. Data Sci. J. 17: 29 (2018) - [j79]J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Periodic-Correlated Patterns in Temporal Databases. Trans. Large Scale Data Knowl. Centered Syst. 38: 146-172 (2018) - [c285]Masaru Kitsuregawa:
Transformational Role of Big Data in Society 5.0. IEEE BigData 2018: 3 - [c284]R. Uday Kiran, Amulya Kotni, P. Krishna Reddy, Masashi Toyoda, Subhash Bhalla, Masaru Kitsuregawa:
Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit. IEEE BigData 2018: 723-732 - [c283]Amulya Kotni, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms. DaWaK 2018: 355-370 - [c282]Boming Luo, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
Modeling Query Energy Costs in Analytical Database Systems with Processor Speed Scaling. DEXA (2) 2018: 310-317 - [c281]Hitomi Sano, Eiji Ikoma, Masaru Kitsuregawa, Masato Oguchi:
Proposed Method for Disaster Prevention-Oriented Synthetic Rainfall of C-band radar and XRAIN. IMCOM 2018: 7:1-7:6 - [c280]Yuto Hayamizu, Ryoji Kawamichi, Kazuo Goda, Masaru Kitsuregawa:
Benchmarking and Performance Analysis of Event Sequence Queries on Relational Database. TPCTC 2018: 110-125 - [r2]Masashi Toyoda, Masaru Kitsuregawa:
Connecting Communities. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i2]Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Masashi Toyoda, Masaru Kitsuregawa:
Learning to Describe Phrases with Local and Global Contexts. CoRR abs/1811.00266 (2018) - 2017
- [j78]Akiyuki Kawasaki, Akio Yamamoto, Petra Koudelova, Ralph Acierto, Toshihiro Nemoto, Masaru Kitsuregawa, Toshio Koike:
Data Integration and Analysis System (DIAS) Contributing to Climate Change Analysis and Disaster Risk Reduction. Data Sci. J. 16: 41 (2017) - [j77]Nilesh Padhariya, Anirban Mondal, Sanjay Madria, Masaru Kitsuregawa:
Economic Incentive Schemes for Improving Availability of Rare Data in Mobile-P2P Networks. Int. J. Next Gener. Comput. 8(1) (2017) - [j76]R. Uday Kiran, J. N. Venkatesh, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering partial periodic-frequent patterns in a transactional database. J. Syst. Softw. 125: 170-182 (2017) - [c279]Shoetsu Sato, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Modeling Situations in Neural Chat Bots. ACL (Student Research Workshop) 2017: 120-127 - [c278]Shonosuke Ishiwatari, Jingtao Yao, Shujie Liu, Mu Li, Ming Zhou, Naoki Yoshinaga, Masaru Kitsuregawa, Weijia Jia:
Chunk-based Decoder for Neural Machine Translation. ACL (1) 2017: 1901-1912 - [c277]Jun Suzuki, Yuki Hayashi, Masaki Kan, Shinya Miyakawa, Takashi Takenaka, Takuya Araki, Masaru Kitsuregawa:
Victream: Computing Framework for Out-of-Core Processing on Multiple GPUs. BDCAT 2017: 179-188 - [c276]Hitomi Sano, Eiji Ikoma, Masaru Kitsuregawa, Masato Oguchi:
Implementation of Disaster Prevention-Oriented Information Service Platform of XRAIN on DIAS. BigData Congress 2017: 398-405 - [c275]Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa:
Optimal viewpoint finding for 3D visualization of spatio-temporal vehicle trajectories on caution crossroads detected from vehicle recorder big data. IEEE BigData 2017: 3426-3434 - [c274]Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa:
An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns. DaWaK 2017: 120-129 - [c273]Masaru Kitsuregawa:
Observable-by-Design. ICDCS 2017: 1714-1716 - [c272]Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa:
Optimal viewpoint finding for space time cube to explore spatio-temporal characteristics of vehicle trajectories on crossroads. LDAV 2017: 94-95 - [c271]R. Uday Kiran, J. N. Venkatesh, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Periodic Patterns in Non-uniform Temporal Databases. PAKDD (2) 2017: 604-617 - [c270]Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa:
Understanding Drivers' Safety by Fusing Large Scale Vehicle Recorder Dataset and Heterogeneous Circumstantial Data. PAKDD (2) 2017: 734-746 - [c269]R. Uday Kiran, Haichuan Shang, Masashi Toyoda, Masaru Kitsuregawa:
Discovering Partial Periodic Itemsets in Temporal Databases. SSDBM 2017: 30:1-30:6 - 2016
- [j75]R. Uday Kiran, Masaru Kitsuregawa, P. Krishna Reddy:
Efficient discovery of periodic-frequent patterns in very large databases. J. Syst. Softw. 112: 110-121 (2016) - [j74]Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Yoshimitsu Tomita, Satoshi Kawamura, Masaru Kitsuregawa:
Visual Exploration of Changes in Passenger Flows and Tweets on Mega-City Metro Network. IEEE Trans. Big Data 2(1): 85-99 (2016) - [c268]Shonosuke Ishiwatari, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Instant Translation Model Adaptation by Translating Unseen Words in Continuous Vector Space. CICLing (2) 2016: 51-62 - [c267]Tatsuya Iwanari, Kohei Ohara, Naoki Yoshinaga, Nobuhiro Kaji, Masashi Toyoda, Masaru Kitsuregawa:
Kotonush: Understanding Concepts Based on Values behind Social Media. COLING (Demos) 2016: 292-296 - [c266]J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence. DEXA (1) 2016: 55-70 - [c265]Chihiro Kato, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
Aging Locality Awareness in Cost Estimation for Database Query Optimization. DEXA (2) 2016: 389-396 - [c264]Norifumi Nishikawa, Miyuki Nakano, Masaru Kitsuregawa:
Application sensitive energy management framework for storage systems. ICDE 2016: 1554-1555 - [c263]Tatsuya Iwanari, Naoki Yoshinaga, Nobuhiro Kaji, Toshiharu Nishina, Masashi Toyoda, Masaru Kitsuregawa:
Ordering Concepts Based on Common Attribute Intensity. IJCAI 2016: 3747-3753 - [c262]Shoetsu Sato, Shonosuke Ishiwatari, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
UT Dialogue System at NTCIR-12 STC. NTCIR 2016 - [c261]Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa:
Memory efficient mining of periodic-frequent patterns in transactional databases. SSCI 2016: 1-8 - 2015
- [j73]Norifumi Nishikawa, Miyuki Nakano, Masaru Kitsuregawa:
Energy aware RAID configuration for data intensive applications in enterprise storages. Int. J. Comput. Sci. Eng. 11(3): 227-238 (2015) - [j72]Rage Uday Kiran, Masaru Kitsuregawa:
Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds. J. Intell. Inf. Syst. 45(3): 357-377 (2015) - [j71]Norifumi Nishikawa, Miyuki Nakano, Masaru Kitsuregawa:
Application Sensitive Energy Management Framework for Storage Systems. IEEE Trans. Knowl. Data Eng. 27(9): 2335-2348 (2015) - [c260]R. Uday Kiran, Masaru Kitsuregawa:
Finding Periodic Patterns in Big Data. BDA 2015: 121-133 - [c259]Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa:
Visual interface for exploring caution spots from vehicle recorder big data. IEEE BigData 2015: 776-784 - [c258]Haichuan Shang, Xiang Zhao, R. Uday Kiran, Masaru Kitsuregawa:
Towards Scale-out Capability on Social Graphs. CIKM 2015: 253-262 - [c257]Shonosuke Ishiwatari, Nobuhiro Kaji, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Accurate Cross-lingual Projection between Count-based Word Vectors by Exploiting Translatable Context Pairs. CoNLL 2015: 300-304 - [c256]R. Uday Kiran, Masaru Kitsuregawa:
Discovering Chronic-Frequent Patterns in Transactional Databases. DNIS 2015: 12-26 - [c255]R. Uday Kiran, Haichuan Shang, Masashi Toyoda, Masaru Kitsuregawa:
Discovering Recurring Patterns in Time Series. EDBT 2015: 97-108 - [c254]Chihiro Kato, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
An Experimental Study of Aging Influence on Query Cost Estimation. IDEAS 2015: 220-221 - [c253]Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa:
A System for visual exploration of caution spots from vehicle recorder data. VAST 2015: 199-200 - [c252]Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima:
Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. KDD 2015: 1681-1690 - 2014
- [j70]Yong Ren, Nobuhiro Kaji, Naoki Yoshinaga, Masaru Kitsuregawa:
Sentiment Classification in Under-Resourced Languages Using Graph-Based Semi-Supervised Learning Methods. IEICE Trans. Inf. Syst. 97-D(4): 790-797 (2014) - [j69]Turgay Yilmaz, Adnan Yazici, Masaru Kitsuregawa:
RELIEF-MM: effective modality weighting for multimedia information retrieval. Multim. Syst. 20(4): 389-413 (2014) - [j68]Yanhui Gu, Zhenglu Yang, Guandong Xu, Miyuki Nakano, Masashi Toyoda, Masaru Kitsuregawa:
Exploration on efficient similar sentences extraction. World Wide Web 17(4): 595-626 (2014) - [c251]Keisuke Suzuki, Yuto Hayamizu, Daisaku Yokoyama, Miyuki Nakano, Masaru Kitsuregawa:
Comprehensive Analytics of Large Data Query Processing on Relational Database with SSDs. ADC 2014: 135-146 - [c250]Masahiko Itoh, Masashi Toyoda, Cai-Zhi Zhu, Shin'ichi Satoh, Masaru Kitsuregawa:
Image Flows Visualization for Inter-media Comparison. PacificVis 2014: 129-136 - [c249]Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Yoshimitsu Tomita, Satoshi Kawamura, Masaru Kitsuregawa:
Visual fusion of mega-city big data: An application to traffic and tweets data analysis of Metro passengers. IEEE BigData 2014: 431-440 - [c248]Naoki Yoshinaga, Masaru Kitsuregawa:
A Self-adaptive Classifier for Efficient Text-stream Processing. COLING 2014: 1091-1102 - [c247]R. Uday Kiran, Masaru Kitsuregawa:
Novel Techniques to Reduce Search Space in Periodic-Frequent Pattern Mining. DASFAA (2) 2014: 377-391 - [c246]Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang:
Welcome from DSAA 2014 chairs. DSAA 2014: 9-10 - [c245]Nobuhiro Kaji, Masaru Kitsuregawa:
Accurate Word Segmentation and POS Tagging for Japanese Microblogs: Corpus Annotation and Joint Modeling with Lexical Normalization. EMNLP 2014: 99-109 - [c244]Eiko Kai, Ashir Ahmed, Sozo Inoue, Atsushi Taniguchi, Naoki Nakashima, Yasunobu Nohara, Masaru Kitsuregawa:
Evolving health consultancy by predictive caravan health sensing in developing countries. UbiComp Adjunct 2014: 1225-1232 - [c243]Daisaku Yokoyama, Masahiko Itoh, Masashi Toyoda, Yoshimitsu Tomita, Satoshi Kawamura, Masaru Kitsuregawa:
A Framework for Large-Scale Train Trip Record Analysis and Its Application to Passengers' Flow Prediction after Train Accidents. PAKDD (1) 2014: 533-544 - [c242]Daisaku Yokoyama, Masaru Kitsuregawa:
A Randomized Game-Tree Search Algorithm for Shogi Based on Bayesian Approach. PRICAI 2014: 937-944 - [r1]Masashi Toyoda, Masaru Kitsuregawa:
Connecting Communities. Encyclopedia of Social Network Analysis and Mining 2014: 260-262 - 2013
- [j67]Nilesh Padhariya, Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
Economic incentive-based brokerage schemes for improving data availability in mobile-P2P networks. Comput. Commun. 36(8): 861-874 (2013) - [j66]Botao Wang, Jingwei Qu, Xiaosong Wang, Guoren Wang, Masaru Kitsuregawa:
VGQ-Vor: extending virtual grid quadtree with Voronoi diagram for mobile k nearest neighbor queries over mobile objects. Frontiers Comput. Sci. 7(1): 44-54 (2013) - [j65]Lin Li, Luo Zhong, Zhenglu Yang, Masaru Kitsuregawa:
QUBiC: An adaptive approach to query-based recommendation. J. Intell. Inf. Syst. 40(3): 555-587 (2013) - [j64]Yanhui Gu, Zhenglu Yang, Miyuki Nakano, Masaru Kitsuregawa:
Exploration on Effectiveness and Efficiency of Similar Sentence Matching. Polibits 47: 23-29 (2013) - [j63]Haichuan Shang, Masaru Kitsuregawa:
Skyline Operator on Anti-correlated Distributions. Proc. VLDB Endow. 6(9): 649-660 (2013) - [j62]Lin Li, Guandong Xu, Zhenglu Yang, Peter Dolog, Yanchun Zhang, Masaru Kitsuregawa:
An efficient approach to suggesting topically related web queries using hidden topic model. World Wide Web 16(3): 273-297 (2013) - [c241]Junhee Park, Qingyang Wang, Deepal Jayasinghe, Jack Li, Yasuhiko Kanemasa, Masazumi Matsubara, Daisaku Yokoyama, Masaru Kitsuregawa, Calton Pu:
Variations in Performance Measurements of Multi-core Processors: A Study of n-Tier Applications. IEEE SCC 2013: 336-343 - [c240]R. Uday Kiran, Masaru Kitsuregawa:
An Improved Neighborhood-Restricted Association Rule-based Recommender System. ADC 2013: 43-50 - [c239]R. Uday Kiran, Masaru Kitsuregawa:
Discovering Quasi-Periodic-Frequent Patterns in Transactional Databases. BDA 2013: 97-115 - [c238]