Daichi Amagata

According to our database, Daichi Amagata authored at least 85 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space.

Daichi Amagata, Takahiro Hara

ACM Trans. Knowl. Discov. Data, January, 2024

Independent Range Sampling on Interval Data (Longer Version).

Daichi Amagata

CoRR, 2024

Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data (Full Version).

Daichi Amagata, Junya Yamada, Yuchen Ji, Takahiro Hara

CoRR, 2024

An Efficient Framework for Approximate Nearest Neighbor Search on High-Dimensional Multi-metric Data.

Reon Uemura, Daichi Amagata, Takahiro Hara

Proceedings of the Similarity Search and Applications - 17th International Conference, 2024

Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations.

Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Independent Range Sampling on Interval Data.

Daichi Amagata

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SAFE: Sampling-Assisted Fast Learned Cardinality Estimation for Dynamic Spatial Data.

Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara

Proceedings of the Database and Expert Systems Applications, 2024

Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data.

Daichi Amagata, Junya Yamada, Yuchen Ji, Takahiro Hara

Proceedings of the Database and Expert Systems Applications, 2024

Estimating Visited Stores Through Positive-Unlabeled Learning.

Ryo Shirai, Ryo Imai, Seng Pei Liew, Daichi Amagata, Tsubasa Takahashi, Takahiro Hara

Proceedings of the Database Systems for Advanced Applications, 2024

Fair k-center Clustering with Outliers.

Daichi Amagata

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Reverse Maximum Inner Product Search: Formulation, Algorithms, and Analysis.

Daichi Amagata, Takahiro Hara

ACM Trans. Web, November, 2023

Fast Algorithm for Embedded Order Dependency Validation (Extended Version).

Alejandro Ramos, Takuya Uemura, Daichi Amagata, Ryo Shirai, Takahiro Hara

CoRR, 2023

Categorical Diversity-Aware Inner Product Search.

Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara

IEEE Access, 2023

Fast Algorithm for Embedded Order Dependency Validation.

Daichi Amagata, Alejandro Ramos, Ryo Shirai, Takahiro Hara

Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

Simpler is Much Faster: Fair and Independent Inner Product Search.

Kazuyoshi Aoyama, Daichi Amagata, Sumio Fujita, Takahiro Hara

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations.

Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

POI Recommendation by Learning Short-, Long- and Mid-Term Preferences through GNN.

Yue Zhao, Yihong Zhang, Daichi Amagata, Takahiro Hara

Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Approximate Reverse Top-k Spatial-Keyword Queries.

Shunya Nishio, Daichi Amagata, Takahiro Hara

Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Lamps: Location-Aware Moving Top-k Pub/Sub (Extended abstract).

Shunya Nishio, Daichi Amagata, Takahiro Hara

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning.

Hao Niu, Duc V. Nguyen, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, 2023

Learned Spatial Data Partitioning.

Keizo Hori, Yuya Sasaki, Daichi Amagata, Yuki Murosaki, Makoto Onizuka

Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2023

Diversity Maximization in the Presence of Outliers.

Daichi Amagata

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Fast, exact, and parallel-friendly outlier detection algorithms with proximity graph in metric spaces.

Daichi Amagata, Makoto Onizuka, Takahiro Hara

VLDB J., 2022

Lamps: Location-Aware Moving Top-k Pub/Sub.

Shunya Nishio, Daichi Amagata, Takahiro Hara

IEEE Trans. Knowl. Data Eng., 2022

Cardinality Estimation in Inner Product Space.

Kohei Hirata, Daichi Amagata, Takahiro Hara

IEEE Open J. Comput. Soc., 2022

HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce.

Zhi Li, Daichi Amagata, Yihong Zhang, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Mori Kurokawa

Knowl. Based Syst., 2022

Efficient Retrieval of Top-k Weighted Triangles on Static and Dynamic Spatial Data.

Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara

IEEE Access, 2022

Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively.

Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Learned k-NN distance estimation.

Daichi Amagata, Yusuke Arai, Sumio Fujita, Takahiro Hara

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

A Performance Study of One-dimensional Learned Cardinality Estimation.

Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara

Proceedings of the 24th International Workshop on Design, 2022

Efficient Retrieval of Top-k Weighted Spatial Triangles.

Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara

Proceedings of the Database Systems for Advanced Applications, 2022

Retrieving Top-N Weighted Spatial k-cliques.

Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara

Proceedings of the IEEE International Conference on Big Data, 2022

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations.

Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa

Proceedings of the IEEE International Conference on Big Data, 2022

Scalable and Accurate Density-Peaks Clustering on Fully Dynamic Data.

Daichi Amagata

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Predicting Next-use Mobile Apps Using App Semantic Representations.

Cheng Chen, Takuya Maekawa, Daichi Amagata, Takahiro Hara

J. Inf. Process., 2021

Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach.

Daichi Amagata, Makoto Onizuka, Takahiro Hara

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Fast Density-Peaks Clustering: Multicore-based Parallelization Approach.

Daichi Amagata, Takahiro Hara

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item?

Daichi Amagata, Takahiro Hara

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Concept Drift Detection with Denoising Autoencoder in Incomplete Data.

Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2021

Feat-SKSJ: Fast and Exact Algorithm for Top-k Spatial-Keyword Similarity Join.

Daichi Amagata, Shohei Tsuruoka, Yusuke Arai, Takahiro Hara

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

LGTM: A Fast and Accurate kNN Search Algorithm in High-Dimensional Spaces.

Yusuke Arai, Daichi Amagata, Sumio Fujita, Takahiro Hara

Proceedings of the Database and Expert Systems Applications, 2021

Approximate Top-k Inner Product Join with a Proximity Graph.

Hayato Nakama, Daichi Amagata, Takahiro Hara

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Detecting Energy Depriving Malicious Nodes by Unsupervised Learning in Energy Harvesting Cooperative Wireless Sensor Networks.

Boqi Gao, Daichi Amagata, Takuya Maekawa, Takahiro Hara

J. Inf. Process., 2020

Detecting Reinforcement Learning-Based Grey Hole Attack in Mobile Wireless Sensor Networks.

Boqi Gao, Takuya Maekawa, Daichi Amagata, Takahiro Hara

IEICE Trans. Commun., 2020

On the Transferability of Deep Neural Networks for Recommender System.

Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), 2020

Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub.

Shohei Tsuruoka, Daichi Amagata, Shunya Nishio, Takahiro Hara

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019

Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System.

Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Behavior Matching between Different Domains based on Canonical Correlation Analysis.

Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Estimating User Contexts from Mobile Application Usage Histories.

Toshimitsu Kamiya, Tatsuya Nakamura, Takuya Maekawa, Daichi Amagata, Takahiro Hara

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Preliminary Investigation of Predicting Next-Use Mobile Apps Using App Semantic Representations.

Cheng Chen, Takuya Maekawa, Daichi Amagata, Takahiro Hara

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting.

Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Dynamic Set kNN Self-Join.

Daichi Amagata, Takahiro Hara, Chuan Xiao

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Identifying the Most Interactive Object in Spatial Databases.

Daichi Amagata, Takahiro Hara

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks.

Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Discord Monitoring for Streaming Time-Series.

Shinya Kato, Daichi Amagata, Shunya Nishio, Takahiro Hara

Proceedings of the Database and Expert Systems Applications, 2019

Correlation Set Discovery on Time-Series Data.

Daichi Amagata, Takahiro Hara

Proceedings of the Database and Expert Systems Applications, 2019

Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction.

Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Space Filling Approach for Distributed Processing of Top-k Dominating Queries.

Daichi Amagata, Takahiro Hara, Makoto Onizuka

IEEE Trans. Knowl. Data Eng., 2018

Detecting Door Events Using a Smartphone via Active Sound Sensing.

Thilina Dissanayake, Takuya Maekawa, Daichi Amagata, Takahiro Hara

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Dummy Generation Based on User-Movement Estimation for Location Privacy Protection.

Shuhei Hayashida, Daichi Amagata, Takahiro Hara, Xing Xie

IEEE Access, 2018

Preliminary Investigation of Fine-Grained Gesture Recognition With Signal Super-Resolution.

Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Preliminary Investigation of Detecting Events of Indoor Objects with Smartphone Active Sound Sensing.

Thilina Dissanayake, Takuya Maekawa, Daichi Amagata, Takahiro Hara

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Mining Top-k Co-Occurrence Patterns across Multiple Streams (Extended Abstract).

Daichi Amagata, Takahiro Hara

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Environment-Adaptive Malicious Node Detection in MANETs with Ensemble Learning.

Boqi Gao, Takuya Maekawa, Daichi Amagata, Takahiro Hara

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Developing a Competency-based System to Enhance Knowledge Management Program.

Yujia Wang, Chalermpon Kongjit, Takahiro Hara, Daichi Amagata

Proceedings of the 9th International Conference on Awareness Science and Technology, 2018

Monitoring Range Motif on Streaming Time-Series.

Shinya Kato, Daichi Amagata, Shunya Nishio, Takahiro Hara

Proceedings of the Database and Expert Systems Applications, 2018

Virtual Touch-Point: Trans-Domain Behavioral Targeting via Transfer Learning.

Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

A General Framework for MaxRS and MaxCRS Monitoring in Spatial Data Streams.

Daichi Amagata, Takahiro Hara

ACM Trans. Spatial Algorithms Syst., 2017

Mining Top-k Co-Occurrence Patterns across Multiple Streams.

Daichi Amagata, Takahiro Hara

IEEE Trans. Knowl. Data Eng., 2017

Efficient cluster-based top-k query routing with data replication in MANETs.

Daichi Amagata, Takahiro Hara, Yuya Sasaki, Shojiro Nishio

Soft Comput., 2017

Geo-Social Keyword Skyline Queries.

Naoya Taguchi, Daichi Amagata, Takahiro Hara

Proceedings of the Database and Expert Systems Applications, 2017

Geo-Social Keyword Top-k Data Monitoring over Sliding Window.

Shunya Nishio, Daichi Amagata, Takahiro Hara

Proceedings of the Database and Expert Systems Applications, 2017

Probabilistic MaxRS Queries on Uncertain Data.

Yuki Nakayama, Daichi Amagata, Takahiro Hara

Proceedings of the Database and Expert Systems Applications, 2017

2016

Efficient processing of top-k dominating queries in distributed environments.

Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio

World Wide Web, 2016

Sliding window top-k dominating query processing over distributed data streams.

Daichi Amagata, Takahiro Hara, Shojiro Nishio

Distributed Parallel Databases, 2016

Probabilistic nearest neighbor query processing on distributed uncertain data.

Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio

Distributed Parallel Databases, 2016

Monitoring MaxRS in Spatial Data Streams.

Daichi Amagata, Takahiro Hara

Proceedings of the 19th International Conference on Extending Database Technology, 2016

An Efficient Method for Identifying MaxRS Location in Mobile Ad Hoc Networks.

Yuki Nakayama, Daichi Amagata, Takahiro Hara

Proceedings of the Database and Expert Systems Applications, 2016

Diversified set monitoring over distributed data streams.

Daichi Amagata, Takahiro Hara

Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, 2016

2015

Efficient Multidimensional Top-k Query Processing in Wireless Multihop Networks.

Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio

Mob. Inf. Syst., 2015

Distributed top-k query processing on multi-dimensional data with keywords.

Daichi Amagata, Takahiro Hara, Shojiro Nishio

Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Range-based Continuous Threshold Query Processing in Mobile Ad Hoc Networks.

Yuki Nakayama, Daichi Amagata, Takahiro Hara, Shojiro Nishio

Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia, 2015

2014

CTR: An Efficient Cluster-based Top-k Query Routing in MANETs.

Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio

Proceedings of the 12th International Conference on Advances in Mobile Computing and Multimedia, 2014

2013

A Robust Routing Method for Top-k Queries in Mobile Ad Hoc Networks.

Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio

Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

A Routing Method for Top-k Query Processing in Mobile Ad Hoc Networks.

Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio

Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications, 2013