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Bou Savong
Bou, Savong
Center for Computational Sciences , 助教 Center for Computational Sciences
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1.
Explainable Time Series Anomaly Detection by Dynamic Mode Decomposition
Shun Kawakami; Toshiyuki Amagasa; Savong Bou
Lecture Notes in Computer Science 169 (2025)
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2.
Efficient Processing of Multiple Continuous Window Aggregations over Streams
Shun KAWAKAMI; Savong BOU; Toshiyuki AMAGASA
IEICE Transactions on Information and Systems E108.D: 855 (2025)
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3.
O(1)-Time Complexity for Fixed Sliding-Window Aggregation Over Out-of-Order Data Streams: (Extended Abstract)
Savong Bou; Toshiyuki Amagasa; Hiroyuki Kitagawa
2025 IEEE 41st International Conference on Data Engineering (ICDE) 4704 (2025)
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4.
O(1)-Time Complexity for Fixed Sliding-Window Aggregation Over Out-of-Order Data Streams
Savong Bou; Toshiyuki Amagasa; Hiroyuki Kitagawa
IEEE Transactions on Knowledge and Data Engineering 36: 6745 (2024)
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5.
Subtree Similarity Search Based on Structure and Text
Takuya Mizokami; Savong Bou; Toshiyuki Amagasa
Lecture Notes in Computer Science 72 (2024)
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6.
LSiX: A Scheme for Efficient Multiple Continuous Window Aggregation Over Streams
Shun Kawakami; Savong Bou; Toshiyuki Amagasa
Lecture Notes in Computer Science 322 (2024)
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7.
Finformer: Fast Incremental and General Time Series Data Prediction
Savong BOU; Toshiyuki AMAGASA; Hiroyuki KITAGAWA
IEICE Transactions on Information and Systems E107.D: 625 (2024)
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8.
Two evaluations on Ontology-style relation annotations
Savong Bou; Makoto Miwa; Yutaka Sasaki
Computer Speech and Language 84: 101569 (2024) Semantic Scholar
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9.
Efficient Pattern Matching over Out-of-Order Event Streams Using Sliding Buffer
Rina Trisminingsih; Savong Bou; Toshiyuki Amagasa
Journal of Information Processing 32: 963 (2024)
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10.
Efficient Missing Value Imputation by Maximum Distance Likelihood
Savong Bou; Toshiyuki Amagasa; Hiroyuki Kitagawa; Salman Ahmed ShaikhAkiyoshi Matono
2023 IEEE International Conference on Big Data (BigData) 331 (2023)
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11.
CPiX: Real-Time Analytics Over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation
Savong Bou; Hiroyuki Kitagawa; Toshiyuki Amagasa
2023 IEEE 39th International Conference on Data Engineering (ICDE) 3759 (2023)
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12.
Fast Relevant Feature Selection Based on Markov Boundary Learning from Data Stream for Classification Tasks.
Dukundane Gashongore Prince; Savong Bou
Journal of Information Processing 31: 321 (2023)
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13.
CPiX: Real-Time Analytics over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation
Savong Bou; Hiroyuki Kitagawa; Toshiyuki Amagasa
IEEE Transactions on Knowledge and Data Engineering 34: 5239 (2022) Semantic Scholar
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14.
PR-MVI: Efficient Missing Value Imputation over Data Streams by Distance Likelihood
Savong Bou; Toshiyuki Amagasa; Hiroyuki Kitagawa; Salman Ahmed ShaikhAkiyoshi Matono
Information Integration and Web Intelligence - 24th International Conference(iiWAS) 338 (2022) Semantic Scholar
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15.
InTrans: Fast Incremental Transformer for Time Series Data Prediction.
Savong Bou; Toshiyuki Amagasa; Hiroyuki Kitagawa
DEXA (2) 47 (2022) Semantic Scholar
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16.
L-BiX: Incremental Sliding-Window Aggregation over Data Streams Using Linear Bidirectional Aggregating Indexes
Savong Bou; Hiroyuki Kitagawa; Toshiyuki Amagasa
Knowledge and Information Systems 62: 3107 (2020) Semantic Scholar
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17.
Ontology-Style Relation Annotation: A Case Study
Savong Bou; Naoki Suzuki; Makoto Miwa; Yutaka Sasaki
Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020) 4867 (2020)
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18.
オントロジー形式アノテーションを対象とした交通用語・関係抽出と正誤問題の回答
鈴木直樹; Savong Bou; 三輪誠; 佐々木裕
言語処理学会第26回年次大会 (NLP2020) 26th: 1408 (2020)
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19.
オントロジー形式による交通関係アノテーション
Savong Bou; 鈴木直樹; 三輪誠; 佐々木裕
言語処理学会第26回年次大会 (NLP2020) 26th: 41 (2020)
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20.
CBiX: Incremental Sliding-Window Aggregation For Real-Time Analytics Over Out-of-Order Data Streams
Savong Bou; Hiroyuki Kitagawa; Toshiyuki Amagasa
第11回データ工学と情報マネジメントに関するフォーラム (DEIM 2019) F7-5 (2019)
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