IEICE Trans

Keyword : data stream

A P2P Sensor Data Stream Delivery System That Guarantees the Specified Reachability under Churn Situations Tomoya KAWAKAMI Tomoki YOSHIHISA Yuuichi TERANISHI
Publication: Publication Date: 2019/05/01 Vol. E102-D No. 5 ; pp. 932-941 Type of Manuscript: Special Section PAPER (Special Section on the Architectures, Protocols, and Applications for the Future Internet) Category: Keyword: sensor data, data stream, delivery cycle, distributed processing, replication, churn resilience,
	Summary \| Full Text:PDF(1.4MB)

A Sensor Data Stream Delivery Method to Accommodate Heterogeneous Cycles on Cloud Tomoya KAWAKAMI Yoshimasa ISHI Tomoki YOSHIHISA Yuuichi TERANISHI
Publication: IEICE TRANSACTIONS on Communications Publication Date: 2016/06/01 Vol. E99-B No. 6 ; pp. 1331-1340 Type of Manuscript: PAPER Category: Network Keyword: sensor data, data stream, delivery cycle, distributed processing, path selection,
	Summary \| Full Text:PDF(3.9MB)

Design and Evaluation of a Configurable Query Processing Hardware for Data Streams Yasin OGE Masato YOSHIMI Takefumi MIYOSHI Hideyuki KAWASHIMA Hidetsugu IRIE Tsutomu YOSHINAGA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2015/12/01 Vol. E98-D No. 12 ; pp. 2207-2217 Type of Manuscript: PAPER Category: Computer System Keyword: FPGA, query processing, data stream, sliding-window aggregation, configurable hardware architecture,
	Summary \| Full Text:PDF(2MB)

Finding Interesting Sequential Patterns in Sequence Data Streams via a Time-Interval Weighting Approach Joong Hyuk CHANG Nam Hun PARK
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2013/08/01 Vol. E96-D No. 8 ; pp. 1734-1744 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: time-interval weight, weighted sequential pattern, time-interval sequential pattern, time-interval sequence data stream, data stream,
	Summary \| Full Text:PDF(1.3MB)

Adaptive Online Prediction Using Weighted Windows Shin-ichi YOSHIDA Kohei HATANO Eiji TAKIMOTO Masayuki TAKEDA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2011/10/01 Vol. E94-D No. 10 ; pp. 1917-1923 Type of Manuscript: Special Section PAPER (Special Section on Information-Based Induction Sciences and Machine Learning) Category: Keyword: machine learning, data stream, online learning, sliding window,
	Summary \| Full Text:PDF(526.6KB)

Finding Cardinality Heavy-Hitters in Massive Traffic Data and Its Application to Anomaly Detection Keisuke ISHIBASHI Tatsuya MORI Ryoichi KAWAHARA Yutaka HIROKAWA Atsushi KOBAYASHI Kimihiro YAMAMOTO Hitoaki SAKAMOTO Shoichiro ASANO
Publication: IEICE TRANSACTIONS on Communications Publication Date: 2008/05/01 Vol. E91-B No. 5 ; pp. 1331-1339 Type of Manuscript: Special Section PAPER (Special Section on Communication Quality) Category: Measurement Methodology for Network Quality Such as IP, TCP and Routing Keyword: cardinality, anomaly detection, data stream,
	Summary \| Full Text:PDF(1.5MB)