An Efficient Hardware Architecture for Finding Frequent Items in Data Streams

2020 IEEE 38th International Conference on Computer Design (ICCD) ◽

10.1109/iccd50377.2020.00034 ◽

2020 ◽

Author(s):

Ali Ebrahim ◽

Jalal Khlaifat

Keyword(s):

Data Streams ◽

Hardware Architecture ◽

Download Full-text

Finding Frequent Items in Time Decayed Data Streams

Web Technologies and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-45817-5_2 ◽

2016 ◽

pp. 17-29 ◽

Author(s):

Shanshan Wu ◽

Huaizhong Lin ◽

Leong Hou U ◽

Yunjun Gao ◽

Dongming Lu

Keyword(s):

Data Streams ◽

Download Full-text

A Sketch-Based Architecture for Mining Frequent Items and Itemsets from Distributed Data Streams

2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing ◽

10.1109/ccgrid.2011.45 ◽

2011 ◽

Author(s):

Eugenio Cesario ◽

Antonio Grillo ◽

Carlo Mastroianni ◽

Domenico Talia

Keyword(s):

Data Streams ◽

Distributed Data ◽

Distributed Data Streams ◽

Download Full-text

Finding Frequent Items in Data Streams Using ESBF

Emerging Technologies in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77018-3_26 ◽

2007 ◽

pp. 244-255 ◽

Author(s):

ShuYun Wang ◽

XiuLan Hao ◽

HeXiang Xu ◽

YunFa Hu

Keyword(s):

Data Streams ◽

Download Full-text

False-Negative Frequent Items Mining from Data Streams with Bursting

Database Systems for Advanced Applications - Lecture Notes in Computer Science ◽

10.1007/11408079_38 ◽

2005 ◽

pp. 422-434 ◽

Author(s):

Zhihong Chong ◽

Jeffrey Xu Yu ◽

Hongjun Lu ◽

Zhengjie Zhang ◽

Aoying Zhou

Keyword(s):

Data Streams ◽

False Negative ◽

Download Full-text

FIDS: Monitoring Frequent Items over Distributed Data Streams

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-540-73499-4_35 ◽

2007 ◽

pp. 464-478 ◽

Author(s):

Robert Fuller ◽

Mehmed Kantardzic

Keyword(s):

Data Streams ◽

Distributed Data ◽

Distributed Data Streams ◽

Download Full-text

Mining frequent items and itemsets from distributed data streams for emergency detection and management

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-016-0344-9 ◽

2016 ◽

Vol 8 (1) ◽

pp. 47-55

Author(s):

Albino Altomare ◽

Eugenio Cesario ◽

Domenico Talia

Keyword(s):

Data Streams ◽

Distributed Data ◽

Distributed Data Streams ◽

Frequent Items ◽

Emergency Detection

Download Full-text

Finding frequent items in data streams using hierarchical information

2007 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2007.4413754 ◽

2007 ◽

Author(s):

Xiaoyu Wang ◽

Hongyan Liu ◽

Jiawei Han

Keyword(s):

Data Streams ◽

Download Full-text

Finding frequent items in data streams

Proceedings of the VLDB Endowment ◽

10.14778/1454159.1454225 ◽

2008 ◽

Vol 1 (2) ◽

pp. 1530-1541 ◽

Author(s):

Graham Cormode ◽

Marios Hadjieleftheriou

Keyword(s):

Data Streams ◽

Download Full-text

Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14 ◽

10.1145/2661829.2662006 ◽

2014 ◽

Author(s):

Yongsub Lim ◽

Jihoon Choi ◽

U. Kang

Keyword(s):

Data Streams ◽

Download Full-text

A Two-List Framework for Accurate Detection of Frequent Items in Data Streams

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-319-96136-1_19 ◽

2018 ◽

pp. 228-243

Author(s):

David Vengerov

Keyword(s):

Data Streams ◽

Accurate Detection ◽

Download Full-text