Elastic-PPQ: A two-level autonomic system for spatial preference query processing over dynamic data streams

Future Generation Computer Systems ◽

10.1016/j.future.2017.09.004 ◽

2018 ◽

Vol 79 ◽

pp. 862-877 ◽

Cited By ~ 13

Author(s):

Gabriele Mencagli ◽

Massimo Torquati ◽

Marco Danelutto

Keyword(s):

Query Processing ◽

Data Streams ◽

Autonomic System ◽

Dynamic Data ◽

Spatial Preference ◽

Preference Query

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Probabilistic Skyline Query Processing over Uncertain Data Streams in Edge Computing Environments

GLOBECOM 2020 - 2020 IEEE Global Communications Conference ◽

10.1109/globecom42002.2020.9348055 ◽

2020 ◽

Author(s):

Chuan-Chi Lai ◽

Yan-Lin Chen ◽

Chuan-Ming Liu ◽

Li-Chun Wang

Keyword(s):

Query Processing ◽

Data Streams ◽

Uncertain Data ◽

Edge Computing ◽

Skyline Query ◽

Uncertain Data Streams ◽

Skyline Query Processing ◽

Computing Environments ◽

Probabilistic Skyline

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

Distributed and Parallel Databases ◽

10.1007/s10619-015-7187-9 ◽

2015 ◽

Vol 34 (4) ◽

pp. 535-566 ◽

Cited By ~ 6

Author(s):

Daichi Amagata ◽

Takahiro Hara ◽

Shojiro Nishio

Keyword(s):

Query Processing ◽

Data Streams ◽

Sliding Window ◽

Distributed Data ◽

Distributed Data Streams

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Distinct element counting in distributed dynamic data streams

2015 IEEE Conference on Computer Communications (INFOCOM) ◽

10.1109/infocom.2015.7218625 ◽

2015 ◽

Cited By ~ 1

Author(s):

Wenji Chen ◽

Yong Guan

Keyword(s):

Data Streams ◽

Distinct Element ◽

Dynamic Data

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Co-clustering over multiple dynamic data streams based on non-negative matrix factorization

Applied Intelligence ◽

10.1007/s10489-014-0526-0 ◽

2014 ◽

Vol 41 (2) ◽

pp. 487-502 ◽

Cited By ~ 4

Author(s):

Chun-Yan Sang ◽

Di-Hua Sun

Keyword(s):

Data Streams ◽

Matrix Factorization ◽

Dynamic Data ◽

Non Negative Matrix Factorization

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SPEAR: Dynamic Spatio-Temporal Query Processing over High Velocity Data Streams

2021 IEEE 37th International Conference on Data Engineering (ICDE) ◽

10.1109/icde51399.2021.00237 ◽

2021 ◽

Author(s):

Furqan Baig ◽

Dejun Teng ◽

Jun Kong ◽

Fusheng Wang

Keyword(s):

Query Processing ◽

Data Streams ◽

High Velocity ◽

Velocity Data ◽

Temporal Query ◽

Spatio Temporal

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Efficient Access Control for Secure XML Query Processing in Data Streams

Critical Information Infrastructures Security - Lecture Notes in Computer Science ◽

10.1007/978-3-540-89173-4_14 ◽

2008 ◽

pp. 161-172 ◽

Cited By ~ 2

Author(s):

Dong Chan An ◽

Seog Park

Keyword(s):

Access Control ◽

Query Processing ◽

Data Streams ◽

Xml Query Processing ◽

Efficient Access

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Classification in Dynamic Data Streams with a Scarcity of Labels

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2021.3135755 ◽

2021 ◽

pp. 1-1

Author(s):

Conor Fahy ◽

Shengxiang Yang ◽

Mario Gongora

Keyword(s):

Data Streams ◽

Dynamic Data

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Approximate OLAP Query Processing over Uncertain and Imprecise Multidimensional Data Streams

Lecture Notes in Computer Science - Database and Expert Systems Applications ◽

10.1007/978-3-642-40173-2_15 ◽

2013 ◽

pp. 156-173 ◽

Cited By ~ 4

Author(s):

Alfredo Cuzzocrea

Keyword(s):

Query Processing ◽

Data Streams ◽

Multidimensional Data

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Continuous and Progressive XML Query Processing and its Applications

Open and Novel Issues in XML Database Applications ◽

10.4018/978-1-60566-308-1.ch009 ◽

2010 ◽

pp. 181-197

Author(s):

Stéphane Bressan ◽

Wee Hyong Tok ◽

Xue Zhao

Keyword(s):

Query Processing ◽

Data Streams ◽

Ad Hoc ◽

Data Representation ◽

Future Trends ◽

Xml Query Processing ◽

Processing Techniques ◽

Xml Technologies ◽

State Of Art ◽

Open Issues

Since XML technologies have become a standard for data representation, a great amount of discussion has been generated by the persisting open issues and their possible solutions. In this chapter, the authors consider the design space for XML query processing techniques that can handle ad hoc and continuous XPath or XQuery queries over XML data streams. This chapter presents the state-of-art techniques in continuous and progressive XML query processing. They also discuss several open issues and future trends.

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Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams

IEEE Transactions on Big Data ◽

10.1109/tbdata.2019.2922969 ◽

2019 ◽

pp. 1-1 ◽

Cited By ~ 2

Author(s):

Conor Fahy ◽

Shengxiang Yang

Keyword(s):

Data Streams ◽

Dynamic Data

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