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  Browse All Reviews > Information Systems (H) > Database Management (H.2) > Systems (H.2.4) > Query Processing (H.2.4...)  
  1-10 of 286 Reviews about "Query Processing (H.2.4...)": Date Reviewed
  Web log analysis: a review of a decade of studies about information acquisition, inspection and interpretation of user interaction
Agosti M., Crivellari F., Di Nunzio G.  Data Mining and Knowledge Discovery 24(3): 663-696, 2020. Type: Article

We are all aware that computer systems log user activity. Exactly what, if anything, is done with these logs is less clear. In this paper, Agosti et al. review log analysis research over the past ten years to trace the state of the art in analyzin...

Jan 11 2022
  RDF multi-query optimization algorithm for query rewriting using common subgraphs
Wang M., Fu H., Xu F.  CSAE 2019 (Proceedings of the 3rd International Conference on Computer Science and Application Engineering, Sanya, China,  Oct 22-24, 2019) 1-8, 2019. Type: Proceedings

Resource description framework (RDF) is a data representation standard for loosely structured data that can be used to represent large datasets that arise in applications such as social networks. The challenge of searching and analyzing this data ...

Aug 17 2020
  Querying graphs
Bonifati A., Fletcher G., Voigt H., Yakovets N.,  Morgan&Claypool Publishers, San Rafael, CA, 2018. 184 pp. Type: Book (978-1-681734-30-9)

Graph data management (GDM) has become an increasingly important discipline, both in academia and in industry. One reason is that graph data has been ubiquitously created, collected, and released for analysis and learning. Every day, massive amoun...

Nov 21 2019
  The xLiMe system: cross-lingual and cross-modal semantic annotation, search and recommendation over live-TV, news and social media streams
 Journal of Web Semantics 46(C): 20-30, 2017. Type: Article

The xLiMe system is a “cross-lingual and cross-modal semantic annotation, search, and recommendation” system. It can support data from social media, news, and TV with up to 13 different languages, although currently it works with news ...

May 31 2018
  Spatial network big databases: queries and storage methods
Yang K., Shekhar S.,  Springer International Publishing, New York, NY, 2017. 101 pp. Type: Book (978-3-319566-56-6)

Spatial network big data (SNBD) can be widely found in every corner of modern society. Examples include temporally detailed road maps that provide car speeds every minute for every road segment and GPS trace data from our cell phones. SNBD feature...

Jan 4 2018
  Waves: a fast multi-tier top-k query processing algorithm
Daoud C., Silva de Moura E., Fernandes D., Soares da Silva A., Rossi C., Carvalho A.  Information Retrieval 20(3): 292-316, 2017. Type: Article

Daoud and colleagues propose and demonstrate the effectiveness of their innovative waves algorithm, a fast multitier top-k query processing algorithm. In the waves algorithm, the entire document collection is divided into disjoi...

Dec 28 2017
  Decomposing federated queries in presence of replicated fragments
Montoya G., Skaf-Molli H., Molli P., Vidal M.  Journal of Web Semantics 42 1-18, 2017. Type: Article

Linked data means that data stored in heterogeneous and autonomous information sources can be integrated, making the information more valuable than what could be obtained from isolated sources. Aggregation of related data offers value; it can prov...

Oct 25 2017
  Cost effective storage space for data cubes
Łatuszko M.  Journal of Intelligent Information Systems 48(2): 243-261, 2017. Type: Article

There are many obstacles in the world of optimizing data cube-oriented materialized views, and various issues should be considered in a big data environment. Łatuszko is here with a new approach. Contrary to research on view materialization d...

Jul 5 2017
  MySQL for the Internet of Things
Bell C.,  Apress, New York, NY, 2016. 335 pp. Type: Book (978-1-484212-94-3), Reviews: (2 of 2)

What if anything you touch generates data that needs to be monitored, stored, and potentially curated? How could you process the data, and what format should it be in? With the advent of the Internet of Things (IoT), this scenario has become reali...

Mar 27 2017
   Shasta: interactive reporting at scale
Manoharan G., Ellner S., Schnaitter K., Chegu S., Estrella-Balderrama A., Gudmundson S., Gupta A., Handy B., Samwel B., Whipkey C., Aharkava L., Apte H., Gangahar N., Xu J., Venkataraman S., Agrawal D., Ullman J.  SIGMOD 2016 (Proceedings of the 2016 International Conference on Management of Data, San Francisco, CA,  Jun 26-Jul 1, 2016) 1393-1404, 2016. Type: Proceedings

The evolution of technology is like a slow dance in which most steps are in place, but a few move forward. Motivated by increases of scale and efficiency, applications push the limits of technology and contribute to its advance. This paper present...

Nov 30 2016
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