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  Browse All Reviews > Information Systems (H) > Database Management (H.2) > Systems (H.2.4)  
 
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  1-10 of 460 Reviews about "Systems (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 is done, if anything, 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
  Graph data management: fundamental issues and recent developments
Fletcher G., Hidders J., Larriba-Pey J., Springer International Publishing, New York, NY, 2018. 186 pp.  Type: Book (978-3-319961-92-7)

Graph databases are now key in supporting semantic web and linked open data, as well as in application domains for software engineering, geographical databases, social networks, telecommunication, bioinformatics, chemistry, and dataset...

Nov 13 2020
  Blurring the lines between blockchains and database systems: the case of hyperledger fabric
Sharma A., Schuhknecht F., Agrawal D., Dittrich J.  SIGMOD 2019 (Proceedings of the 2019 International Conference on Management of Data, Amsterdam, the Netherlands, 105-122, 2019.  Type: Proceedings

In the past decade, we have witnessed the rise of blockchain systems, encouraged by the hype around cryptocurrencies. Blockchain-based systems are capable of storing and sharing information while protecting its integrity--a pr...

Jun 16 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, m...

Nov 21 2019
  Building blockchain projects
Prusty N., Packt Publishing, Birmingham, UK, 2017. 404 pp.  Type: Book (978-1-787122-14-7)

Readers will get a first look at how to access the Ethereum blockchain and working code, as well as how to “do” something with this technology. Unlike Bitcoin, the preceding cryptocurrency, Ethereum can execute arbi...

May 28 2019
  Relational data factorization
Paramonov S., Leeuwen M., Raedt L. Machine Learning 106(12): 1867-1904, 2017.  Type: Article

General methods take advantage of developing frameworks for data mining and machine learning that can be specialized for efficiency according to the problem domain. This paper discusses a declarative modeling method as a form of relati...

Feb 7 2019
  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...

Dec 28 2017
  Dual graph regularized NMF model for social event detection from Flickr data
Yang Z., Li Q., Liu W., Ma Y., Cheng M. World Wide Web 20(5): 995-1015, 2017.  Type: Article

Over time, Flickr has become a very large photo and video repository, claiming more than 13 billion photos available onsite. It sounds logical that many people are beginning to consider it as a treasure trove to explore human society. ...

Nov 7 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;...

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 m...

Jul 5 2017
 
 
 
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