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Brno University of Technology

1. Dvořák, Michal. Získávání frekventovaných vzorů z proudu dat: Frequent Pattern Discovery in a Data Stream.

Degree: 2020, Brno University of Technology

Frequent-pattern mining from databases has been widely studied and frequently observed. Unfortunately, these algorithms are not suitable for data stream processing. In frequent-pattern mining from data streams, it is important to manage sets of items and also their history. There are several reasons for this; it is not just the history of frequent items, but also the history of potentially frequent sets that can become frequent later. This requires more memory and computational power. This thesis describes two algorithms: Lossy Counting and FP-stream. An effective implementation of these algorithms in C# is an integral part of this thesis. In addition, the two algorithms have been compared.  Advisors/Committee Members: Zendulka, Jaroslav (advisor), Hlosta, Martin (referee).

Subjects/Keywords: Získávání znalostí z proudu dat; získávání frekventovaných vzorů z proudu dat; frekventované množiny; podpora; Lossy Counting; FP-growth; FP-strom; FP-stream; tilted-time window.; Knowledge discovery in a data stream; frequent pattern discovery in data streams; frequent patterns; support; Lossy Counting; FP-growth; FP-tree; FP-stream; tilted-time window.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dvořák, M. (2020). Získávání frekventovaných vzorů z proudu dat: Frequent Pattern Discovery in a Data Stream. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190126

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dvořák, Michal. “Získávání frekventovaných vzorů z proudu dat: Frequent Pattern Discovery in a Data Stream.” 2020. Thesis, Brno University of Technology. Accessed August 11, 2020. http://hdl.handle.net/11012/190126.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dvořák, Michal. “Získávání frekventovaných vzorů z proudu dat: Frequent Pattern Discovery in a Data Stream.” 2020. Web. 11 Aug 2020.

Vancouver:

Dvořák M. Získávání frekventovaných vzorů z proudu dat: Frequent Pattern Discovery in a Data Stream. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/11012/190126.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dvořák M. Získávání frekventovaných vzorů z proudu dat: Frequent Pattern Discovery in a Data Stream. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190126

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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