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Weka (z angl. Waikato Environment for Knowledge Analysis, waikatské prostředí pro analýzu znalostí) je populární balík programů strojového učení napsaný v Javě, vyvinutý na University of Waikato, Nový Zéland. Weka je svobodný software dostupný podle GNU General Public License.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Weka.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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The extracted context around Weka shows recurring relationship patterns in the source. For example, Weka → 3.8.3 (4. 9. 2018) Another extracted example is Weka → GNU General Public License. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
waikato datové datasetem uci učení university of gnu general public license javě analýzu oknem exploreru otevřeným iris položky popis arff
TTTA extracted 8 structured relationships around Weka. Examples in this analysis include Weka → Aktuální verze → 3.8.3 (4. 9. 2018) and Weka → Licence → GNU General Public License. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Weka | Aktuální verze | 3.8.3 (4. 9. 2018) | 1.00 | infobox |
| Weka | Licence | GNU General Public License | 1.00 | infobox |
| Weka | Operační systém | multiplatformní | 1.00 | infobox |
| Weka | Platforma | Java Virtual Machine | 1.00 | infobox |
| Weka | Typ softwaru | strojové učení | 1.00 | infobox |
| Weka | Vyvíjeno v | Java | 1.00 | infobox |
| Weka | Vývojář | University of Waikato | 1.00 | infobox |
| Weka | Web | http://www.cs.waikato.ac.nz/~ml/weka/ | 1.00 | infobox |
The concept neighborhoods around Weka bring nearby vocabulary together. In this analysis, examples include Datasetem, Exploreru and General. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Weka, one of the stronger structural bridges in this analysis connects Weka with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Weka to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Weka · CS edition · Analysis: TopicsToTalkAbout
