Waikato Environment for Knowledge Analysis
Data Mining Tool
(Sprache: Englisch)
The Weka GUI Chooser (class weka.gui.GUIChooser) provides a starting point for launching Weka's main GUI applications and supporting tools. If one prefers a MDI ("multiple document interface") appearance, then this is provided by an alternative launcher...
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The Weka GUI Chooser (class weka.gui.GUIChooser) provides a starting point for launching Weka's main GUI applications and supporting tools. If one prefers a MDI ("multiple document interface") appearance, then this is provided by an alternative launcher called "Main" (class weka.gui.Main). The GUI Chooser consists of four buttons-one for each of the four major Weka applications-and four menus - Explorer An environment for exploring data with WEKA (the rest of this documentation deals with this application in more detail). - Experimenter An environment for performing experiments and conduct ing statistical tests between learning schemes. - KnowledgeFlow This environment supports essentially the same functions as the Explorer but with a drag-and-drop interface. One advantage is that it supports incremental learning. - SimpleCLI Provides a simple command-line interface that allows direct execution of WEKA commands for operating systems that do not provide their own command line interface.
Autoren-Porträt von Raja Srinivasa Reddy Boddu, Srinivas Kalyanapu
Boddu, Raja Srinivasa ReddyDr. B. Raja Srinivasa Reddy, received his Ph.D in Computer Science&Engineering from ANU. He is currently working as Prof. in the dept of CSE, Sri Vasavi Institute Of Engineering & Technology, and he is currently supervising 5 Ph.D students who are working in different areas. He published 30 papers in international conferences and journals.
Bibliographische Angaben
- Autoren: Raja Srinivasa Reddy Boddu , Srinivas Kalyanapu
- 2019, 184 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200252963
- ISBN-13: 9786200252968
Sprache:
Englisch
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