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Search results “Data discretization in data mining pdf documents”
More Data Mining with Weka (2.1: Discretizing numeric attributes)
 
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More Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 1: Discretizing numeric attributes http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/QldvyV https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 21456 WekaMOOC
More Data Mining with Weka (2.3: Discretization in J48)
 
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More Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 3: Discretization in J48 http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/QldvyV https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 9714 WekaMOOC
More Data Mining with Weka (2.2: Supervised discretization and the FilteredClassifier)
 
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More Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 2: Supervised discretization and the FilteredClassifier http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/QldvyV https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 11350 WekaMOOC
Data Mining with Weka (1.5: Using a filter )
 
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Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 5: Using a filter http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/IGzlrn https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 70813 WekaMOOC
Tutorial Sqlmap Windows
 
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Link de descarga python: http://www.python.org/download/ Link de descarga Sqlmap: http://www.mediafire.com/?kr1iy1a9d26cpis Comandos usados: -(Sacar base de datos)- sqlmap.py -u (URL-VULNERABLE) --dbs -(Sacar tablas de base de datos)- sqlmap.py -u (URL-VULNERABLE) -D (NombreBaseDeDatos) --tables -(Sacar columnas de base de datos)- sqlmap.py -u (URL-VULNERABLE) -D (NombreBaseDeDatos) -T (TablaDeUsuarios/Admin/Panel/etc.) --columns -(Sacar usuario/contraseña/informacion de la columna)- sqlmap.py -u (URL-VULNERABLE) -D (NombreBaseDeDatos) -T (TablaDeUsuarios/Admin/Panel/etc.) -C (LoQueHayParaSacar) --dump Esos son los comandos usados anteriormente, Cualquier duda preguntalo en un comentario Porfavor y si te gusto suscribete y tendras mas tutoriales como estos. ---------------------------------------------------------------------------------------- Skype: Rolando.Sanchez25
Views: 17421 Rola Pape
eLICO-demo.mov
 
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This is an early demo of the various e-LICO components working together. It shows the Data mining ontology in Protege and the ePropPlan plugin. The eProPlan plugin is used to extract meta-data about some input data, the eProPlan reasoner is then used to infer a list of applicable data mining operators. In the movie a goal is specified to discretize all columns, eProPlan automatically plans a workflow to achieve this goal. The planned workflow is exported to the Taverna workflow environment. This workflow can now be executed, it uses the RapidMiner web service to call the individual operators. The result is a new file with all the columns discretized. The workflow can then be shared with the community via myExperiment. For more information about the project please visit http://www.e-lico.eu/
Views: 1013 juppmanchester
Data Mining with Weka (1.3: Exploring datasets)
 
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Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 3: Exploring datasets http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/IGzlrn https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 82806 WekaMOOC
More Data Mining with Weka (2.4: Document classification)
 
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More Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 4: Document classification http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/QldvyV https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 8068 WekaMOOC
Data Mining with Weka (2.1: Be a classifier!)
 
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Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 1: Be a classifier! http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/D3ZVf8 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 56869 WekaMOOC
Advanced Data Mining with Weka (2.5: Classifying tweets)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 5: Classifying tweets http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/4vZhuc https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 4357 WekaMOOC
More Data Mining with Weka (1.6: Working with big data)
 
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More Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 6: Working with big data http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/Le602g https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 10562 WekaMOOC
Advanced Data Mining with Weka (1.2: Linear regression with lags)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 2: Linear regression with lags http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/JyCK84 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 8841 WekaMOOC
Data Mining with Weka (4.1: Classification boundaries)
 
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Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 1: Classification boundaries http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/augc8F https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 26596 WekaMOOC
More Data Mining with Weka (3.2: Generating decision rules)
 
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More Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 2: Generating decision rules http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/nK6fTv https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 6465 WekaMOOC
Data Mining with Weka (3.6: Nearest neighbor)
 
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Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 6: Nearest neighbor http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/YjZnrh https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 47786 WekaMOOC
Data Mining with Weka (1.4: Building a classifier)
 
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Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 4: Building a classifier http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/IGzlrn https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 83954 WekaMOOC
Advanced Data Mining with Weka (3.3: Using R to plot data)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 3: Using R to plot data http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/8yXNiM https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 4164 WekaMOOC
Association Rule Mining in R
 
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This video is using Titanic data file that's embedded in R (see here: https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/Titanic.html). You can find both the data and the code here: https://github.com/A01203249/YouTube-Videos.git. Use git clone to clone this repo locally and use the code.
Views: 50492 Ani Aghababyan
More Data Mining with Weka (4.6: Cost-sensitive classification vs. cost-sensitive learning)
 
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More Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 6: Cost-sensitive classification vs. cost-sensitive learning http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/I4rRDE https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 8622 WekaMOOC
More Data Mining with Weka (4.2: The Attribute Selected Classifier)
 
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More Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 2: The Attribute Selected Classifier http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/I4rRDE https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 12080 WekaMOOC
More Data Mining with Weka (1.1: Introduction)
 
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More Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 1: Introduction http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/Le602g https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 16458 WekaMOOC
Data Mining with Weka (2.4: Baseline accuracy)
 
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Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 4: Baseline accuracy http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/D3ZVf8 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 36902 WekaMOOC
More Data Mining with Weka (1.4: The Knowledge Flow interface)
 
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More Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 4: The Knowledge Flow interface http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/Le602g https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 15086 WekaMOOC
More Data Mining with Weka (4.3: Scheme-independent attribute selection)
 
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More Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 3: Scheme-independent attribute selection http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/I4rRDE https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 6249 WekaMOOC
Document Similarity and Clustering in RapidMiner
 
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This is part 4 of a 5 part video series on Text Mining using the free and open-source RapidMiner. This video describes how to calculate a term's TF-IDF score, as well as how to find similar documents using cosine similarity, and how to cluster documents using the K-Means algorithm.
Views: 48900 el chief
Robust Document Image Binarization Technique degraded Document|final year java project bangalore
 
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More Data Mining with Weka (3.5: Representing clusters)
 
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More Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 5: Representing clusters http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/nK6fTv https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 52911 WekaMOOC
More Data Mining with Weka (3.1: Decision trees and rules)
 
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More Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 1: Decision trees and rules http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/nK6fTv https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 10593 WekaMOOC
From Data to Knowledge - 305 - Alexis Bondu
 
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Slides: http://lyra.berkeley.edu/CDIConf/pdfs/Bondu-BERKELEY-PDF.pdf Alexis Bondu: "A Supervised Approach for Change Detection in Data Streams". A video from the UC Berkeley Conference: From Data to Knowledge: Machine-Learning with Real-time and Streaming Applications (May 7-11, 2012). Abstract Alexis Bondu (Electricite de France R&D) In recent years, the amount of data to process has increased in many application areas such as network monitoring, web click and sensor data analysis. Data stream mining answers to the challenge of massive data processing, this paradigm allows for treating pieces of data on the fly and overcomes exhaustive data storage. The detection of changes in a data stream distribution is an important issue which application area is wide. In this article, change detection problem is turned into a supervised learning task. We chose to exploit the supervised discretization method "MODL" given its interesting properties. Our approach is favorably compared with an alternative method on artificial data streams, and is applied on real data streams.
Views: 176 ckleinastro
Advanced Data Mining with Weka (2.3: The MOA interface)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 3: The MOA interface http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/4vZhuc https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 3883 WekaMOOC
Weka Tutorial 31: Document Classification 1 (Application)
 
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This tutorial demonstrates the use of an unsupervised attribute filter called StringtoWordVector. This filter converts the strings (texts) of your document into a vector of words. Then using the word vectors, you can develop a classification model. The next tutorial shows the actual work involved in document classification
Views: 27277 Rushdi Shams
More Data Mining with Weka (2.5: Evaluating 2‐class classification)
 
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More Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 5: Evaluating 2‐class classification http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/QldvyV https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 7512 WekaMOOC
More Data Mining with Weka (5.3: Learning curves)
 
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More Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 3: Learning curves http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/rDuMqu https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 7766 WekaMOOC
More Data Mining with Weka (2.6: Multinomial Naïve Bayes)
 
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More Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 6: Multinomial Naïve Bayes http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/QldvyV https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 20245 WekaMOOC
More Data Mining with Weka (1.3: Comparing classifiers)
 
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More Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 3: Comparing classifiers http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/Le602g https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 17425 WekaMOOC
More Data Mining with Weka (1.2: Exploring the Experimenter)
 
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More Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 2: Exploring the Experimenter http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/Le602g https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 18819 WekaMOOC
Weka Tutorial 02: Data Preprocessing 101 (Data Preprocessing)
 
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This tutorial demonstrates various preprocessing options in Weka. However, details about data preprocessing will be covered in the upcoming tutorials.
Views: 173884 Rushdi Shams
More Data Mining with Weka (1.5: The Command Line interface)
 
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More Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 5: The Command Line interface http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/Le602g https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 10287 WekaMOOC
Advanced Data Mining with Weka (3.4: Using R to run a classifier)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 4: Using R to run a classifier http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/8yXNiM https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2980 WekaMOOC
Image Reconstruction From Double Random Projection
 
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Image Reconstruction From Double Random Projection +91-9994232214,8144199666, [email protected], www.projectsieee.com, www.ieee-projects-chennai.com IEEE PROJECTS 2014 ----------------------------------- Contact:+91-9994232214,+91-8144199666 Email:[email protected] http://ieee.projectsieee.com/Cloud-Computing http://ieee.projectsieee.com/Data-Mining http://ieee.projectsieee.com/Android http://ieee.projectsieee.com/Image-Processing http://ieee.projectsieee.com/Networking http://ieee.projectsieee.com/Network-Security http://ieee.projectsieee.com/Mobile-Computing http://ieee.projectsieee.com/Parallel-Distributed http://ieee.projectsieee.com/Wireless-Communication http://ieee.projectsieee.com/NS2-Projects http://ieee.projectsieee.com/Matlab Support: ------------- Projects Code Documentation PPT Projects Video File Projects Explanation Teamviewer Support
Views: 245 PROJECTS2014
Document Classification in Weka
 
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A couple ways to do document classification in Weka. Data was taken from Trump's tweets, which you can find (with device info) at http://www.trumptwitterarchive.com/archive
Views: 2089 jengolbeck
More Data Mining with Weka (5.6: Summary)
 
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More Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 6: Summary http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/rDuMqu https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 3403 WekaMOOC
More Data Mining with Weka (5.5: ARFF and XRFF)
 
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More Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 5: ARFF and XRFF http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/rDuMqu https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 4071 WekaMOOC
More Data Mining with Weka (4.4: Fast attribute selection using ranking)
 
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More Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 4: Fast attribute selection using ranking http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/I4rRDE https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 17038 WekaMOOC
Knowledge Flow Application  in Weka
 
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Recorded with http://screencast-o-matic.com
Views: 1212 nitin ujgare
Weka Tutorial 10: Feature Selection with Filter (Data Dimensionality)
 
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This tutorial shows how to select features from a set of features that performs best with a classification algorithm using filter method.
Views: 69296 Rushdi Shams
The OneR Classifier .. What it is and How it Works
 
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My web page: www.imperial.ac.uk/people/n.sadawi
Views: 31555 Noureddin Sadawi
NaiveBayes example
 
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Simple example of the Naive Bayes classification algorithm
Views: 135229 Francisco Iacobelli