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Decision Tree 1: how it works
 
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Full lecture: http://bit.ly/D-Tree A Decision Tree recursively splits training data into subsets based on the value of a single attribute. Each split corresponds to a node in the. Splitting stops when every subset is pure (all elements belong to a single class) -- this can always be achieved, unless there are duplicate training examples with different classes.
Views: 483883 Victor Lavrenko
decision tree example(ID3)
 
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Download this sum PDF from link below http://britsol.blogspot.in/2017/10/decision-tree-algorithm-pdf.html?m=1 book name: techmax publications datawarehousing and mining by arti deshpande n pallavi halarnkar
Views: 57019 fun 2 code
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: 53986 WekaMOOC
Decision Tree Classification in R
 
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This video covers how you can can use rpart library in R to build decision trees for classification. The video provides a brief overview of decision tree and the shows a demo of using rpart to create decision tree models, visualise it and predict using the decision tree model
Views: 72277 Melvin L
Data Mining with Weka (1.1: Introduction)
 
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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/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: 121973 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: 2613 WekaMOOC
Advanced Data Mining with Weka (4.6: Application: Image classification)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 6: Application: Image classification http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/msswhT https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 7425 WekaMOOC
Data Mining with Weka (2.5: Cross-validation)
 
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Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 5: Cross-validation 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: 39016 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: 3629 WekaMOOC
Data Mining with Weka (3.1: Simplicity first!)
 
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Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 1: Simplicity first! http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/1LRgAI https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 28984 WekaMOOC
Data Mining Lecture -- Bayesian Classification | Naive Bayes Classifier | Solved Example (Eng-Hindi)
 
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In the bayesian classification The final ans doesn't matter in the calculation Because there is no need of value for the decision you have to simply identify which one is greater and therefore you can find the final result. -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~-
Views: 153522 Well Academy
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: 15706 WekaMOOC
How to predict students' performance?
 
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Talk presented at SSCI2014, in Orlando. Download paper from: http://personal.ee.surrey.ac.uk/Personal/Norman.Poh/data/poh_gradcert.pdf Abstract: Student performance depends upon factors other than intrinsic ability, such as environment, socio-economic status, personality and familial-context. Capturing these patterns of influence may enable an educator to ameliorate some of these factors, or for governments to adjust social policy accordingly. In order to understand these factors, we have undertaken the exercise of predicting student performance, using a cohort of approximately 8,000 South African college students. They all took a number of tests in English and Maths. We show that it is possible to predict English comprehension test results from (1) other test results; (2) from covariates about self-efficacy, social economic status, and specific learning difficulties there are 100 survey questions altogether; (3) from other test results + covariates (combination of (1) and (2)); and from (4) a more advanced model similar to (3) except that the covariates are subject to dimensionality reduction (via PCA). Models 1-4 can predict student performance up to a standard error of 13-15%. In comparison, a random guess would have a standard error of 17%. In short, it is possible to conditionally predict student performance based on self-efficacy, socio-economic background, learning difficulties, and related academic test results.
Views: 5693 Norman Poh
Testing and Training of Data Set Using Weka
 
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how to train and test data in weka data mining using csv file
Views: 12553 Tutorial Spot
Data Mining with Weka (3.2: Overfitting)
 
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Data Mining with Weka: online course from the University of Waikato Class X - Lesson X: Overfitting http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/1LRgAI https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 26560 WekaMOOC
Data Mining with Weka (1.2: Exploring the Explorer)
 
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Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 2: Exploring the Explorer 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: 89380 WekaMOOC
Advanced Data Mining with Weka (4.3: Using Naive Bayes and JRip)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 3: Using Naive Bayes and JRip http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/msswhT https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 3949 WekaMOOC
Run decision tree induction (J48) on the Mushroom data set using WEKA-- tutorial
 
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Step by step to show you how to run decision tree induction (J48) on the Mushroom data set, in the Classify tab. Download WEKA from https://www.cs.waikato.ac.nz/ml/weka/downloading.html Download mushroom dataset from https://github.com/renatopp/arff-datasets/blob/master/classification/mushroom.arff
Views: 402 熊志强
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: 44678 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: 17648 WekaMOOC
Data Mining with Weka (4.4: Logistic regression)
 
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Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 4: Logistic regression 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: 31872 WekaMOOC
Data Mining with Weka (3.3: Using probabilities)
 
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Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 3: Using probabilities http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/1LRgAI https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 26501 WekaMOOC
Weka Data Mining Tutorial for First Time & Beginner Users
 
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23-minute beginner-friendly introduction to data mining with WEKA. Examples of algorithms to get you started with WEKA: logistic regression, decision tree, neural network and support vector machine. Update 7/20/2018: I put data files in .ARFF here http://pastebin.com/Ea55rc3j and in .CSV here http://pastebin.com/4sG90tTu Sorry uploading the data file took so long...it was on an old laptop.
Views: 442871 Brandon Weinberg
Decision Tree Analysis in R Example Tutorial
 
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Click here to download the example data set fitnessAppLog.csv: https://drive.google.com/open?id=0Bz9Gf6y-6XtTczZ2WnhIWHJpRHc
Views: 9169 The Data Science Show
More Data Mining with Weka (3.4: Learning association rules)
 
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More Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 4: Learning association 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: 12917 WekaMOOC
Data Mining with Weka (4.5: Support vector machines)
 
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Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 5: Support vector machines 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: 44179 WekaMOOC
Data Tools Forum: R and R Studio Part 2
 
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Daina Bouquin & Zac Painter Data Tools Forum, November 20, 2015 UMass Medical School Data Tools Forum: R and R Studio: Data Wrangling
WEKA ZeugnisManager (Generator)
 
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Mit dieser Software erstellen Sie schnell und sicher individuelle Arbeitszeugnisse in Deutsch, Englisch und Französisch. Weitere Infos unter http://wekaservices.ch/ZeugnisManager
Views: 711 Sabine Zumach
الدرس الأول - تعلم إستخدام ويكا للتنقيب عن البيانات
 
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الدرس الأول يشرح محتويات الواجهـــــــــــــــــــــــة الرئيسية لبرنامج Weka
Views: 20690 Ibrahim Musa
Multimedia Answering: Enriching Text QA with Media Information
 
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Existing community question-answering forums usually provide only textual answers. For many questions, however, pure text cannot provide intuitive information as this is better conveyed through image or video. In this invention a scheme to enrich text answers with image and video is introduced. Given a question and the community-contributed answer, this method utilizes several techniques to enrich textual answers like question/answer classification, query generation, image and video search reranking, etc. Different from some efforts that attempt to directly answer questions with image and video data, this method leverages community-contributed textual answers and thus is able to deal more effectively with more complex questions.
Views: 1185 jz00hj
Weka Part A
 
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Το λογισμικό μηχανικής μάθησης WEKA - Part A Το βίντεο αυτό, είναι μια μικρή παρουσίαση του λογισμικού μηχανικής μάθησης WEKA, το οποίο αναπτύχθηκε στα πλαίσια του μαθήματος Τεχνητής Νοημοσύνης. Η παρουσίαση συμπεριλαμβάνει : γενικές πληροφορίες, πλεονεκτήματα και εκδόσεις για το WEKA, μία σύντομη περιγραφή του γραφικού περιβάλλοντος του WEKA,πηροφορίες για τις μεθόδους κατηγοριοποίησης, τη μορφή δεδομένων στο WEKA και τα ARFF αρχεία. Επίσης υπάρχει ένα μικρό παράδειγμα χρήσης μέσω της πλατφόρμας του WEKΑ. Το βίντεο που αναπτύξαμε βρίσκετε στον πιο κάτω σύνδεσμο : http://dl.dropbox.com/u/21154685/WEKA.avi Μαρία Ανδρέου Χριστίνα Γεωργίου Πανεπιστήμιο Κύπρου, 2012 References: http://www.cs.waikato.ac.nz/ml/weka/ http://en.wikipedia.org/wiki/Weka_(machine_learning) http://mestrado.deinfo.uepg.br/mestrado/docs/WittenFrank.pdf http://www.dfki.de/~kipp/seminar_ws0607/slides/Dimov_WEKA.pdf
Views: 512 ucyepl341
How to extract text of an entire website - site2txt
 
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The free and easy way to get a text only version of a website
Views: 411 site2txt
More Data Mining with Weka (5.1: Simple neural networks)
 
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More Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 1: Simple neural networks 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: 22057 WekaMOOC
Diagnosis of Lung Cancer Prediction System Using Data Mining Classification Techniques
 
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Views: 6099 Clickmyproject
Advanced Data Mining with Weka (5.2: Building models)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 2: Building models http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/7XXl63 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2176 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: 10029 WekaMOOC
Weka 3 data mining java tool - Tutorial 01 (download, install, and test run)
 
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http://www.zaneacademy.com | download source code @ http://sites.fastspring.com/zaneacademy/product/all | Download, install, & test run Weka 3 data mining java tool
Views: 13616 zaneacademy
Naive Bayes Classifier in R
 
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Implementation of Naive Bayes Classifier in R using dataset mushroom from the UCI repository. You may wanna add pakages e1071 and rminer in R because they were not present in R x64 3.3.1 by default. Music - Daft Punk - Instant Crush ft. Julian Casblancas
Advanced Data Mining with Weka (5.5: A challenge, and some Groovy)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 5: A challenge, and some Groovy http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/7XXl63 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 1123 WekaMOOC
Advanced Data Mining with Weka (3.2: Setting up R with Weka)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 2: Setting up R with Weka 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: 6165 WekaMOOC
Klassify - The Data Classification toolkit
 
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Klassify is the Data classification tool which helps user to classify the unstructured data like Microsoft Word , Excel , Powerpoint and Aobe PDF.
Views: 1965 Vishal Bindra
Advanced Data Mining with Weka (5.1: Invoking Python from Weka)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 1: Invoking Python from Weka http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/7XXl63 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 4278 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: 3800 WekaMOOC
Advanced Data Mining with Weka (3.1: LibSVM and LibLINEAR)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 1: LibSVM and LibLINEAR 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: 5740 WekaMOOC
Advanced Data Mining with Weka (5.4: Invoking Weka from Python)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 4: Invoking Weka from Python http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/7XXl63 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2934 WekaMOOC
Advanced Data Mining with Weka (1.6: Application: Infrared data from soil samples)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 6: Infrared data from soil samples 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: 1974 WekaMOOC

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