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: 471161
Brandon Weinberg

In this video, I'll guide you how to use WEKA software for preprocessing, classifying, clustering, association. WEKA is a collection of machine learning algorithms for performing data mining tasks. #RanjiRaj #WEKA #DataMining
Follow me on Instagram 👉 https://www.instagram.com/reng_army/
Visit my Profile 👉 https://www.linkedin.com/in/reng99/
Support my work on Patreon 👉 https://www.patreon.com/ranjiraj
Get WEKA from here :
http://www.cs.waikato.ac.nz/ml/weka/

Views: 20860
Ranji Raj

This is a tutorial video on how to use Weka for basic Data Mining opertaions.

Views: 246
Sachin's Tech Corner

this video is about to pre-process data in weka data mining tool.
#datamining
#weka
#preprocessing
Data mining tutorial
Weka tutorial
Data mining in hindi

Views: 2395
yaachana bhawsar

I am sorry for my poor english. I hope it helps you. when i take the data mining course, i had searched it but i couldnt. So i decided to share this video with you.

Views: 25583
Web Educator

Views: 58682
Dileep Kumar G

In this tutorial, classification using Weka Explorer is demonstrated. This is the very basic tutorial where a simple classifier is applied on a dataset in a 10 Fold CV. For more variations of classification, watch out other tutorials on this channel.

Views: 160315
Rushdi Shams

Video ini berisi tutorial penggunaan WeKa untuk Data Mining menggunakan metode Klasifikasi

Views: 9625
Adam Mukharil Bachtiar

This video demonstrate apriori algorithm for association rule mining in weka data mining tool
#datamining
#apriori
#association
Data mining tutorial
Weka tutorial
Data mining in hindi
Weka tutorial in hindi

Views: 1132
yaachana bhawsar

This video is made as a part of Digital Assignment number 2 of Data Mining Course (CSE3019) in Vellore Institute of Technology, Vellore.
Name: Deep Baldha
Registration No.: 16BCE0421

Views: 2463
Deep Baldha

This video cover Introduction to Weka: A Data Mining Tool. This tool is open source, freely available, very light and Java based. It can be used to apply data mining algorithms very easily by using simple GUI.

Views: 6172
Parteek Bhatia: Simplifying Computer Education

Contact Best Phd Projects
Visit us: http://www.phdprojects.org/
http://www.phdprojects.org/international-journals-computer-science-engineering/

Views: 226
PHD PROJECTS

WEKA Data Mining Tutorial for First Timers

Views: 80
Timothy Kipkirui

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: 83897
WekaMOOC

Weka tool is an open source machine learning tool. It is also one of the best tools for data mining, deep learning, and Artifical Intelligence. This weka tutorial covers the basic concepts of machine learning using weka tool and by using Simple KMeans Algorithm on a weather data with total 14 records. simple k means algorithm is a very popular algorithm to divide data into the best possible clusters. Weka in Hindi. Clustering in weka tool in the Hindi language.
With the weka tool, you can perform the following
1- Data Pre-processing
2- Classification of data
3- Clustering of data
4- Regression
5- Association rules generation
6- Visualization of data
weka tool is based on machine learning algorithms. This weka tutorial for beginners will cover the basic concepts. This video is for people looking for weka tool tutorial in hindi, weka tool introduction and weka tool installation. Find this weka tool for data mining in hindi language by searching k means clustering in Hindi or k means algorithm in hindi. k means clustering algorithm in hindi and Weka tool tutorial shows you clustering data mining on weka tool for machine learning and data mining or data clustering.
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Clustering in weka tool is one of the most commonly used features of weka tool. How to use WEKA software for data mining tasks is explained in this video. Introduction to Weka and weka tutorial on clusters using simple k means algorithm in Urdu / Hindi in the main aim of this video lecture. Weka Tutorial for Non-Technical People - Simple K-Means Clustering Algorithm and weka data processing how to Apply J48 ALGORITHM are a part of this lecture which will aids into Tutorial on K Means Clustering using Weka, apriori algorithm in WEKA, Linear Regression Example in Weka : Weka Tutorias 4, weka tool tutorial, Simple K-Means using WEKA, Weka Tutorial-Association Rule Mining, Apriori and FP-Growth algorithm implementation using weka explorer, Weka Tutorial Unsupervised Learning (Simple K-Means Clustering), Weka Tool Tutorial In Hindi, How to add algorithm to weka, weka tutorial in hindi, weka tutorial for beginners in hindi must watch this video to easily understan the concept of weka tutorial and weka tool for data mining. Weka clustering tutorial is one of the growing trend in the field of machine learning and also in deep learning how to use weka, weka software in hindi, k means clustering, weka classification tutorial.
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Views: 717
FSCTECH

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: 128915
WekaMOOC

Tutorial for understanding and using of weka for data mining

Views: 22500
harsh patwari

59-minute beginner-friendly tutorial on text classification in WEKA; all text changes to numbers and categories after 1-2, so 3-5 relate to many other data analysis (not specifically text classification) using WEKA.
5 main sections:
0:00 Introduction (5 minutes)
5:06 TextToDirectoryLoader (3 minutes)
8:12 StringToWordVector (19 minutes)
27:37 AttributeSelect (10 minutes)
37:37 Cost Sensitivity and Class Imbalance (8 minutes)
45:45 Classifiers (14 minutes)
59:07 Conclusion (20 seconds)
Some notable sub-sections:
- Section 1 -
5:49 TextDirectoryLoader Command (1 minute)
- Section 2 -
6:44 ARFF File Syntax (1 minute 30 seconds)
8:10 Vectorizing Documents (2 minutes)
10:15 WordsToKeep setting/Word Presence (1 minute 10 seconds)
11:26 OutputWordCount setting/Word Frequency (25 seconds)
11:51 DoNotOperateOnAPerClassBasis setting (40 seconds)
12:34 IDFTransform and TFTransform settings/TF-IDF score (1 minute 30 seconds)
14:09 NormalizeDocLength setting (1 minute 17 seconds)
15:46 Stemmer setting/Lemmatization (1 minute 10 seconds)
16:56 Stopwords setting/Custom Stopwords File (1 minute 54 seconds)
18:50 Tokenizer setting/NGram Tokenizer/Bigrams/Trigrams/Alphabetical Tokenizer (2 minutes 35 seconds)
21:25 MinTermFreq setting (20 seconds)
21:45 PeriodicPruning setting (40 seconds)
22:25 AttributeNamePrefix setting (16 seconds)
22:42 LowerCaseTokens setting (1 minute 2 seconds)
23:45 AttributeIndices setting (2 minutes 4 seconds)
- Section 3 -
28:07 AttributeSelect for reducing dataset to improve classifier performance/InfoGainEval evaluator/Ranker search (7 minutes)
- Section 4 -
38:32 CostSensitiveClassifer/Adding cost effectiveness to base classifier (2 minutes 20 seconds)
42:17 Resample filter/Example of undersampling majority class (1 minute 10 seconds)
43:27 SMOTE filter/Example of oversampling the minority class (1 minute)
- Section 5 -
45:34 Training vs. Testing Datasets (1 minute 32 seconds)
47:07 Naive Bayes Classifier (1 minute 57 seconds)
49:04 Multinomial Naive Bayes Classifier (10 seconds)
49:33 K Nearest Neighbor Classifier (1 minute 34 seconds)
51:17 J48 (Decision Tree) Classifier (2 minutes 32 seconds)
53:50 Random Forest Classifier (1 minute 39 seconds)
55:55 SMO (Support Vector Machine) Classifier (1 minute 38 seconds)
57:35 Supervised vs Semi-Supervised vs Unsupervised Learning/Clustering (1 minute 20 seconds)
Classifiers introduces you to six (but not all) of WEKA's popular classifiers for text mining; 1) Naive Bayes, 2) Multinomial Naive Bayes, 3) K Nearest Neighbor, 4) J48, 5) Random Forest and 6) SMO.
Each StringToWordVector setting is shown, e.g. tokenizer, outputWordCounts, normalizeDocLength, TF-IDF, stopwords, stemmer, etc. These are ways of representing documents as document vectors.
Automatically converting 2,000 text files (plain text documents) into an ARFF file with TextDirectoryLoader is shown.
Additionally shown is AttributeSelect which is a way of improving classifier performance by reducing the dataset.
Cost-Sensitive Classifier is shown which is a way of assigning weights to different types of guesses.
Resample and SMOTE are shown as ways of undersampling the majority class and oversampling the majority class.
Introductory tips are shared throughout, e.g. distinguishing supervised learning (which is most of data mining) from semi-supervised and unsupervised learning, making identically-formatted training and testing datasets, how to easily subset outliers with the Visualize tab and more...
----------
Update March 24, 2014: Some people asked where to download the movie review data. It is named Polarity_Dataset_v2.0 and shared on Bo Pang's Cornell Ph.D. student page http://www.cs.cornell.edu/People/pabo/movie-review-data/ (Bo Pang is now a Senior Research Scientist at Google)

Views: 139323
Brandon Weinberg

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.

Views: 450
EducationCC

Rendered by Mirza Kamaludin

Views: 398
Hafizan Khairudin

Video ini berisi tutorial tentang penggunaan WeKa untuk Data Mining menggunakan metode Association Rule

Views: 2706
Adam Mukharil Bachtiar

This tutorial demonstrates various preprocessing options in Weka. However, details about data preprocessing will be covered in the upcoming tutorials.

Views: 173793
Rushdi Shams

This Video Is About Use Of Weka Software For Data mining Process

Views: 91
Bhavesh Methaniya

Weka provides a filter called NumericTransform so that you can use the Java.Lang.Math class methods to transform your feature values. This is particularly useful as for some classification algorithms you will see that they perform better with integer values than real numbers or vice versa.

Views: 32996
Rushdi Shams

Tutorial menggunakan tools Data Mining, Weka dengan mengimplementasikan algoritma Apriori.
File .csv pada video dapat diunduh di https://drive.google.com/open?id=0B45eeCYWoMt-bUUxZzRZUmstcjQ
Unduh Weka di https://sourceforge.net/projects/weka/files/latest/download?source=files

Views: 6637
Ahmad Banyu Rachman

This is a tutorial for the Innovation and technology course in the ePC-UCB. La Paz Bolivia

Views: 56149
Alejandro Peña

Contact Best Phd Projects
Visit us: http://www.phdprojects.org/
http://www.phdprojects.org/phd-projects-uk/

Views: 3548
PHD Projects

This video will show you how to create and load dataset in weka tool.
weather data set excel file
https://eric.univ-lyon2.fr/~ricco/tanagra/fichiers/weather.xls

Views: 44325
HowTo

This tutorial is about how to apply apriori algorithm on given data set. This is association rule mining task.
#datamining
#weka
#apriori
Data mining in hindi
Data mining tutorial
Weka tutorial

Views: 3485
yaachana bhawsar

More Data Mining with Weka: online course from the University of Waikato
Class 5 - Lesson 2: Multilayer Perceptrons
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: 31687
WekaMOOC

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: 36883
WekaMOOC

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: 8836
WekaMOOC

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: 8991
WekaMOOC

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: 94601
WekaMOOC

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: 41406
WekaMOOC

WEKA is a tool used for many data mining techniques out of which i'm discussing about Apriori algorithm.
This is a digital assignment for data mining CSE3019
Vellore institute of technology

Views: 3206
Goutam Bharadwaj

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: 28004
WekaMOOC

Published on Aug 2, 2014
1 intro data mining and scraping
next tutorial here: http://youtu.be/gb4ufqFkT7A
please comment below if you have any questions. Tq
Category
Education
License
Standard YouTube License

Views: 115078
Red Team Cyber Security

tutorial on several techniques is applied in data mining.
#DataMining_FSKTM_UPM

Views: 1877
farhana yusuf

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: 17016
WekaMOOC

Hey everyone! In this video, I’ll walk you through using Weka - The very first machine learning library I’ve ever tried. What’s great is that Weka comes with a GUI that makes it easy to visualize your datasets, and train and evaluate different classifiers. I’ll give you a quick walkthrough of the tool, from installation all the way to running experiments, and show you some of what it can do. This is a helpful library to have while you’re learning ML, and I still find it useful today to experiment with new datasets. Note: In the video, I quickly went through testing. This is an important topic in ML, and how you design and evaluate your experiments is even more important than the classifier you use. Although I publish these videos at turtle speed, I’ve started working on an experimental design one, and that’ll be next! Also, we will soon publish some testing tips and best practices on tensorflow.org (https://goo.gl/nZcS5R).
Links from the video:
Weka → https://goo.gl/2TYjGZ
Ready to use datasets → https://goo.gl/PM8DtH
More on evaluating classifiers, particularly in the medical domain → https://goo.gl/TwTYyk
Check out the Machine Learning Recipes playlist → https://goo.gl/KewA03
Follow Josh on Twitter → https://twitter.com/random_forests
Subscribe to the Google Developers channel → http://goo.gl/mQyv5L

Views: 78501
Google Developers

More Data Mining with Weka: online course from the University of Waikato
Class 5 - Lesson 4: Meta-learners for performance optimization
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: 7447
WekaMOOC

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: 18805
WekaMOOC

An example of data preprocessing using Weka on the Customer Churn data set

Views: 9042
Financial Data Science

KNIME is very helpful tool for Data Mining tasks like Clustering, Classification, Standard Deviation and Mean

Views: 30994
Sania Habib