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Forecasting with the Microsoft Time Series Data Mining Algorithm
 
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Imagine taking historical stock market data and using data science to more accurately predict future stock values. This is precisely the aim of the Microsoft Time Series data mining algorithm.. MSBI - SSAS - Data Mining - Time Series. In this video you will learn the theory of Time Series Forecasting. You will what is univariate time series analysis, AR, MA, ARMA vesves ARIMA modelling and how to use these models to do forecast.. 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: 475 Fidela Aretha
MS SQL Server Data mining- decision tree
 
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A quick example on how to do data mining using decision tree algorithm within MS SQL Server . We analyze patterns in data that is heavily skewed for specific cases so that we can validate the model.
Views: 5142 Jayanth Kurup
Data Mining Lecture - - Finding frequent item sets | Apriori Algorithm | Solved Example (Eng-Hindi)
 
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In this video Apriori algorithm is explained in easy way in data mining Thank you for watching share with your friends Follow on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy data mining in hindi, Finding frequent item sets, data mining, data mining algorithms in hindi, data mining lecture, data mining tools, data mining tutorial,
Views: 199636 Well Academy
Apriori Algorithm (Associated Learning) - Fun and Easy Machine Learning
 
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Apriori Algorithm (Associated Learning) - Fun and Easy Machine Learning ►FREE YOLO GIFT - http://augmentedstartups.info/yolofreegiftsp ►KERAS Course - https://www.udemy.com/machine-learning-fun-and-easy-using-python-and-keras/?couponCode=YOUTUBE_ML Limited Time - Discount Coupon Apriori Algorithm The Apriori algorithm is a classical algorithm in data mining that we can use for these sorts of applications (i.e. recommender engines). So It is used for mining frequent item sets and relevant association rules. It is devised to operate on a database containing a lot of transactions, for instance, items brought by customers in a store. It is very important for effective Market Basket Analysis and it helps the customers in purchasing their items with more ease which increases the sales of the markets. It has also been used in the field of healthcare for the detection of adverse drug reactions. A key concept in Apriori algorithm is that it assumes that: 1. All subsets of a frequent item sets must be frequent 2. Similarly, for any infrequent item set, all its supersets must be infrequent too. ------------------------------------------------------------ Support us on Patreon ►AugmentedStartups.info/Patreon Chat to us on Discord ►AugmentedStartups.info/discord Interact with us on Facebook ►AugmentedStartups.info/Facebook Check my latest work on Instagram ►AugmentedStartups.info/instagram Learn Advanced Tutorials on Udemy ►AugmentedStartups.info/udemy ------------------------------------------------------------ To learn more on Artificial Intelligence, Augmented Reality IoT, Deep Learning FPGAs, Arduinos, PCB Design and Image Processing then check out http://augmentedstartups.info/home Please Like and Subscribe for more videos :)
Views: 52129 Augmented Startups
How data mining works
 
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In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at https://www.youtube.com/playlist?list=PLXMKI02h3_qjYoX-f8uKrcGqYmaqdAtq5 Please subscribe to my channel, and share this video with your peers!
Views: 223747 Thales Sehn Körting
Predicting Stock Prices with SSAS Mining Models
 
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Predictive analytics and supervised machine learning with SSAS and C#. In this demo I use MS Time Series Mining structure within SSAS to predict stock prices using the Auto Regressive Integrated Moving Average (ARIMA) method. This is a bit of supervised machine learning with analysis services. I then query the mining model with SSMS and run a prediction query from a C# applications
Views: 3122 sackdeezle
Anomaly Detection: Algorithms, Explanations, Applications
 
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Anomaly detection is important for data cleaning, cybersecurity, and robust AI systems. This talk will review recent work in our group on (a) benchmarking existing algorithms, (b) developing a theoretical understanding of their behavior, (c) explaining anomaly "alarms" to a data analyst, and (d) interactively re-ranking candidate anomalies in response to analyst feedback. Then the talk will describe two applications: (a) detecting and diagnosing sensor failures in weather networks and (b) open category detection in supervised learning. See more at https://www.microsoft.com/en-us/research/video/anomaly-detection-algorithms-explanations-applications/
Views: 12910 Microsoft Research
Introduction to Data Mining: Euclidean Distance & Cosine Similarity
 
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In this Data Mining Fundamentals tutorial, we continue our introduction to similarity and dissimilarity by discussing euclidean distance and cosine similarity. We will show you how to calculate the euclidean distance and construct a distance matrix. -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 3600+ employees from over 742 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8M8m0 See what our past attendees are saying here: https://hubs.ly/H0f8Lts0 -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
Views: 20117 Data Science Dojo
StatQuest: Principal Component Analysis (PCA), Step-by-Step
 
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Principal Component Analysis, is one of the most useful data analysis and machine learning methods out there. It can be used to identify patterns in highly complex datasets and it can tell you what variables in your data are the most important. Lastly, it can tell you how accurate your new understanding of the data actually is. In this video, I go one step at a time through PCA, and the method used to solve it, Singular Value Decomposition. I take it nice and slowly so that the simplicity of the method is revealed and clearly explained. If you are interested in doing PCA in R see: https://youtu.be/0Jp4gsfOLMs For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider a StatQuest t-shirt or sweatshirt... https://teespring.com/stores/statquest ...or buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/
Strategies for scaling up data mining algorithms
 
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In todayΓÇÖs world, data is generated by and collected from a myriad of disciplines such as mechanical systems, sensor network-based Earth science systems, hardware infrastructures, and information networks. Many of the existing data analysis algorithms do not scale to such large data sets. In this talk, I will present some of our work in speeding up existing data mining algorithms to scale to very large data sets. The first technique will describe how outlier detection can be done in an efficient fashion using an indexing strategy and parallel computing on clusters. This will be followed by a discussion on a general framework for checking model fidelity in very large loosely coupled distributed systems and how the framework can be adapted for system health monitoring.
Views: 21 Microsoft Research
Excel at Data Mining - Your First Predictions
 
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In this video, Billy Decker of StatSlice Systems shows you how to start data mining in 5 minutes with the Microsoft Excel data mining add-in*. In this example, we will create a set of predictions for new customers using a Logistic Regression models based upon old customers. For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at: https://dataminingaddins.codeplex.com/releases/view/87029 *This tutorial assumes that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server to which you have access rights.
Views: 21544 StatSlice Systems
apriori algorithm (data mining)
 
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********************************************* visit below link for examples http://britsol.blogspot.in/2017/08/apriori-algorithm-example.html book name : techmax publications datawarehousing and mining by arti deshpande n pallavi halarnkar ******************************************** MORE DATA MINING ALGORITHM PLAYLIST IS ON BELOW LINK: https://www.youtube.com/watch?v=JZepOmvB514&list=PLNmFIlsXKJMmekmO4Gh6ZBZUVZp24ltEr
Views: 93143 fun 2 code
Introduction to Data Mining in SQL Server Analysis Services
 
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Data mining is one of the key hidden gems inside of Analysis Services but has traditionally had a steep learning curve. In this session, you'll learn how to create a data mining model to predict who is the best customer for you and learn how to use other algorithms to spend your marketing model wisely. You'll also see how to use Time Series analysis for budget and forecast prediction. Finally, you'll learn how to integrate data mining into your application through SSIS or custom coding.
Views: 9758 PASStv
Data Mining and Predictive Analytics Graduate Program
 
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Learn more at http://www.stjohns.edu/gradpremier/ms-data-mining
Views: 2872 St. John's University
CART Regression Trees Algorithm - Excel part 1
 
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CART, Classification and Regression Trees is a family of Supervised Machine Learning Algorithms. Follow this link for an entire Intro course on Machine Learning using R, did I mention it's FREE: https://www.youtube.com/playlist?list=PLjPbBibKHH18I0mDb_H4uP3egypHIsvMn Also, be sure to check out my channel for over 400 tutorials on Excel, R, Statistics, Machine Learning, basic Math, and more.
Views: 11481 Jalayer Academy
data mining fp growth | data mining fp growth algorithm | data mining fp tree example | fp growth
 
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In this video FP growth algorithm is explained in easy way in data mining Thank you for watching share with your friends Follow on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy data mining algorithms in hindi, data mining in hindi, data mining lecture, data mining tools, data mining tutorial, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining fp growth, data mining fp growth algorithm, data mining fp tree example, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining, fp growth algorithm, fp growth algorithm example, fp growth algorithm in data mining, fp growth algorithm in data mining example, fp growth algorithm in data mining examples ppt, fp growth algorithm in data mining in hindi, fp growth algorithm in r, fp growth english, fp growth example, fp growth example in data mining, fp growth frequent itemset, fp growth in data mining, fp growth step by step, fp growth tree
Views: 127282 Well Academy
Microsoft Data Mining Demo -- Fill from Example
 
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Microsoft Data Mining Demo -- Fill from Example with SQL Server 2008 and Excel 2007
Views: 15448 MarkTabNet
SSAS Data Mining Overview
 
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Just an overview of SSAS Data Mining. Check out Microsoft's tutorial for more info: https://msdn.microsoft.com/en-us/library/ms167167(v=sql.120).aspx
Views: 1899 Randal Root
Market Basket Analysis | Association Rules | R Programming | Data Prediction Algorithm
 
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In this video I've talked about the theory related to market basket analysis. Where I explained about its background and the components like support, confidence and lift. In the next video I'll talk about the code to achieve the association rules by applying market basket analysis in R.
Views: 10229 Data Science Tutorials
Advanced Excel - Data Mining Techniques using Excel
 
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Key Takeaways for the session : Breaking junk using formula and generate reports VBA to manipulate data in required format Data extraction from external files Who should attend? People from any domain who work on data in any form. Good for Engineers, Leads, Managers, Sales people, HR, MIS experts, Data scientists, IT Support, BPO, KPO etc. Feel free to write me at [email protected]
Views: 24541 xtremeexcel
Data mining algorithms with SQL Server and R part 1   Dejan Sarka HD
 
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Breakout session from DevWeek 2015 http://devweek.com/ DevWeek is the UK’s leading conference for professional software developers, architects and analysts. With insights on the latest technologies, best practice and frameworks from industry-leading experts, plus hands-on workshop sessions, DevWeek is your chance to sharpen your skills - and ensure every member of your team is up to date. Please visit http://devweek.com/ for information on the latest event. ----------------------------------------­----------------------------------------­----- DevWeek is part of DevWeek Events, a series of software development conferences and workshops, including DevWeek's sister conference 'Software Architect' (http://software-architect.co.uk/), brought to you by Publicis UK. ----------------------------------------­----------------------------------------­-----
Views: 566 DevWeek Events
Last Minute Tutorials | Market basket analysis | Support and Confidence
 
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Please feel free to get in touch with me :) If it helped you, please like my facebook page and don't forget to subscribe to Last Minute Tutorials. Thaaank Youuu. Facebook: https://www.facebook.com/Last-Minute-Tutorials-862868223868621/ Website: www.lmtutorials.com For any queries or suggestions, kindly mail at: [email protected]
Views: 32868 Last Minute Tutorials
Association analysis: Frequent Patterns, Support, Confidence and Association Rules
 
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This lecture provides the introductory concepts of Frequent pattern mining in transnational databases.
Views: 48387 StudyKorner
Introduction to Time Series Forecasting [AAT-202]
 
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Speaker(s): Peter Myers Imagine taking historical stock market data and using data science to more accurately predict future stock values. This is precisely the aim of the Microsoft Time Series data mining algorithm. Of course, your objective doesn't need to be personal profit to attend this session! SQL Server Analysis Services includes the Microsoft Time Series algorithm to provide an approach to intuitive and accurate time series forecasting. The algorithm can be used in scenarios where you have a historic series of data and where you need to predict a future series of values based on more than just your gut instinct. This session will describe how to prepare data, create and query time series data mining models, and interpret query results. Various demonstration data mining models will be created by using Visual Studio and, in self-service scenarios, by using the data mining add-ins available in Excel.
Views: 400 PASStv
Data Mining - Decision Tree
 
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Use a view to make predictions about bike purchases.
Views: 11342 Mike
MSBI - SSAS - Data Mining - Association Rules
 
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MSBI - SSAS - Data Mining - Association Rules
Views: 553 M R Dhandhukia
Lecture - 34 Data Mining and Knowledge Discovery
 
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Lecture Series on Database Management System by Dr. S. Srinath,IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 134228 nptelhrd
Microsoft Excel Data Mining: Classification
 
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Microsoft Excel Data Mining: Classification. For more visit here: www.dataminingtools.net
Data Mining : Clustering Algorithm By Dunk Stat 43
 
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made with ezvid, free download at http://ezvid.com
Views: 1447 Chawannut Prommin
Understanding Apriori Algorithm | Apriori Algorithm Using Mahout | Edureka
 
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Watch Sample Class Recording: http://www.edureka.co/mahout?utm_source=youtube&utm_medium=referral&utm_campaign=apriori-algo Apriori is an algorithm for frequent item set mining and association rule learning over transactional databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those item sets appear sufficiently often in the database. The frequent item sets determined by Apriori can be used to determine association rules which highlight general trends in the database: this has applications in domains such as market basket analysis. This video gives you a brief insight of Apriori algorithm. Related Blogs: http://www.edureka.co/blog/introduction-to-clustering-in-mahout/?utm_source=youtube&utm_medium=referral&utm_campaign=apriori-algo http://www.edureka.co/blog/k-means-clustering/?utm_source=youtube&utm_medium=referral&utm_campaign=apriori-algo Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. The topics related to ‘Apriori Algorithm’ have extensively been covered in our course ‘Machine Learning with Mahout’. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 14512 edureka!
SSAS - Data Mining - Decision Trees, Clustering, Neural networks
 
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SSAS - Data Mining - Decision Trees, Clustering, Neural networks
Views: 1227 M R Dhandhukia
SQL Data Mining
 
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SQL Data Mining & Visual Studio. A brief overview of data mining and the data mining algorithms.
Views: 2994 BrandonConsulting
Data Mining Classification - Basic Concepts
 
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Classification in Data Mining with classification algorithms. Explanation on classification algorithm the decision tree technique with Example.
Data Mining in Excel
 
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How to implement data mining in excel? For more information please visit https://www.koenig-solutions.com/microsoft-training-certification-courses.aspx
Views: 2989 Koenig Solutions
Decision Tree -Data mining in Visual studio 2013
 
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How to create Decision Tree in Visual studio 2013
Views: 190 Nex Console
Apriori Algorithm Video, KDD Knowledge Discovery in Database
 
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This is a video demonstration of finding representative rules and sets using the Apriori algorithm.
Views: 30622 Laurel Powell
K Nearest Neighbor Algorithm (KNN) | Data Science | Big Data
 
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In this video you will learn about the KNN (K Nearest Neighbor Algorithm). KNN is a machine learning / data mining algorithm that is used for regression and classification purpose. This is a non parametric class of algorithms that works well with all kinds of data. The other types of data science algorithms that works similar to KNN are the Support vector machine, Logistic regression, Random forest, decision tree, Neural Network etc. ANalytics Study Pack : https://analyticuniversity.com Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity Logistic Regression in R: https://goo.gl/S7DkRy Logistic Regression in SAS: https://goo.gl/S7DkRy Logistic Regression Theory: https://goo.gl/PbGv1h Time Series Theory : https://goo.gl/54vaDk Time ARIMA Model in R : https://goo.gl/UcPNWx Survival Model : https://goo.gl/nz5kgu Data Science Career : https://goo.gl/Ca9z6r Machine Learning : https://goo.gl/giqqmx Data Science Case Study : https://goo.gl/KzY5Iu Big Data & Hadoop & Spark: https://goo.gl/ZTmHOA
Views: 5871 Big Edu
Data Mining  Association Rule - Basic Concepts
 
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short introduction on Association Rule with definition & Example, are explained. Association rules are if/then statements used to find relationship between unrelated data in information repository or relational database. Parts of Association rule is explained with 2 measurements support and confidence. types of association rule such as single dimensional Association Rule,Multi dimensional Association rules and Hybrid Association rules are explained with Examples. Names of Association rule algorithm and fields where association rule is used is also mentioned.
MSBI - SSAS - Data Mining - SEQUENCE CLUSTERING
 
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MSBI - SSAS - Data Mining - SEQUENCE CLUSTERING
Views: 351 M R Dhandhukia
Tutorial Data Mining K-Nearest Neighbor (KNN) mengunankan Ms. Excell
 
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Diajukan untuk memenuhi salah satu tugas mata Kuliah Kecerdasan Buatan,. Mempresentasikan Data Mining K-Nearest Neighbor(KNN)
Views: 2810 Syam Awsyam
kNN Machine Learning Algorithm - Excel
 
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kNN, k Nearest Neighbors Machine Learning Algorithm tutorial. Follow this link for an entire Intro course on Machine Learning using R, did I mention it's FREE: https://www.youtube.com/playlist?list=PLjPbBibKHH18I0mDb_H4uP3egypHIsvMn Also, be sure to check out my channel for over 300 tutorials on Excel, R, Statistics, basic Math, and more.
Views: 64638 Jalayer Academy
Introduction to Data Mining: Types of Sampling
 
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In this Data Mining Fundamentals tutorial, we discuss the different types of sampling for data preprocessing, such as random sampling, stratified sampling, sampling without and with replacement. We will also dive into the issues of sample size, and how that can effect your sampling. -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 3600+ employees from over 742 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8LpT0 See what our past attendees are saying here: https://hubs.ly/H0f8Lqf0 -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
Views: 6120 Data Science Dojo
8/17/18 Using Analytic Solver Data Mining to Gain Insights from Your Data in Excel 1
 
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Live Webinar Recording: Do you want to learn and get results quickly from data mining and predictive analytics for your business? Have you found that "enterprise data mining" software involves far too much cost, risk and learning time? Do you want to apply traditional time series forecasting and regression, and also new data mining methods? Is the data you need found in SQL databases, data warehouses, public datasets, and Excel spreadsheets? Easily draw samples and build data mining models for all your data using Excel, PowerPivot and Analytic Solver Data Mining Use XLMiner's tools to uncover and visualize hidden relationships, clean and transform, and cluster your data Forecast future trends with a full range of traditional ARIMA, exponential smoothing, and regression methods Create classification and prediction models using the full spectrum of data mining methods -- from discriminant analysis and logistic regression to classification/regression trees, association rules, and neural networks
Views: 537 FrontlineSolvers
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: 45380 WekaMOOC
MS Association Rule
 
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Data Mining using MS Association Rule
Views: 388 Nguyen Minh Tri