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Oracle data mining tutorial, data mining techniques: classification
 
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What is data mining? The Oracle Data Miner tutorial presents data mining introduction. Learn data mining techniques. More lessons, visit http://www.learn-with-video-tutorials.com/oracle-data-mining-tutorial-video
Oracle data mining tutorial, data mining techniques classification
 
33:45
What is data mining? The Oracle Data Miner tutorial presents data mining introduction. Learn data mining techniques.
Oracle's Machine Learning & Advanced Analytics 12.2 & Oracle Data Miner 4.2 New Features
 
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Oracle's Machine Learning and Advanced Analytics 12.2 and Oracle Data Miner 4.2 New Features. This presentation highlights the new machine learning algorithms, features, functions and "differentiators" added to Oracle Database Release 12.2 and Oracle SQL Developer4.2. These features and functioned are "packaged" as part of the Oracle Advanced Analytics Database Option and Oracle Data Miner workflow UI on-premise and in the Oracle Database Cloud Service High and Extreme Editions. I hope you enjoy the video! Charlie Berger [email protected]
Views: 7926 Charlie Berger
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: 210962 Thales Sehn Körting
NEW - Fraud and Anomaly Detection using Oracle Advanced Analytics Part 1 Concepts
 
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This is Part 1 of my Fraud and Anomaly Detection using Oracle Advanced Analytics presentations and demos series. Hope you enjoy! www.twitter.com/CharlieDataMine
Views: 5949 Charles Berger
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: 10030 Microsoft Research
Mining Structured and Unstructured Data
 
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Oracle Advanced Analytics (OAA) Database Option leverages Oracle Text, a free feature of the Oracle Database, to pre-process (tokenize) unstructured data for ingestion by the OAA data mining algorithms. By moving, parallelized implementations of machine learning algorithms inside the Oracle Database, data movement is eliminated and we can leverage other strengths of the Database such as Oracle Text (not to mention security, scalability, auditing, encryption, back up, high availability, geospatial data, etc.. This YouTube video presents an overview of the capabilities for combing and data mining structured and unstructured data, includes several brief demonstrations and instructions on how to get started--either on premise or on the Oracle Cloud.
Views: 2315 Charlie Berger
Machine Learning Tutorial 4  - Generalization (Algorithms)
 
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Best Machine Learning book: https://amzn.to/2MilWH0 (Fundamentals Of Machine Learning for Predictive Data Analytics). Machine Learning and Predictive Analytics. #MachineLearning Generalization (Algorithms) is 4th in this machine learning course. This video explains an algorithm's ability to generalize beyond data that we have available. This allows the algorithm to choose the best model even if we are lacking historical data to fully represent reality. Consider also generalization as a measurement of how well an algorithm is able to predict an entity's target feature value even though we do not have historical data to match such entity. This online course covers big data analytics stages using machine learning and predictive analytics. Big data and predictive analytics is one of the most popular applications of machine learning and is foundational to getting deeper insights from data. Starting off, this course will cover machine learning algorithms, supervised learning, data planning, data cleaning, data visualization, models, and more. This self paced series is perfect if you are pursuing an online computer science degree, online data science degree, online artificial intelligence degree, or if you just want to get more machine learning experience. Enjoy! Check out the entire series here: https://www.youtube.com/playlist?list=PL_c9BZzLwBRIPaKlO5huuWQdcM3iYqF2w&playnext=1 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Support me! http://www.patreon.com/calebcurry Subscribe to my newsletter: http://bit.ly/JoinCCNewsletter Donate!: http://bit.ly/DonateCTVM2. ~~~~~~~~~~~~~~~Additional Links~~~~~~~~~~~~~~~ More content: http://CalebCurry.com Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://twitter.com/calebCurry Amazing Web Hosting - http://bit.ly/ccbluehost (The best web hosting for a cheap price!)
Views: 3336 Caleb Curry
Genetic Algorithms Tutorial 06 - data mining + JAVA 8 + logical operators
 
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Website + download source code @ http://www.zaneacademy.com
Views: 2035 zaneacademy
In-Database Data Mining for Retail Market Basket Analysis Using Oracle Advanced Analytics
 
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Market Basket Analysis presentation and demo using Oracle Advanced Analytics
Views: 10366 Charles Berger
Fraud and Anomaly Detection using Oracle Advanced Anlaytics Part 2 Demo
 
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This is Part 2 of my Fraud and Anomaly Detection using Oracle Advanced Anlaytics YouTube posting a few days ago.
Views: 3117 Charles Berger
Oracle Data Miner/SQL Developer + R Integration via SQL Query node
 
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This presentation and demo shows the integration capabilities of Oracle Data Miner/SQL Developer + Oracle R Enterprise integration.
Views: 9139 Charlie Berger
INTRODUCTION TO CLASSIFICATION - DATA MINING
 
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Classification consists of predicting a certain outcome based on a given input. In order to predict the outcome, the algorithm processes a training set containing a set of attributes and the respective outcome, usually called goal or prediction attribute. The algorithm tries to discover relationships between the attributes that would make it possible to predict the outcome. Next the algorithm is given a data set not seen before, called prediction set, which contains the same set of attributes, except for the prediction attribute – not yet known. The algorithm analyses the input and produces a prediction.
Views: 31961 Nina Canares
Oracle Data Miner 4.0/SQL Developer 4.0 Ext. - New Features
 
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Oracle Data Miner 4.0 New Features demo and presentation
Views: 10636 Charlie Berger
Data Mining Software in Healthcare
 
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This is a brief discussion of data mining software with an emphasis on the healthcare field.
Views: 4090 Joshua White
Data Mining with Weka (4.3: Classification by regression)
 
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Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 3: Classification by 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: 26402 WekaMOOC
data mining oracle
 
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Views: 763 Harry Quispe
Market Basket Analysis: Using Hive and Data Miner
 
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In this video, you are shown how to write a Hive UDT, and a simple drag and drop method for building association rules in Oracle Database
Lesson 4: Supervised Learning for Classification and Prediction
 
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Lecture delivered by Dan McClary, Ph.D., Principal Product Manager, Big Data and Hadoop at Oracle
Views: 6025 OracleAcademyChannel
Oracle Fast Data Mining: Real Time Knowledge Discovery for Predictive Decision Making
 
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Fast Data as a different approach to Big Data for managing large quantities of "in-flight" data that help organizations get a jump on those business-critical decisions. Difference between Big Data and Fast Data is comparable to the amount of time you wait downloading a movie from an online store and playing the dvd instantly. Data Mining as a process to extract info from a data set and transform it into an understandable structure in order to deliver predictive, advanced analytics to enterprises and operational environments. The combination of Fast Data and Data Mining are changing the "Rules"
Views: 885 Nino Guarnacci
Market Basket Analysis: Using Hive and Data Miner
 
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In part two of two, Hive is used to perform a simple pairwise expansion of shopping baskets, as well as using Oracle Data Miner to build association rules. For more information: http://www.oracle.com/bigdata
Views: 101 Oracle Big Data
Microsoft Excel Data Mining: Classification
 
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Microsoft Excel Data Mining: Classification. For more visit here: www.dataminingtools.net
Data Mining - Decision Tree
 
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Use a view to make predictions about bike purchases.
Views: 11070 Mike
SQL Data Mining
 
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SQL Data Mining & Visual Studio. A brief overview of data mining and the data mining algorithms.
Views: 2914 BrandonConsulting
Advanced Analytics using Oracle DB EE
 
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If you’ve been wanting to expose your colleagues to the power of using the Oracle Database as a platform for predictive analytics, this special session will be perfect for you. We’ll use a combination of live demos and business use cases to explain that predictive analytics doesn’t require an advanced degree in mathematics, just a database and a few good business questions. We’ll share how to leverage the work you’ve done in building a data warehouse and collecting business data sets into solid evidence for business decisions. Predictive analytics is all about looking forward into the future and leveraging data to assess and evaluate alternative courses of action. Too often, executives and managers rely on gut instinct without using the data they already have to make better decisions. Here’s the outline for the session: - Key issues in leveraging the power of analytics - Using Oracle database as an analytics platform. - Oracle Advanced Analytics overview - Oracle Data Mining - Oracle R Enterprise - Common use cases for predictive analytics - Where to start when developing your analytics capabilities
A classification methods performances on dermatology dataset
 
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This is video tutorial on data mining tools;WEKA and RapidMiner. It is also show how to peform classification method. Classification method use: Naive Bayes,J48/Decision Tree,Random Forest.
Views: 252 Azyani Atikah
AN EFFICIENT PREDICTION OF CANCER USING DATA MINING TECHNIQUE
 
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Cancer is one of the major causes of death when compared to all other diseases. Cancer has become the most hazardous types of disease among the living creature in the world. Early detection of cancer is essential in reducing life losses. This work aims to establish an accurate classification model for Cancer prediction, in order to make full use of the invaluable information in clinical data. The dataset is divided into training set and test set. In this experiment, we compare six classification techniques in Weka software and comparison results show that Support Vector Machine (SVM) has higher prediction accuracy than those methods. Different methods for cancer detection are explored and their accuracies are compared. With these results, we infer that the SVM are more suitable in handling the classification problem of cancer prediction, and we recommend the use of these approaches in similar classification problems. This work presents a comparison among the different Data mining classifiers on the database of cancer, by using classification accuracy.
Views: 4335 David Clinton
Classification of Breast Cancer data
 
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Graphical User Interface Tool to display and compare the performance metrics of 4 algorithms namely ANN, Naive Bayes, CART, KNN. Performance metrics considered for tool are Accuracy, ROC curve and execution time are shown in graphs. This is an in-class project for CS 5593 DATA MINING course at The University of Oklahoma
Views: 126 Anusha Saranam
Classification and Clustering part 2
 
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Classification and Clustering Study in Incomplete Data Domain
Views: 2470 Hector Mendia
ETL ( Extract Transform Load )   process fully explained  in hindi | Datawarehouse
 
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Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 52929 Last moment tuitions
Le Data Mining en 35 Leçons - Session 13 : Classification par l'arbre C&RT
 
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Cette nouvelle session de la série de didacticiels "Le Data Mining en 35 Leçons avec STATISTICA" aborde la construction d'un arbre de décision par l'algorithme C&RT (Classification And Regression Trees). Les arbres C&RT sont des arbres binaires, adaptés à des problématiques de classification ou de régression. Le processus de construction de l'arbre est expliqué pas-à-pas dans STATISTICA en couvrant les questions des règles d'arrêt, des coûts d'erreur de classement, de la validation croisée ou des substituts...
Views: 4785 Statistica France
Introduction to FOREX Data Mining
 
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In this public webinar you will get an introduction to FOREX Data Mining with WEKA using several algorithms and sample data.
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: 12748 WekaMOOC
Лекция 1: Задачи Data Mining
 
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Курс в Национальном Открытом Университете "ИНТУИТ": http://www.intuit.ru/studies/courses/3498/740/info
Views: 4402 НОУ ИНТУИТ
Data Mining Tutorial for Beginners FREE Training 02
 
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By: MyTeacher Published on Aug 2, 2014 2 intro import IO next tutorial here: http://youtu.be/Yi9GkFdL11A please comment below if you have any questions. Tq Category Education License Standard YouTube License
Data Mining 2/16/2011
 
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Views: 14701 CITRIS
Data Mining
 
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Technology students give presentation on about Data Mining including the advantages/disadvantages, how to and more.
Views: 16960 techEIU
Introduction to Data Mining  (2/3)
 
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http://www.creativecommit.com. This video gives a brief demo of the various data mining techniques. The demo mainly uses SQL server 2008, BIDS 2008 and Excel for data mining
Views: 26809 creativecommIT
Introduction to Data Mining: Basic Data Types
 
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Continuing with data fundamentals, we introduce you to the three data set types, Record, Ordered, and Graph. -- 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/H0f8Lkc0 See what our past attendees are saying here: https://hubs.ly/H0f8Lkk0 -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... Vimeo: https://vimeo.com/datasciencedojo
Views: 9673 Data Science Dojo

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