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Search results “Data mining oracle database” for the 2013
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: 10335 Charles Berger
Oracle Big Data Analytics Demo mining remote sensor data from HVACs for better customer service
 
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Oracle Big Data Analytics Demo mining remote sensor data from HVACs for better customer service. Oracle Advanced Analytics's Data Mining GUI is used to mine data from remote devices to find problems and improve product customer service. In the scenario, Oracle's Big Data Appliance is positioned to be the initial data collector/aggregator and then the data that is loaded into the Oracle Database. We perform our data mining/predictive analytics on the data while it resides inside the Oracle Database thereby transforming the Database into an Analytical Database.
Views: 2635 Charles Berger
In-Database Data Mining Using Oracle Advanced Analytics for Classificaton using Insurance Use Case
 
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In-Database Data Mining Using Oracle Advanced Analytics Option for Classificaton using Insurance Use Case
Views: 4913 Charles Berger
Basis Data Lanjut Oracle: Teori 15 - Data Mining
 
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Basis Data Lanjut Oracle: Teori 15 - Data Mining
Views: 25 OracleDannyhrnt
Oracle Logminer HowTo Guide
 
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A HOWTO guide to help you start using Oracle's LogMiner. It is a useful tool for auditing redo logs and archive logs. Everything was done on a Oracle Linux 6.2 OS, database version is 12c which was used for testing purposes only.
Views: 4727 Blaz Lampreht
Overview presentation and demonstration of Oracle Advanced Analytics Option
 
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Overview presentation & demonstration of Oracle Advanced Analytics Option.
Views: 7849 Charles Berger
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
Вебинар «Практические задачи Data Mining: проблемы и решения»
 
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Вебинар посвящен современным подходам и стратегиям применения методов Data Mining для решения актуальных задач в различных областях: бизнесе/маркетинге, финансах, банковской области, телекоммуникациях и др. http://www.statsoft.ru/products/STATISTICA_Data_Miner/
Views: 2012 StatSoftRussia
Tanagra Data Mining
 
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an "open source project" as every researcher can access to the source code, and add his own algorithms, as far as he agrees and conforms to the software distribution license.
Views: 14246 Emmanuel Felipe
Data mining в реальном проекте
 
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Data mining - классический пример того, когда нас просят из ничего сделать что-то, извлечь скрытый смысл из имеющейся информации. На примерах ситуаций, возникавших в ходе разработки реального проекта, будут рассмотрены проблемы, с которыми мы столкнулись, а также воплощаемые в коде решения, необходимые для создания сбалансированно работающей системы. По материалам конференции .NET разработчиков - http://dotnetconf.ru/Materialy/DataMining
Views: 821 Alexander Byndyu
Data Management_ Oracle Enterprise Manager 12C_ Prepare For Test Data Management
 
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Math needed to become marine biologist? Data? management? outsourcing services? Explain the role of a management? accountant in a manufacturing company? Data? mining vs dbms? Data? analysis topic? I can it download new songs to my guitar hero i have to delete some data? from my wii how? and is it safe? Help ! help! help!helping with job choice, data? entry or .? Is there a way to take saved game data? from one wii and put it onto another? Can i delete part of ps vita game data? files? What differences might exist in the management? of data? from one insurance product system to another?
Database Mining
 
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Views: 160 Sean Patrick Altea
Preparing Clinical Trial Data for Reporting and Analysis
 
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Learn a better way to prepare clinical trial data for reporting and analysis. -- Many companies have made great strides in standardizing and conforming subject data collected in clinical trials, in order to have a more efficient and repeatable way of delivering the data to reporting systems for statistical analysis and regulatory submissions. Typically, preparing data is made up of the following three steps: 1. Specifying the conformed data 2. Programming the conformed specification 3. Validating the written programs work as expected Please join BioPharm Systems' Michael Grossman, vice president of clinical data warehousing and analytics, for a complimentary one-hour webinar that will discuss and demonstrate one way to dramatically reduce the effort of specification and validation, as well as remove the programming step in its entirety. The ensuing programs are automatically generated in Oracle Life Sciences Data Hub (LSH) and as standalone SAS. The end result is a significant increase in the productivity of data preparation and conforming for internal use, along with runnable programs that can be sent to regulatory authorities and partners. To view this webinar in its entirety, please visit: http://www.biopharm.com or https://cc.readytalk.com/r/sldl6locwp3e. Twitter: http://www.twitter.com/BioPharmSystems Facebook: http://www.facebook.com/BioPharmSystems LinkedIn: http://www.linkedin.com/companies/biopharm-systems-inc Google+: https://plus.google.com/104105608638786200757
Views: 27755 BioPharmSystems
2  Oracle Warehouse Analytic Workspace OLAP 11g Dimensions
 
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This module will introduce you to Analytic Workspace Manager for Oracle OLAP 11g. First, start out by creating an analytic workspace with logical dimension and cube objects. Afterwards, map these objects with existing star, snowflake, and normalized sources and then load the data. Lesson 2 -- Defining analytic workspace Lesson 3 -- Defining dimensions datasource.dmp http://www.4shared.com/file/nHYnJATY/datasource.html awm projet.pdf http://www.4shared.com/office/DtKgej-A/awm_projet.html
Views: 8055 EL-MAHJOUB Eddoua
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
Oracle NoSQL Database
 
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Final Project at Harvard Extension School CSCIE185 - Big Data Analysis
Data Mining Case Study meetup:  Data Mining Overview
 
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Junling Hu presents a high level overview of data mining at the "Data Mining Case Study" meetup at the HackerDojo in Mountain View, Ca on Aug 17th 2013.
Views: 1480 Stoney Vintson
Using SQL for Pattern Matching in Oracle Database - OLL Live recorded event
 
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Learn how to use SQL for Pattern Matching. Row pattern matching in native SQL improve application and development productivity and query efficiency for row-sequence analysis. Recognizing patterns in a sequence of rows has been a capability that was widely desired, but not possible with SQL until now. With Oracle Database 12c Release 1 (12.1), you can use the MATCH_RECOGNIZE clause to perform pattern matching in SQL. See the related tutorial at http://apex.oracle.com/pls/apex/f?p=44785:24:0::::P24_CONTENT_ID,P24_PREV_PAGE:6781,1. Copyright © 2013 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement.
Performing Text Analytics in OBIEE using Oracle Database (V309)
 
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How to consume Oracle Database's text processing capabilities to deliver powerful analytical capabilities in OBIEE.
Views: 2697 ORACLE ANALYTICS
Introduction to Database Management Systems 3-1: Data Models (hierarchical models, CODASYL, ER)
 
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This is the third chapter in the web lecture series of Prof. dr. Bart Baesens: Introduction to Database Management Systems. Prof. dr. Bart Baesens holds a PhD in Applied Economic Sciences from KU Leuven University (Belgium). He is currently an associate professor at KU Leuven, and a guest lecturer at the University of Southampton (United Kingdom). He has done extensive research on data mining and its applications. For more information, visit http://www.dataminingapps.com In this lecture, the basic concepts of data modeling are explained, including: hierarchical models, CODASYL models, and ER models.
Views: 17233 Bart Baesens
Introduction to Database Management Systems 2: Architecture and Classification of DBMS's
 
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This is the second chapter in the web lecture series of Prof. dr. Bart Baesens: Introduction to Database Management Systems. Prof. dr. Bart Baesens holds a PhD in Applied Economic Sciences from KU Leuven University (Belgium). He is currently an associate professor at KU Leuven, and a guest lecturer at the University of Southampton (United Kingdom). He has done extensive research on data mining and its applications. For more information, visit http://www.dataminingapps.com In this lecture, the DDL compiler, DML compiler, query optimizer, stored data manager and database system utilities will be discussed (DBMS architecture), as well as the classification of DBMS's according to: data model, simultaneous access, system architecture and usage.
Views: 26402 Bart Baesens
Data Mining Mysql 1 de 4
 
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Data Mining Mysql 1 de 4
Views: 1855 CachapumBitches
Oracle Big Data Toolset
 
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A short discussion about the Oracle Big Data toolset, with emphasis on the Oracle Big Data Appliance, and a demonstration of the Oracle NoSQL Database
Views: 274 gabriel ostriker
Oracle Database 12c: Enhanced Optimizer Statistics with Tom Kyte
 
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Tom Kyte discusses enhanced optimizer statistics followed by a demo of on-load statistics gathering in Oracle Database 12c. "Online Statistics Gathering for Bulk Loads" http://www.oracle.com/pls/topic/lookup?ctx=db121&id=TGSQL344 "Histograms" http://www.oracle.com/pls/topic/lookup?ctx=db121&id=TGSQL366 "CREATE TABLE ... AS SELECT" http://www.oracle.com/pls/topic/lookup?ctx=db121&id=DWHSG8317 "CREATE TABLE" http://www.oracle.com/pls/topic/lookup?ctx=db121&id=SQLRF01402
Views: 7719 OracleDBVision
Teori 15 Data Mining
 
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Views: 1 oracle db
How To Perform A Text Import With PL/SQL Developer
 
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http://oracletuts.net/ Hey guys! I am TJ Abrahamsen, with OracleTuts. In this video I will show you how you can use PL/SQL Developer from Allround Automations to import a text file, in my case a .CSV file into a simple table. This tool can be used for many types of data imports into an Oracle table. I hope you find the little video helpful. ~ TJ
Views: 23921 oracletuts
What is Data Mining
 
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Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data preprocessing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The term is a buzzword, and is frequently misused to mean any form of large-scale data or information processing (collection, extraction, warehousing, analysis, and statistics) but is also generalized to any kind of computer decision support system, including artificial intelligence, machine learning, and business intelligence. In the proper use of the word, the key term is discovery[citation needed], commonly defined as "detecting something new". Even the popular book "Data mining: Practical machine learning tools and techniques with Java"(which covers mostly machine learning material) was originally to be named just "Practical machine learning", and the term "data mining" was only added for marketing reasons. Often the more general terms "(large scale) data analysis", or "analytics" -- or when referring to actual methods, artificial intelligence and machine learning -- are more appropriate. The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection) and dependencies (association rule mining). This usually involves using database techniques such as spatial indices. These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics. For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system. Neither the data collection, data preparation, nor result interpretation and reporting are part of the data mining step, but do belong to the overall KDD process as additional steps.
Views: 51892 John Paul
Sales Forecasting with Excel and the SQL Server 2012 Data Mining Add-in Tutorial
 
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Use the Excel Data Mining add-in for SQL 2012 Analysis Services. See how simple it is to build a predictive model that forecasts sales or other values based on historical data.
Views: 12552 Edward Kench
RevenueRadar Data Mining Software
 
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RevenueRadar is a new database-mining software integrated with DealerSocket CRM . Watch to see how this powerful tool will help dealers sell more vehicles, close more ROs into the service drive, and increase customer satisfaction.
Views: 4154 DealerSocket
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: 5889 Charles Berger
Data Warehousing - An Overview
 
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This video aims to give an overview of data warehousing. It does not delve into the detail - that is for later videos. Here, you will meet Bill Inmon and Ralph Kimball who created the concept and the commercialised it respectively. You then get a quick tour of the basic concepts used in data warehousing.
Views: 320533 Andy Wicks
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: 3096 Charles Berger
Teori 15 - Data Mining
 
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Merupakan modul interactive Advance Database mengenai Teori Data Mining.
Oracle DBA
 
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Views: 83 MCGJobs
Stock Trading and Analysis using Oracle NoSQL Database
 
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This video talks about the features of Oracle NoSQL database in terms of managing Fast data and Big Data. The demo shows a Stock Trading and Analysis application built on top of Oracle NoSql Database
Views: 1925 Ashok Holla
Models for Hierarchical Data in SQL and PHP
 
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Tree-like data relationships are common, but working with trees in SQL usually requires awkward recursive queries. This talk describes alternative solutions for modeling hierarchical data that work for MySQL, including: * Adjacency List * Path Enumeration * Nested Sets * Closure Table Code examples will demonstrate using the Closure Table in PHP, and offer guidelines for choosing one design over another. PRESENTER: Bill Karwin, Principal MySQL Instructor on February 27, 2011. http://www.percona.com/webinars/2011-02-28-models-for-hierarchical-data-in-sql-and-php
Overview of Oracle Retail Reference Library
 
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A wealth of information applicable to both business analysts and architects is available in our Retail Reference Library free for Oracle Retail customers. This short video shows a demo of some of the information available in the library to aid solution implementation.
Views: 3502 Oracle Retail
Data Warehouse and Business Intelligence: OLAP Servers and Operations
 
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OLAP Servers and Operations
Views: 38657 minderchen
Black Hat USA 2005 - Advanced SQL Injection in Oracle Databases
 
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By: Esteban Martínez Fayó
Views: 721 Black Hat
Basic Star Schema design
 
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Among the most basic design skills in designing a data warehouse solution is the star schema design. What's a star schema? What are the characteristics of a good star design?
Views: 102924 Rob Kerr
What is a HashTable Data Structure - Introduction to Hash Tables , Part 0
 
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This tutorial is an introduction to hash tables. A hash table is a data structure that is used to implement an associative array. This video explains some of the basic concepts regarding hash tables, and also discusses one method (chaining) that can be used to avoid collisions. Wan't to learn C++? I highly recommend this book http://amzn.to/1PftaSt Donate http://bit.ly/17vCDFx
Views: 730784 Paul Programming
SQL Analytics - Part 1.1 Key Concepts
 
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In this podcast we review some of the key concepts around the way data sets are processed by SQL Analytics Copyright © 2013 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement.
Data mining: ultime arme du marketing
 
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Le site: http://www.nouvo.ch Le Data Mining est la méthode qui consiste à extraire et analyser les données pertinentes noyées dans une masse d'informations. Développés depuis plus de trente ans, ces algorithmes qui permettent aux équipes marketing d'anticiper les besoins des consommateurs sont devenus incontournables avec le e-commerce.
Views: 3746 Nouvo
How To: Get point-in-time data in OBIEE using Db Time Temporal (V309)
 
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Discusses Oracle Database 12c's Valid time temporal capability and how it can be leveraged in OBIEE to enable point in time querying of data.
Views: 1311 ORACLE ANALYTICS

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