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clementine dalam data mining
 
10:00
implementasi clementine dalam proses kalsifikasi data mining
Views: 946 dahna marta
Building Data Mining Model with IBM SPSS Modeler
 
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Building Data Mining Model with IBM SPSS Modeler
Views: 4572 Chuc Nguyen Van
Association Rule Mining (Arabic)- A.B.O.L.K.O.G
 
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Lesson 2: Using Clementine for Association Rule Mining Related: Introduction : http://www.youtube.com/watch?v=mG1ef9fZ-kk For more visit us: http://www.abolkog.com
Views: 11173 Khalid Elshafie
Preprocessing Data Mining Menggunakan Clementine
 
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Tugas Kelompok Data Mining Ilmu Komputasi IK-36-GAB02 Data set : Mammographic Mass Data Set Damarsasi Cahyo Wilogo (1107120128) Farid Al Ghifari (1107120123) Ihsan Hasanudin (1107120117) Jeshurun Eliezer Cursoy (1107120040)
Views: 254 Damarsasi Wilogo
Clementine Demo
 
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Clementine
Views: 2187 hemanthpai
Clementine مقدمة عن- A.B.O.L.K.O.G
 
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مقدمة عن كيفية إستخدام Clementine ------------------------- From : http://www.abolkog.com -------------------------- كيفية إستخدام ويكا Weka: http://www.youtube.com/watch?v=VMpbw2ffCf4 By Ibrahim Musa
Views: 4876 Khalid Elshafie
SPSS Modeler Tutorial 1 - Part1
 
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This tutorial is made by Center for Marketing Engineering, The Chinese University of Hong Kong. Objectives of Tutorial 1: 1. Learn basic skills of SPSS Modeler 2. Learn RFM Analysis of SPSS Modeler Data for master 2015: https://www.dropbox.com/s/rl9og69eef18t4t/SPSS%20Modeler%20Tutorial%201.zip?dl=0 Data for Undergraduate 2016: https://www.dropbox.com/s/tajyuwhj0usfdnk/SPSS%20Tutorial%20Fall%202016.rar?dl=0
The biggest secret of mankind - The Clementine conspiracy a.k.a. Project Golden Dragon
 
01:00:48
Updated version of Extraterrestrial technology on the Moon a.k.a. "Project Golden Dragon". Before you watch this video please read this message: This project is based on a personal "theory" about a major conspiracy by the US Department of Defense, a whistle-blower who left cryptographic clues and finally complete exposure of an obfuscated object found in the Zeeman crater. * * * This is no scientific build disclosure (yet). * * * This presentation is the result of 14 years of research; collecting 17Gb of data, analyzing and making enhancements using high-end forensic image enhancement software. I needed a very long time myself to look past the strange shape. Do not expect to see the machine immediately. Your eyes and mind need time to adapt so take your time and try not to think too hard of alien technology. You probably have an expectation what "technology on the Moon" may look like but this machine is unlike anything you have ever seen. In order to see it you must A) be willing to accept the impossible, B) free your mind and C) capable of "out of the box" thinking. Note: I cannot promise that you will see the alien technology. All depends on your willingness to accept that there is life outside Earth atmosphere. Only users who are fully open to extraterrestrial technology and who are able to watch this video without prejudice will have a better chance to comprehend the images. English is not my native language, so perhaps Roc Hatfield, author of 2 books "Ancient man On the Moon" and "Moon Base Cover Up?" may have a proper description of what to expect: "Our brains are not used to seeing Alien Technology so it might take a few minutes to see it. It is clearly a vast machine. I was able to make out a number of features after looking at it for a long time. It is made of thousands of inter-locking plates, like scales on an alligator. I believe this allows it to undulate like a snake or caterpillar. The machine is so long that it needs to flex in order to set flat on the lunar surface. If it was ridged it would be like a pencil on a basketball, both ends would be in the air when the middle was on the ground. By being flexible it can wrap it's huge length around the curvature of the Moon's surface. The machine is a mining crawler that takes in moon material at the front using a giant gantry and processes it on board in a massive on board factory. I believe the machine can fly and has been to earth in the past. Could be the dragons seen by ancient Chinese people. It looks like a dragon from the side". That really was a thorough description but please let me clarify something. Why do I call this machine a dragon? Because someone many centuries ago decided to call it that way. Why does it look like a dragon? Because someone many centuries ago decided that it should look that way. So is it a dragon? I do not know. If someone many centuries ago would have called it a rabbit, this machine now would be a rabbit. So, my dear friends, it is a just a name. Mr. Hatfield explained it very well why our machine looks the way it does and why it has these numeorus scales so before people start telling me that this is all fantasy watch the entire video before criticizing. Statistics show that very few really take time to watch the video. If you do not appreciate the voice, fine watch the much longer, original narrated version instead. Watching snippets of the video will only raise eyebrows as it does not show you the full story behind it. My conclusions are based on facts but they are non-scientific build and for those who decide to watch the video entirely, these viewers will understand that I did not build my theory entirely on a single gray-scale picture. I know that there are still a lot of unanswered questions for which I do not have a satisfying answer. After all I am no scientist and as I never wrote a paper in my life (probably never will) for me this personally is already some major achievement. From ALL your comments I will create a sequel and try to give throrough explanations but I might not have an answer for every question. I am still full of questions myself. I have no political agenda and I am only interested in the truth. Please note that I ban people and remove those comments that do not apply to the rules of this channel. The rules are listed in ABOUT. http://www.youtube.com/user/1967sander/about Finally: I am NOT doing this for making money: My Playback-based gross revenue is $0.00* Enjoy the presentation and spread the news! Make this disclosure to a success! A free downloadable ebook (epub) with several hundreds of images will be released 2017/2018! Greetz, Sander
Views: 6890814 1967sander
Fundamentals of Data Mining and the Open Software Question
 
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Speaker: Tom Khabaza Tom will introduce the fundamentals of data mining: its applications, the process and the underlying principles, and apply this to data analysis tools. Using a “magic quadrant” for analytical tool design, Tom will overview a number of open and commercial tools, compare their strengths and weaknesses, and suggest how to place open data analysis tools at the top of the data mining heap. Bio: Tom Khabaza, sometimes called “the Isaac Newton of Data Mining” is the Founding Chairman of the Society of Data Miners. A data mining veteran of 25 years and many industries and applications, Tom helped create the world-leading Clementine data mining workbench (now called IBM SPSS Modeler) and the industry standard CRISP-DM analytics methodology, and led the first integrations of data mining and text mining. His recent thought leadership includes the 9 Laws of Data Mining and Predictive Analytics Strategy. ---- SUBSCRIBE to get the latest meetup videos: http://bit.ly/MVUKSubscribe ---- Video by Meetupvideo ( https://www.meetupvideo.com )
TUTORIAL CLEMENTINE
 
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Views: 186 cristhian ivan
Constructing Predictive Model Using IBM SPSS Modeler
 
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This tutorial shows steps to construct a predictive model using IBM SPSS Modeler. We use the Boston Housing dataset for our illustration. In addition, we also discuss how to evaluate the performance of the model using different nodes such as Graph Evaluation and Data Analysis Node. I hope you enjoy it and please let me know if you have any questions. Thanks for watching. Dataset can be downloaded from here: https://drive.google.com/open?id=1slSxq8Dxq8Xy8W6l84zl17r-bJjKv3MI
Views: 19991 THE IT CHANNEL
Clementine (spacecraft) - Video Learning - WizScience.com
 
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"Clementine" ) was a joint space project between the Ballistic Missile Defense Organization and NASA. Launched on January 25, 1994, the objective of the mission was to test sensors and spacecraft components under extended exposure to the space environment and to make scientific observations of the Moon and the near-Earth asteroid 1620 Geographos. The Geographos observations were not made due to a malfunction in the spacecraft. The lunar observations made included imaging at various wavelengths in the visible as well as in ultraviolet and infrared, laser ranging altimetry, gravimetry, and charged particle measurements. These observations were for the purposes of obtaining multi-spectral imaging of the entire lunar surface, assessing the surface mineralogy of the Moon, obtaining altimetry from 60N to 60S latitude, and obtaining gravity data for the near side. There were also plans to image and determine the size, shape, rotational characteristics, surface properties, and cratering statistics of Geographos. Clementine carried seven distinct experiments on-board: a UV/Visible Camera, a Near Infrared Camera, a Long Wavelength Infrared Camera, a High Resolution Camera, two Star Tracker Cameras, a Laser Altimeter, and a Charged Particle Telescope. The S-band transponder was used for communications, tracking, and the gravimetry experiment. The project was named Clementine after the song "Oh My Darling, Clementine" as the spacecraft would be "lost and gone forever" following its mission. Wiz Science™ is "the" learning channel for children and all ages. SUBSCRIBE TODAY Disclaimer: This video is for your information only. The author or publisher does not guarantee the accuracy of the content presented in this video. USE AT YOUR OWN RISK. Background Music: "The Place Inside" by Silent Partner (royalty-free) from YouTube Audio Library. This video uses material/images from https://en.wikipedia.org/wiki/Clementine+(spacecraft), which is released under Creative Commons Attribution-Share-Alike License 3.0 http://creativecommons.org/licenses/by-sa/3.0/ . This video is licensed under Creative Commons Attribution-Share-Alike License 3.0 http://creativecommons.org/licenses/by-sa/3.0/ . To reuse/adapt the content in your own work, you must comply with the license terms.
Views: 265 Wiz Science™
CZ: Data Mining Tutorial
 
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Krátký videotutoriál o tom, jak v Marketing Mineru vytvořit svůj první hromadný report.
Views: 35 Marketing Miner
Data Mining For Thesis
 
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-- Created using PowToon -- Free sign up at http://www.powtoon.com/join -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 672 Suyeon Jung
Classification [ARABIC]- A.B.O.L.K.O.G
 
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Classification in data mining tutorial. Related: Association Roles Mining: http://www.youtube.com/watch?v=LorlraIiRAM&feature=player_embedded For more tutorials: http://www.abolkog.com
Views: 4929 Khalid Elshafie
Extraterrestrial technology on the Moon
 
01:34:13
Before you watch this video please read this message: This project is based on a personal "theory" about a major conspiracy by the US Department of Defense, a whistle-blower who left cryptographic clues and finally complete exposure of the obfuscated object found in the Zeeman crater. * * * This is no scientific build disclosure (yet). * * * What I show you is the result of 14 years of collecting data, analyzing and making image enhancements. I cannot promise you that you will see the alien object. I needed a long time myself to see the strange shape so do not expect to see it immediately. Take your time and try not to think of extraterrestrial technology when you watch. You probably already have an expectation what "technology on the Moon" looks like but it is unlike anything you ever seen, so clear your mind and try to "think out of the box". Roc Hatfield, author of 2 books "Ancient man On the Moon" and "Moon Base Cover Up?" may have a proper description: "Our brains are not used to seeing Alien Technology so it might take a few minutes to see it. It is clearly a vast machine. I was able to make out a number of features after looking at it for a long time. It is made of thousands of inter-locking plates, like scales on an alligator. I believe this allows it to undulate like a snake or caterpillar. The machine is so long that it needs to flex in order to set flat on the lunar surface. If it was ridged it would be like a pencil on a basketball, both ends would be in the air when the middle was on the ground. By being flexible it can wrap it's huge length around the curvature of the Moon's surface. The machine is a mining crawler that takes in moon material at the front using a giant gantry and processes it on board in a massive on board factory. I believe the machine can fly and has been to earth in the past. Could be the dragons seen by ancient Chinese people. It looks like a dragon from the side". My conclusions are based on facts (though non-scientific build) and there are still a lot of unanswered questions for which I do not have an answer. Also: I cannot promise you that you will see what I do, or as other people did. Either you see the alien technology or you dont. All I am offering is the truth. Nothing more. The full one hour interview on Las Vegas Radio is here: http://youtu.be/ciZtgW7JrKk Greetz, Sander
Views: 627678 1967sander
Arboles de decisión usando Clementine
 
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Videotutorial de SPSS Clementine usando un caso práctico para Arboles de decisión. El SPSS Clementine es una poderosa herramienta para la minería de datos donde las bases son la Estadistica y la Inteligencia Artificial.
Views: 12118 Ronald G.
CLEMENTINE SPSS
 
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Views: 628 Joselynne Arias
Algorithmic Bias: From Discrimination Discovery to Fairness-Aware Data Mining (Part 2)
 
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Authors: Carlos Castillo, EURECAT, Technology Centre of Catalonia Francesco Bonchi, ISI Foundation Abstract: Algorithms and decision making based on Big Data have become pervasive in all aspects of our daily lives lives (offline and online), as they have become essential tools in personal finance, health care, hiring, housing, education, and policies. It is therefore of societal and ethical importance to ask whether these algorithms can be discriminative on grounds such as gender, ethnicity, or health status. It turns out that the answer is positive: for instance, recent studies in the context of online advertising show that ads for high-income jobs are presented to men much more often than to women [Datta et al., 2015]; and ads for arrest records are significantly more likely to show up on searches for distinctively black names [Sweeney, 2013]. This algorithmic bias exists even when there is no discrimination intention in the developer of the algorithm. Sometimes it may be inherent to the data sources used (software making decisions based on data can reflect, or even amplify, the results of historical discrimination), but even when the sensitive attributes have been suppressed from the input, a well trained machine learning algorithm may still discriminate on the basis of such sensitive attributes because of correlations existing in the data. These considerations call for the development of data mining systems which are discrimination-conscious by-design. This is a novel and challenging research area for the data mining community. The aim of this tutorial is to survey algorithmic bias, presenting its most common variants, with an emphasis on the algorithmic techniques and key ideas developed to derive efficient solutions. The tutorial covers two main complementary approaches: algorithms for discrimination discovery and discrimination prevention by means of fairness-aware data mining. We conclude by summarizing promising paths for future research. More on http://www.kdd.org/kdd2016/ KDD2016 conference is published on http://videolectures.net/
Views: 934 KDD2016 video
Tutorial de Clementine
 
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Vídeo tutorial de la herramienta Clementine
Views: 5395 D Armando Guevara C
Constructing Classification and Regression Tree (CART) Using IBM SPSS Modeler
 
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In this tutorial, I will show you how to construct and Classification and Regression Tree (CART) for data mining purposes. We show through example of bank loan application dataset. We then will show steps to explore and interpret the constructed tree. I hope that help and let me know if you have any questions. Thanks.
Views: 18532 THE IT CHANNEL
CZ: Data Mining Tutorial (updated)
 
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Krátký videotutoriál o tom, jak v Marketing Mineru vytvořit svůj první hromadný report.
Views: 619 Marketing Miner
How to install Clementine 1.3.1 on Ubuntu 18.04
 
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This video covers the method to install Clementine 1.3.1 on Ubuntu 18.04. Clementine is a free, cross-platform music player and library organizer which is a port of Amarok 1.4. For more explanation on this video: https://www.linuxhelp.com/how-to-install-clementine-1-3-1-on-ubuntu-18-04/
Views: 497 Linux Help
video tutorial spss clementine
 
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Descripción
Views: 1979 Horacio Leon
How the CIA Stole a Soviet Nuclear Submarine: What was Project Azorian?
 
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How did the U.S. steal a sunken nuclear submarine? Right out from under the nose of the Soviet Union... Subscribe now: http://bit.ly/DarkDocs Cool thumb details: The Hughes Mining Barge, or HMB-1, is a submersible barge about 99 m (324 ft) long, 32 m (106 ft) wide, and more than 27 m (90 ft) tall. The HMB-1 was originally developed as part of Project Azorian (more widely, but erroneously, known as "Project Jennifer"), the top-secret effort mounted by the Central Intelligence Agency to salvage the remains of the Soviet submarine K-129 from the ocean floor. The HMB-1 was designed to allow the device that would be used to grasp and lift the submarine to be constructed inside the barge and out of sight, and to be installed in the Glomar Explorer in secrecy. This was done by towing the HMB-1, with the capture device inside, to a location near Catalina Island (off the coast of California), and then submerging it onto stabilizing piers that had been installed on the seafloor. The Glomar Explorer was then maneuvered over the HMB-1, the retractable roof was opened, and the capture device lifted into the massive "moon pool" of the ship, all within clear sight of people on the beach ------- DarkDocs is a new narrated documentary video from Dark5 taking an in-depth look at at some of the most mysterious stories on Earth. This week: Project Azorian, the Glomar Explorer, and the mysterious CIA to recover the lost Soviet submarine, K-129. It’s March 1968. An unexplained event causes a Soviet Golf-II submarine known as the K-129 to sink to the bottom of the Pacific Ocean while enroute to its patrol station off the coast of Hawaii. Publicly, no one in the world knew what happened, where the submarine was, or what secrets might be hidden on board. Behind the scenes, however, reporters caught wind of a classified US government operation to pry the wreckage from the floor with a giant claw and uncover whatever secret technology might be hidden within. The mission was codenamed Project Azorian, and it was launched from a covert ship named the Glomar Explorer. Pressed for comment on the operation, a US government spokesman flatly replied, [quote] “We can neither confirm nor deny the existence of the information requested but, hypothetically, if such data were to exist, the subject matter would be classified, and could not be disclosed…"
Views: 807749 Dark Docs
Creating a Decision Tree with IBM SPSS Modeler
 
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This clip demonstrates the use of IBM SPSS Modeler and how to create a decision tree. Such a tool can be a useful business practice and is used in predictive analytics. Please visit www.newcomp.com for more information.
Views: 102376 GoNewcomp
Clementine教學1
 
06:40
Views: 1621 Chang Peng Chen
SPSS CLEMENTINE
 
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ÖMER FARUK BEYCA HOCANIN 22 ŞUBAT 1.DERSİ
Views: 9029 Gökhan Baştürk
Seven secrets of SPSS Modeler
 
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This video is the first in a series offering insight into some under-used or little-used cool functions in SPSS Modeler software. This is particularly aimed at either 1) existing users (especially the self-taught) 2) people who have looked at/evaluated the software in the past 3) people who use similar software but are curious about stuff like this. In this first video you can learn about:- 1. The Data Audit Node: The ‘Swiss army knife’ of data cleaning 2. The ‘Generate’ menu: The super quick way to create new fields 3. The Filter Node: Zaps Awkward Fields 4. The Graphboard Node: A Visualisation Goldmine 5. The Simulation Nodes: Makes ‘What if’ analysis easy 6. The Reclassify Node: Cleaning categories has never been easier 7. The ‘Split’ Role: Separate models for separate groups
Views: 15007 Smart Vision Europe
Algoritmo k-medias usando Clementine
 
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Pasos prácticos a seguir para desarrollar un algoritmo k-medias usando SPSS Clementine
Views: 3371 Ronald G.
Moon Mine Of Clementine?.  NASA Image 2018HD
 
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Halls of the Undead by Kevin MacLeod is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100355 Artist: http://incompetech.com/
Views: 371 Alien Hunter
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: 520272 Victor Lavrenko
Mineria de Datos con Clementine y Datamine Studio 3 con base de datos SQL Server
 
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Taller de Mineria de Datos Clementa y Datamine Studio 3 con base de datos SQL Server
Views: 338 Iza Cintya
Clementine.avi
 
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How to use Clementine audio player? Local and Online music. http://www.linuxzanasostale.com/
Views: 290 LinuxZaNasOstale
Building a Decision Tree with IBM SPSS Modeler
 
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Building a Decision Tree with IBM SPSS Modeler
Views: 5773 Chuc Nguyen Van
Physics Project - Clementine
 
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Here is a physics project we had to do. Hope u like it!!!!! I DO NOT OWN ANYTHING!!!!!! ALL MUSIC BELONGS TO ITS RIGHTFUL OWNERS!!! Resources: http://setas-www.larc.nasa.gov/CLEM/dspse.html http://nssdc.gsfc.nasa.gov/planetary/clementine.html http://solarsystem.nasa.gov/missions/profile.cfm?Target=Asteroids&MCode=Clementine http://lunar.gsfc.nasa.gov/gallery-historical.html htpps://llnl.gov/etr/pdfs/06_94.1pdf Song: Clementine Artist: Westlife
Views: 490 SoulStealerSlayers
Otis missing Clementine
 
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Clementine passed away tonight at 10:31 pm. She was Otiss' very best friend. He was outside when it happened. This is what happened when saw her.
Views: 1422 Courtnee Palmer
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: 94894 fun 2 code
Veri Madenciliğine Giriş, Veri Madenciliği Nedir
 
09:25
Veri madenciliği serisinin ilk videosuna hoşgeldiniz :) Bu seride farklı veri madenciliği algoritmalarının SPSS Modeler (Clementine) ile uygulamalarını yapacağız. İlk videomuz oldukça üstünkörü bir biçimde veri madenciliğini açıkladığım video oldu.. Abone olmak ve gelecek videolardan haberdar olabilmek için linke tıklayabilirsiniz: https://www.youtube.com/channel/UCFH3gPaFetVFPHOiU5tUj8g?sub_confirmation=1
EVIDENCE OF MOON BANDING taken by the Clementine Orbiter
 
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THE MOON IS ARTIFICIALLY MADE . THESE ARE IMAGES FROM THE CLEMENTINE ORBITER SHOWING HOW THEY ARE JOINT TOGETHER. THIS EVIDENCE IS KNOWN BY FEW OUTSIDE NASA Initial work by J. P. Skipper, excellent investigator, but? doesn't want know who they are? he's stuck in first gear
Views: 209 KIKETEVECU2
Poker Night 2 OST - Training Clementine (The Walking Dead)
 
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A cover of 'Training Clementine' from Telltale Games' The Walking Dead: Season One, part of the in-game soundtrack created for Telltale Games' Poker Night 2, composed/covered by Jared Emerson-Johnson. Also known as "mus_wd_trainingclementine". Due to the game's withdrawal from storefronts, here's a download link of the extracted music files (As well as Soundcloud rips from Bay Area Sound's Soundcloud page): https://www.mediafire.com/file/ga5bl2k6x5nj6p1/PK2_MC_%2528MP3_%2526_FSB_Files%2529.7z If you happen to have the game in your Steam library and seek the broader audio data, use the Telltale Music Extractor (also extracts SFX): http://quickandeasysoftware.net/software/telltale-music-extractor If the desirable voice files are also of your interest, use the Telltale Speech Extractor: http://quickandeasysoftware.net/software/telltale-speech-extractor
Views: 3388 Bizarchivist
Consulta SPSS Clementine
 
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Ejemplo para realizar una consulta en el programa SPSS Clementine. Requerimientos utilizados por facultades y por carreras.
Views: 108 Mario Andrés
آموزشی کلمنتاین clementine ( دموی 3)
 
02:12
دانلود فیلم کامل در http://goo.gl/ynPAu8
50 Satırda Veri Madenciliği | Data Mining in 50 Lines
 
09:04
50 satırda internetten meteoroloji verilerini çektiğim Python kodlarının nasıl çalıştığını açıkladım. Kodların GitHub bağlantısı aşağıda. Bana internet adresimden ulaşabilirsiniz. İnternet Sitesi: http://mahiryildizhan.com/ GitHub: https://github.com/m4h1r/Meteoroloji I'll add Eng subtitles as soon as possible. GitHub Codes below. Homepage: http://mahiryildizhan.com/ GitHub: https://github.com/m4h1r/Meteoroloji
Views: 205 Mahir Yıldızhan

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