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clementine dalam data mining
 
10:00
implementasi clementine dalam proses kalsifikasi data mining
Views: 743 dahna marta
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: 10529 Khalid Elshafie
Building Data Mining Model with IBM SPSS Modeler
 
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Building Data Mining Model with IBM SPSS Modeler
Views: 3789 Chuc Nguyen Van
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: 6860084 1967sander
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
Tutorial de Clementine
 
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Vídeo tutorial de la herramienta Clementine
Views: 5327 D Armando Guevara C
CZ: Data Mining Tutorial (updated)
 
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Krátký videotutoriál o tom, jak v Marketing Mineru vytvořit svůj první hromadný report.
Views: 107 Marketing Miner
SPSS CLEMENTINE
 
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ÖMER FARUK BEYCA HOCANIN 22 ŞUBAT 1.DERSİ
Views: 8621 Gökhan Baştürk
Data Mining Tutorial: Train-Test Consistency In CART
 
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https://www.salford-systems.com/products/spm Data mining train and test data consistency in CART Classification and Regression Trees software within the Salford Predictive Modeler software suite.
Views: 717 Salford Systems
CLEMENTINE SPSS
 
06:17
Views: 567 Joselynne Arias
Algoritmo k-medias usando Clementine
 
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Pasos prácticos a seguir para desarrollar un algoritmo k-medias usando SPSS Clementine
Views: 3296 Ronald G.
Building a Decision Tree with IBM SPSS Modeler
 
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Building a Decision Tree with IBM SPSS Modeler
Views: 4337 Chuc Nguyen Van
Big Data Preparation with STATISTICA
 
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Data preparation takes a lot of time in a data mining project. The performance of regular expressions and split string functions are compared when parsing text strings for values relevant to a data mining project using STATISTICA Data Miner. Data and STATISTICA Visual Basic code are available at DManswers.com
Views: 522 DManswers
SPSS CLEMENTINE 22Subat 2 Ders
 
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ÖMER FARUK BEYCA HOCANIN 22 ŞUBAT 1.DERSİ
Views: 2311 Gökhan Baştürk
Data Mining with ScreenScraper - Semalt
 
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Visit us - https://semalt.com/?ref=y #mining, #with, #data, #upupup_with, #mining_social, #data_and, #gtamovieshort_with, #piechart_data, #with_hayden, #sorteiotirolplus_data, #data_in, #oscars_with, #clash_with, #data_transfer screenscraper data mining with python screenscraper flight screenscraper screenscraper com www screenscraper c# screenscraper screenscraper flights ga screenscraper screenscraper software holiday screenscraper a screenscraper screenscraper sdk php screenscraper screenscraper car screenscraper for data mining data mining data mining java screenscraper asp.net screenscraper screenscraper studio c screenscraper big data with data mining data mining with unstructured data data mining with big data screenscraper holidays screenscraper zip data mining data mining data mining mining data data data mining mining data mining with sas data mining with sql data mining with ruby implementing data mining with r with data mining data mining with exaple data mining with clustering issues with data mining data mining with log data mining with optimization data mining with rattle data mining with spss data mining with examples data mining with r data mining with excel data mining with facebook problem with data mining data mining with weka data mining with hadoop data mining with oracle visualization with data mining data mining with access data mining with python data mining with xbrl problems with data mining data mining with mysql data mining with php data mining with rapidminer data mining with example data mining with java data mining with perl data mining with microsoft data mining with matlab data mining with ppt companies with data mining data mining with clementine healthcare with data mining ga screenscraper zip screenscraper studio serial screenscraper studio keygen screenscraper car hire screenscraper studio review data mining visual data mining data mining download data mining data mining with big data documentation wu data mining with big data data mining with r tutorial data data mining with big data modules data mining problems with data sets data mining with big data pdf data mining with big data projections data mining with big data doc data mining with big data project data mining with big data slideshare data mining challenges with big data data mining with big data abstract data mining with big data pdf995 data mining examples with weka data data mining with big data ieee data mining with big data paper data mining with big data ppt data mining with big data projects data mining with big data wikipedia data mining with big data ppts data mining with big data pptx data mining with big data wiki data mining with big data abstractions data mining data www screenscraper com screenscraper studio crack screenscraper studio download data data mining data mining data-mining mining data mining/data data - mining ubiquitous mining with interactive data mining agents data mining with rapid miner text mining launch screenscraper studio car hire screenscraper screenscraper studio key data mining twitter with r data mining with r download data mining with r ppt data mining applications with r data mining projects with abstract data mining with python tutorialspoint data mining with weka moochie consumer concerns with data mining data mining with matrix decompositions data mining with microsoft sql intrusion detection with data mining data mining with confidence spss learning data mining with r predictive analytics with data mining data mining with crystal reports data mining with r pdf data mining with sql 2005 data mining with sql server data mining with weka moocher mining data with complex structures data mining techniques with ppt data mining with r downloader data mining with rapidminer pdf data mining with weka moochies data mining with weka ppt facebook data mining with python data mining concepts with examples pdf data mining with r data mining tasks with examples data mining with association rules data mining with excel 2007 data mining with r ebook data mining with r kumaran data mining with weka mooc text mining with weka data data mining algorithms with examples data mining with apache pig data mining with criminal intent make money with data mining data mining with decision tree data mining with weka mooching data mining with weka pptp data mining with weka tutorial data mining approach with network data mining examples with wekay data mining with python tutorials
Views: 2 Uju Chakma
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 )
Views: 198 Meetupvideo UK
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: 621690 1967sander
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: 4585 Khalid Elshafie
Clementine Demo
 
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Clementine
Views: 2163 hemanthpai
The EDM song
 
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Here is the Educational Data Mining song in all its glory
Views: 737 Matt Bachmann
How To Do Data Mining With IBM SPSS Modeler - Predictive Modeling Techniques Without Programming
 
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http://bit.ly/LearnIBMSPSSModeler (This Is An Affiliate Link, So I Can Make Money If The Visitors Purchasing The Product/Service) How To Do Data Mining With IBM SPSS Modeler - Predictive Modeling Techniques Without Programming.
Views: 1760 M Ridwan
video tutorial spss clementine
 
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Descripción
Views: 1799 Horacio Leon
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: 14863 IT_CHANNEL
Clementine, c'est quoi ? Votre Expert-Comptable en Ligne !
 
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Découvrez les services de Clementine, Votre Expert-Comptable en Ligne !
Views: 876 Compta Clementine
Using IBM SPSS Modeler with Text Analytics
 
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Learn how to examine a column of unstructured text using IBM SPSS Modeler with Text Analytics
Views: 35730 Gregory Fulkerson
آموزشی کلمنتاین clementine ( دموی 4)
 
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دانلود فیلم کامل در http://goo.gl/ynPAu8
Clementine教學1
 
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Views: 1583 Chang Peng Chen
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: 482 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: 1419 Courtnee Palmer
How To Association Apriori SPSS
 
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How To Association Apriori SPSS
Views: 2913 askNavid
CONSULTA SPSS CLEMENTINE
 
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¿CUANTOS PRODUCTOS POR RANGOS DE PRECIO POR MES SE VENDIERON EN EL AÑO 2013?
Views: 68 Jenny ordoñez
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: 4573 Khalid Elshafie
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: 96479 GoNewcomp
B&D : Comment passer du Data Mining à la Data Science avec SAS
 
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BUSINESS & DECISION Gold Sponsor SAS FORUM FRANCE 2017 https://www.businessdecision.fr/ Didier Gaultier, Directeur Data science France, BUSINESS & DECISION Yann Mainvis, Business Presales Manager, SAS
Views: 346 SAS France
Import/Read Excel Data File with IBM SPSS Modeler
 
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Show how to use IBM SPSS to construct stream to read Excel data and view basic information of Boston Housing dataset
Views: 6795 IT_CHANNEL
Using SPSS Modeler to perform a market basket analysis in a Retail scenario
 
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Si deseas más información entra aquí: http://www.nexolution.com/
Views: 2146 Nexolution BA
CZ: Data Mining Tutorial
 
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Krátký videotutoriál o tom, jak v Marketing Mineru vytvořit svůj první hromadný report.
Views: 29 Marketing Miner
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: 4617 Statistica France
Civilian spy gangs, data mining, black ops economy 3of3
 
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The new Stasi is here. As both economy and morals go down, a lot of people are willing to do anything to keep their status and make an extra buck. So, we're rapidly turning into a public/private informant society, where black ops and psyops on 'dangerous' individuals are the norm. Corporations, NGOs and government agencies are going full steam with a unified, militarized program to turn North America and Europe into a full-fledged Stasi society. If you're mandated into one of these programs (I'm not talking to the weak minded people who actually volunteer or try to get contracted into these things, just to the person that finds him/herself coerced), never forget this saying by the man above: «For what shall it profit a man, if he shall gain the whole world, and lose his own soul?» FAIR USE NOTICE: This video contains copyrighted material the use of which has not always been specifically authorized by the copyright owner. We are making such material available in our efforts to advance understanding of issues of ecological and humanitarian significance. We believe this constitutes a 'fair use' of any such copyrighted material as provided for in section 107 of the US Copyright Law. In accordance with Title 17 U.S.C. Section 107, the material in this video is distributed without profit to those who have expressed a prior interest in receiving the included information for research and educational purposes. For more information go to: http://www.law.cornell.edu/uscode/17/107.shtml. lf you wish to use copyrighted material from this site for purposes of your own that go beyond 'fair use', you must obtain permission from the copyright owner.
Views: 327 LibertyTruthJustice
فیلم آموزشی مبانی داده کاوی یا Data Mining
 
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ر بسیاری از رشته های علمی و فنی، در نهایت ما با مجموعه ای از داده ها روبرو هستیم که حجم کم یا زیادی را دارند؛ اما مهم ترین کار، به دست آوردن چنین پایگاه داده ای نیست. بلکه باید بتوانیم، سطح بالاتری از دانش را با توجه به پایگاه داده مذکور به دست بیاوریم؛ این یعنی نتیجه گیری و جمع بندی تمام تلاش هایی که برای جمع آوری آن داده ها صرف شده است. اکثر دانشمندان و محققین سرشناس هر رشته علمی یا فنی، در کنار عامل خلاقیت و تخصص، یک ویژگی مشترک و بسیار مهم دارند، و آن نتیجه گیری های مهمی است که از مشاهدات و داده های جمع آوری شده ارائه کرده اند. در رشته های مختلف علمی، نظریه های بسیار مهمی که با مطالعات میدانی به دست آمده اند، همگی دارای این مولفه مشترک هستند: به دست آوردن قواعد و قوانینی که توضیحی فشرده و مفهومی از داده های در دسترس را ارائه می دهند. این عملیات، و مجموعه دیگری از کارهای مرتبط با آن، موضوع بحث یکی از زیر شاخه های مشترک علوم کامپیوتر و آمار، به نام داده کاوی یا Data Mining است. فرآیند کلی استخراج دانش از داده، معنای عام تری از داده کاوی را در بر دارد که به Knowledge Discovery from Data یا KDD معروف است. در فیلم آموزشی مبانی داده کاوی، با مروری بر مفاهیم پایه داده کاوی و مسائلی که در این حوزه مطرح است، تصویری جامع از عملیات داده کاوی و کاربردهای آن در زمینه های مختلف ارائه شده است. این موضوع، به ویژه با طرح مثال های متنوع از حوزه های مختلف، این فیلم آموزشی را تبدیل به یک مرجع آموزشی جامع و کاربردی برای اکثر مخاطبین کرده است. تمامی برنامه های این فیلم آموزشی، همچون سایر محصولات آموزشی ارائه شده در متلب سایت (فرادرس)، به صورت گام به گام و به ساده ترین شکل ممکن ارائه شده اند. مطالب این فیلم آموزشی توسط مهندس سیدمصطفی کلامی هریس (دانشجوی دکترای مهندسی برق-کنترل، دانشگاه صنعتی خواجه نصیرالدین طوسی) ارائه شده است. سرفصل های مهم‌ترین مباحث مطرح شده در این فیلم آموزشی در ادامه آمده اند: * تعریف مسأله داده کاوی و استخراج دانش از داده یا KDD * تاریخچه پیاگاه های داده و روش های داده کاوی * مراحل موجود در مسیر کشف و استخراج دانش یا Knowledge Discovery * معرفی انواع داده ها و پایگاه های داده که می توان بر روی آن ها داده کاوی انجام داد * بررسی انواع الگوهای قابل شناسایی در داده ها * بررسی روش های موجود برای حل انواع مسائل داده کاوی * معرفی ویژگی های مهم و مطلوب در الگوهای کاوش پذیر * بررسی دشواری ها و مشکلات موجود در مسیر داده کاوی این فیلم آموزشی، بخشی از یک محصول بزرگ تر، یعنی بسته طلایی فیلم های آموزشی داده کاوی یا Data Mining در متلب است. کلمات کلیدی: Data Mining, Data Mining in MATLAB, KDD, Knowledge Discovery, Knowledge Discovery from Data, استخراج دانش, داده کاوی, داده کاوی در متلب, مبانی داده کاوی, کاوش دانش, کشف دانش برای کسب اطلاعات بیشتر، لینک زیر را ببینید: http://matlabsite.com/mvrdm9206
Views: 2834 matlabsite
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: 97 Mario Andrés
OEMF2015 - Day 2 - PLENARY: Jim Keravala - Shackleton Energy Company Inc
 
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For more info on the 2nd Off Earth Mining Forum see http://www.acser.unsw.edu.au/oemf2015 In 1995, LtCol Dale Tietz and Dr. Bill Stone reviewed the data from the Clementine satellite mission for the first time together. Tietz, who had directed space-based portions of the Pentagon's Strategic Defense Initiative (SDI) program, pointed out the strong possibility that constituents of water were detected by bistatic radar returns at the South Pole of the Moon––specifically at Shackleton crater. NASA and SDI scientists were ecstatic! In the Clementine and Lunar Prospector data Stone realized––that with unlimited quantities of lunar ice in the deep, cold trap craters––the opportunity to generate large quantities of rocket propellants at Shackleton and Low Earth Orbit (LEO) to refuel vehicles in cis-lunar space. The real moneymaker was to ship raw water to LEO for processing into liquid oxygen/liquid hydrogen propellants to then sell at significantly reduced prices than anything available on Earth--on demand--to all space farers. The advent, beginning in the fall of 2004, of a viable and burgeoning space tourism industry bent on delivering paying passengers to eventual hotels in LEO and beyond, convinced the team that it was finally time to go public with the concept. In March of 2007, Stone discussed the topic at the TED conference in Monterey, California along side Richard Branson. In 2008 Shackleton Energy Company was founded with Jim Keravala who expanded the project into a full space infrastructure program. The SEC Business Plan is complete and we are now in discussions with investors throughout the world. --- Jim comes to SEC with an exemplary 25 year background in space development and operations. Instrumental in the launch of over a dozen satellites, he was also involved in the establishment of new space programs for emerging space nations. Jim combines systems engineering and entrepreneurial drive to build long term infrastructure vision based upon near term capital requirements in his role as architect of SEC's program. Jim also leads SEC's Middle Eastern, European and Russian operations teams.
Views: 108 ACSER UNSW
Clementine.avi
 
01:05
How to use Clementine audio player? Local and Online music. http://www.linuxzanasostale.com/
Views: 287 LinuxZaNasOstale
Walking Dead The final Season - Future SFX Files. *MAJOR SPOILERS*
 
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Walking Dead Datamining and Leaks Discord server: https://discord.gg/3KPwFdT These are just some of the most interesting SFX Files I could find. Will probably all be used for Future Episodes. Some character voices may not all be the english variation. And just because its a sound of someone dying. Doesnt mean they die... Could just be a QTE Fail.
Views: 6790 ZombieAli