• Week 6: Knowledge Engineering and Data Mining

    Ryan Baker discusses knowledge engineering and data mining for week 6 of DALMOOC.

    published: 12 Nov 2014
  • FAU CEECS Data Mining and Machine Learning and Empirical Software Engineering Lab

    Florida Atlantic University Department of Computer and Electrical Engineering and Computer Science Data Mining and Machine Learning and Empirical Software Engineering Lab

    published: 14 Jul 2009
  • Maximize Plant Performance: Data Mining to Implement a Better O&M Strategy

    In this webinar AWS Truepower President, Dr. Bruce Bailey, and Chief Engineer, Daniel Bernadett, discuss how performance issues can be addressed through diagnostic data mining. They share a case study demonstrating how the implementation of diagnostic techniques led to increased overall performance at a wind facility by modifying the operations and maintenance strategy.

    published: 15 Jul 2014
  • Engineer Heavy Gun Weapon Models ► Wildstar ► Galaxy Library Datamined

    Today we're doing a bit of noobie data mining to take a look at all of the different Engineer heavy gun models found within Wildstar. We'll look at all the high end and low end heavy gun weapons currently in the game so you can see how bad ass your future Wildstar Engineer will be! Oh yeah. Download Galaxy Library for yourself: http://www.curse.com/ws-addons/wildstar/220109-galaxy-library See more of my content: Subscribe ► http://bit.ly/11oGJFf Ask me a question or suggest a video: Twitter ► https://twitter.com/fevirgaming Connect with me on: G+ ► http://google.com/+FevirGaming Be my bro: Buy me a Beer ► http://bit.ly/176UTOk If you are looking for more helpful Wildstar videos showcasing guides, helpful information and the like. Check out more Wildstar Primers! Wildstar Primer P...

    published: 05 Apr 2014
  • Is Data Science A Viable Career Path?

    I am doing a bachelor of computer science and have not yet chosen a discipline to major in. My lecturer mentioned the disciplines and one grabbed my attention: Data Science. He explained how data science is the future of technology and gave some examples. Do you believe that data science is the future and can you please explain what it is in a little more detail? -Abraham A. Schedule a Skype Meeting with Eli: https://silicondiscourse.com Podcasts of New Videos at SoundCloud: https://soundcloud.com/elithecomputerguy To Ask Questions Email: Question@EliTheComputerGuy.com For Classes, Class Notes and Blog Posts: http://www.EliTheComputerGuy.com Visit the Main YouTube Channel at: http://www.YouTube.com/EliTheComputerGuy Follow us on Twitter at: http://www.Twitter.com/EliComputerGuy ***...

    published: 04 Apr 2016
  • Data Mining - Emotional Noise to Uncloud A/V Emotion Perceptual Eval. | MconneX | Lectures On-Demand

    Emily Mower - Provost, Computer Science and Engineering at the University of Michigan The 4th University of Michigan Data Mining Workshop Sponsored by Computer Science and Engineering, Yahoo!, and Office of Research Cyberinfrastructure (ORCI) Faculty, staff, and graduate students working in the fields of data mining, broadly construed. This workshop will present techniques: models and technologies for statistical data analysis, Web search technology, analysis of user behavior, data visualization, etc. We speak about data-centric applications to problems in all fields, whether it is in the natural sciences, the social sciences, or something else. MORE: Watch additional Lectures On Demand or join the discussion at http://mconnex.engin.umich.edu/lectures/

    published: 19 Feb 2014
  • What is knowledge engineering? - Department of Data Science and Knowledge Engineering

    Prof. Dr. Gerhard Weiss, chair of the Department of Data Science and Knowledge Engineering at Maastricht University, explains what knowledge engineering exactly is.

    published: 29 Feb 2016
  • Data Mining with modeFRONTIER

    Data Mining is the process of analyzing a database from different perspectives: designs, statistical and distribution analysis charts, response surfaces algorithms and more allow the engineer to extract the benefit from often complex and hard to understand data. Information from complex numerical data, generated by parametric or optimization studies, can easily be projected onto sophisticated charts in modeFRONTIER’s Design Space, which is now available as the standalone application - modeSPACE – thus allowing efficient license and role management.

    published: 05 Apr 2017
  • Engineering Data Analysis (with R and ggplot2)

    Google Tech Talk (more info below) June 6, 2011 Presented by Hadley Wickham, Assistant Professor, Dobelman Family Junior Chair, Department of Statistics, Rice University. ABSTRACT Data analysis, the process of converting data into knowledge, insight and understanding, is a critical part of statistics, but there's surprisingly little research on it. In this talk I'll introduce some of my recent work, including a model of data analysis. I'm a passionate advocate of programming that data analysis should be carried out using a programming language, and I'll justify this by discussing some of the requirement of good data analysis (reproducibility, automation and communication). With these in mind, I'll introduce you to a powerful set of tools for better understanding data: the statist...

    published: 14 Jun 2011
  • Top 10 High Paying Software Jobs - Check Out What It takes ?

    Top 10 High Paying Software Jobs - Check Out What It takes ? Watch this video to find out highest paying software jobs. If you're a software engineer, database admin, a data scientist, fronted developer, designer or a mobile developer, find how much is the average annual pay for your skill sets. #10 .Net Developer - $84,000 What It takes ? Programming expe in ASP .NET MVC Basic knowledge in Html,CSS Jquery/Java Scripts, Bootstrap Working knowledge of Databases MS SQL, Oracle, NoSql, mongoDB Creating setups and exe. # 09 Database Admin - $87,000 What It takes ? Understanding of structured query language (SQL) Experience with RDBMS Assist in database design Manage Databases Maritain security and integrity of databases Database Security Upgrades and Installs Deployment...

    published: 18 Jan 2017
  • Data Mining

    Entrevista com os professores Wagner Meira Jr e Mohammed Zaki

    published: 11 Aug 2014
  • Hoda Eldardiry - predictive analytics, machine learning, data mining at PARC

    Hoda Eldardiry (PhD Purdue) talks about her work on predictive analytics, using machine learning and data mining at Palo Alto Research Center (PARC).

    published: 26 Aug 2016
  • Data Mining and Business Intelligence for Cyber Security Applications Summer Program at BGU

    The purpose of the Summer Program in Data Mining and Business Intelligence is to provide both theoretical and practical knowledge, including tools, on data mining. The program offers two academic courses (each for 3 credits), where students learn the basic tools of data mining and the utilization of machine learning techniques for solving cyber security problems. The program includes a mandatory one week internship at BGU’s Cyber Security Research Center. The internship corresponds with the course materials and contributes the practical experience component. In addition, students will take part in professional fieldtrips to leading companies, in order to enhance their understanding of data mining and cyber security To Apply: https://www.tfaforms.com/399172 For More information: www.bgu....

    published: 13 Dec 2016
  • Mining Structures from Massive Text Corpora

    Author: Jiawei Han, Department of Computer Science, University of Illinois at Urbana-Champaign More on http://www.kdd.org/kdd2016/ KDD2016 Conference is published on http://videolectures.net/

    published: 09 Nov 2016
  • Data mining-Map Reduce

    MapReduce is a programming model for processing large data sets, and the name of an implementation of the model by Google. MapReduce is typically used to do distributed computing on clusters of computers. The model is inspired by the map and reduce functions commonly used in functional programming, although their purpose in the MapReduce framework is not the same as their original forms. MapReduce libraries have been written in many programming languages. A popular free implementation is Apache Hadoop. MapReduce is a framework for processing parallelizable problems across huge datasets using a large number of computers (nodes), collectively referred to as a cluster (if all nodes are on the same local network and use similar hardware) or a grid (if the nodes are shared across geographicall...

    published: 20 Mar 2013
  • MSc Data Engineering

    A focus on the University of Dundee's MSc in Data Engineering. Hear from staff and students and view our world class facilities. Learn about what it's like to study in the city of Dundee.

    published: 29 Apr 2015
  • 28c3: Reverse Engineering USB Devices

    Download high quality version: http://bit.ly/t1DffU Description: http://events.ccc.de/congress/2011/Fahrplan/events/4847.en.html Drew Fisher: Reverse Engineering USB Devices While USB devices often use standard device classes, some do not. This talk is about reverse engineering the protocols some of these devices use, how the underlying USB protocol gives us some help, and some interesting patterns to look for. I'll also detail the thought processes that went into reverse engineering the Kinect's audio protocol. This talk will narrate the process of reverse engineering the Kinect audio protocol -- analyzing a set of USB logs, finding patterns, building understanding, developing hypotheses of message structure, and eventually implementing a userspace driver. I'll also cover how...

    published: 28 Dec 2011
  • Performing Analysis: Spatial Data Mining II: A Deep Dive Into Space-Time Analysis

    We will cover Space-Time Pattern Mining techniques including aggregating your temporal data into a space-time cube, Emerging Hot Spot Analysis, Local Outlier Analysis, best practices for visualizing your space-time cube and strategies for interpreting and sharing your results.

    published: 04 Aug 2016
  • Advanced-and Easy!-BI with Excel and SQL Server Data Mining

    Predictive Analytics is the hottest subject in BI. It uncovers hidden, yet valuable patterns in your data. For example, with a few clicks in Excel, and with the power of SQL Server behind it, you can discover which demographic characteristics drive your customers' profitability. Or, using a different model, you can judge the creditworthiness of a business transaction. Or, you can predict which sale is likely to fall-through, or even predict fraud, or churn. Or, with a powerful dependency network visualisation, you can find out which of your products are truly pivotal to your business, best of all, looking at them from your shoppers' perspectives. This session will start with an overview of the amazingly powerful Microsoft data mining client that is available, free of charge, in Excel. Afte...

    published: 21 Jul 2014
  • Data Analytics in Virtual Reality… Because Why Not?

    Goodness gracious, great walls of data! Looker's engineering team is always pushing the boundaries to find new and exciting ways to explore data, even in Virtual Reality. Join Looker engineer Wil Gieseler on a journey through the virtual world of data in LookVR. Explore data tables, virtual scatter plots, data lakes, mounds of money, and mountains of live data, all made possible through Looker's API. Learn more about how you can start exploring at: looker.com/vr

    published: 08 Feb 2017
  • Optimizing Git LFS Migration Through Repository Data-mining

    Does your company struggle under the weight of HUGE repositories and slow clone times? Do you have developers distributed around the world, sharing repositories? Join Michael Monsen, DevOps Engineer at Hexagon Manufacturing Intelligence, and learn how they migrated a huge code base from Mercurial to Git. Using data about their files, they migrated to Git LFS while striking a balance between file size and developer convenience. The results turned out to be a lot different than what they expected before examining the data!

    published: 13 Sep 2017
  • Rare Creatures and Lost Assets - Data Mining Gw2

    First of all a big thanks to that_shaman on reddit who found all this stuff! Links: https://www.guildwars2.com/en-gb/the-game/releases/october-15-2013/ Chris and the feedback initiative: https://forum-en.guildwars2.com/forum/game/gw2/Collaborative-Development/page/21#post3021865 The reddit thread: http://www.reddit.com/r/Guildwars2/comments/1o3a8n/data_mining_removed_unused_and_forgotten_models/

    published: 15 Oct 2013
  • We believe in the Power of Knowledge Engineering

    Everybody loves a solution. We believe every great solution is born from a really good problem. And at SKF there's nothing we love more. This film will take you on a journey inside the world of SKF. Learn more at http://www.skf.com/thepowerof Other videos: Technology has power - http://bit.ly/1rWsk31 The Power of service - http://bit.ly/1qx2HZ0 Meet our inventors, experts, and knowledge engineers -- our global team of close to 50,000 working in 40 different industries, with customers in 130 countries. It all comes down to what we call The Power of Knowledge Engineering. Since 1907, SKF has been changing the world through the power of knowledge and engineering. SKF makes everything from lubrication systems to mechatronics and our products & solutions can be found in almost anything that ...

    published: 30 Jun 2014
  • What Is Data Engineering? explained in less than 3 minutes

    The work of data engineers can be characterized by the following: Programming Java C++ Python SQL Expertise Computer Science Software Engineering Data Architecture Technologies Massively Parallel Processing (MPP) Real-time process frameworks Hadoop / Map Reduce NoSQL databases

    published: 26 Apr 2015
Week 6: Knowledge Engineering and Data Mining

Week 6: Knowledge Engineering and Data Mining

  • Order:
  • Duration: 8:32
  • Updated: 12 Nov 2014
  • views: 478
videos
Ryan Baker discusses knowledge engineering and data mining for week 6 of DALMOOC.
https://wn.com/Week_6_Knowledge_Engineering_And_Data_Mining
Maximize Plant Performance: Data Mining to Implement a Better O&M Strategy

Maximize Plant Performance: Data Mining to Implement a Better O&M Strategy

  • Order:
  • Duration: 34:32
  • Updated: 15 Jul 2014
  • views: 522
videos
In this webinar AWS Truepower President, Dr. Bruce Bailey, and Chief Engineer, Daniel Bernadett, discuss how performance issues can be addressed through diagnostic data mining. They share a case study demonstrating how the implementation of diagnostic techniques led to increased overall performance at a wind facility by modifying the operations and maintenance strategy.
https://wn.com/Maximize_Plant_Performance_Data_Mining_To_Implement_A_Better_O_M_Strategy
Engineer Heavy Gun Weapon Models ► Wildstar ► Galaxy Library Datamined

Engineer Heavy Gun Weapon Models ► Wildstar ► Galaxy Library Datamined

  • Order:
  • Duration: 2:44
  • Updated: 05 Apr 2014
  • views: 6191
videos
Today we're doing a bit of noobie data mining to take a look at all of the different Engineer heavy gun models found within Wildstar. We'll look at all the high end and low end heavy gun weapons currently in the game so you can see how bad ass your future Wildstar Engineer will be! Oh yeah. Download Galaxy Library for yourself: http://www.curse.com/ws-addons/wildstar/220109-galaxy-library See more of my content: Subscribe ► http://bit.ly/11oGJFf Ask me a question or suggest a video: Twitter ► https://twitter.com/fevirgaming Connect with me on: G+ ► http://google.com/+FevirGaming Be my bro: Buy me a Beer ► http://bit.ly/176UTOk If you are looking for more helpful Wildstar videos showcasing guides, helpful information and the like. Check out more Wildstar Primers! Wildstar Primer Playlist ► https://www.youtube.com/playlist?list=PLwqmJc2W13VSuH09CArPhX_N88t1BYxZ1
https://wn.com/Engineer_Heavy_Gun_Weapon_Models_►_Wildstar_►_Galaxy_Library_Datamined
Is Data Science A Viable Career Path?

Is Data Science A Viable Career Path?

  • Order:
  • Duration: 7:35
  • Updated: 04 Apr 2016
  • views: 84707
videos
I am doing a bachelor of computer science and have not yet chosen a discipline to major in. My lecturer mentioned the disciplines and one grabbed my attention: Data Science. He explained how data science is the future of technology and gave some examples. Do you believe that data science is the future and can you please explain what it is in a little more detail? -Abraham A. Schedule a Skype Meeting with Eli: https://silicondiscourse.com Podcasts of New Videos at SoundCloud: https://soundcloud.com/elithecomputerguy To Ask Questions Email: Question@EliTheComputerGuy.com For Classes, Class Notes and Blog Posts: http://www.EliTheComputerGuy.com Visit the Main YouTube Channel at: http://www.YouTube.com/EliTheComputerGuy Follow us on Twitter at: http://www.Twitter.com/EliComputerGuy **********
https://wn.com/Is_Data_Science_A_Viable_Career_Path
Data Mining - Emotional Noise to Uncloud A/V Emotion Perceptual Eval. | MconneX | Lectures On-Demand

Data Mining - Emotional Noise to Uncloud A/V Emotion Perceptual Eval. | MconneX | Lectures On-Demand

  • Order:
  • Duration: 22:48
  • Updated: 19 Feb 2014
  • views: 1193
videos
Emily Mower - Provost, Computer Science and Engineering at the University of Michigan The 4th University of Michigan Data Mining Workshop Sponsored by Computer Science and Engineering, Yahoo!, and Office of Research Cyberinfrastructure (ORCI) Faculty, staff, and graduate students working in the fields of data mining, broadly construed. This workshop will present techniques: models and technologies for statistical data analysis, Web search technology, analysis of user behavior, data visualization, etc. We speak about data-centric applications to problems in all fields, whether it is in the natural sciences, the social sciences, or something else. MORE: Watch additional Lectures On Demand or join the discussion at http://mconnex.engin.umich.edu/lectures/
https://wn.com/Data_Mining_Emotional_Noise_To_Uncloud_A_V_Emotion_Perceptual_Eval._|_Mconnex_|_Lectures_On_Demand
What is knowledge engineering? - Department of Data Science and Knowledge Engineering

What is knowledge engineering? - Department of Data Science and Knowledge Engineering

  • Order:
  • Duration: 2:23
  • Updated: 29 Feb 2016
  • views: 1272
videos
Prof. Dr. Gerhard Weiss, chair of the Department of Data Science and Knowledge Engineering at Maastricht University, explains what knowledge engineering exactly is.
https://wn.com/What_Is_Knowledge_Engineering_Department_Of_Data_Science_And_Knowledge_Engineering
Data Mining with modeFRONTIER

Data Mining with modeFRONTIER

  • Order:
  • Duration: 23:40
  • Updated: 05 Apr 2017
  • views: 55
videos
Data Mining is the process of analyzing a database from different perspectives: designs, statistical and distribution analysis charts, response surfaces algorithms and more allow the engineer to extract the benefit from often complex and hard to understand data. Information from complex numerical data, generated by parametric or optimization studies, can easily be projected onto sophisticated charts in modeFRONTIER’s Design Space, which is now available as the standalone application - modeSPACE – thus allowing efficient license and role management.
https://wn.com/Data_Mining_With_Modefrontier
Engineering Data Analysis (with R and ggplot2)

Engineering Data Analysis (with R and ggplot2)

  • Order:
  • Duration: 58:35
  • Updated: 14 Jun 2011
  • views: 79765
videos
Google Tech Talk (more info below) June 6, 2011 Presented by Hadley Wickham, Assistant Professor, Dobelman Family Junior Chair, Department of Statistics, Rice University. ABSTRACT Data analysis, the process of converting data into knowledge, insight and understanding, is a critical part of statistics, but there's surprisingly little research on it. In this talk I'll introduce some of my recent work, including a model of data analysis. I'm a passionate advocate of programming that data analysis should be carried out using a programming language, and I'll justify this by discussing some of the requirement of good data analysis (reproducibility, automation and communication). With these in mind, I'll introduce you to a powerful set of tools for better understanding data: the statistical programming language R, and the ggplot2 domain specific language (DSL) for visualisation.
https://wn.com/Engineering_Data_Analysis_(With_R_And_Ggplot2)
Top 10 High Paying Software Jobs - Check Out What It takes ?

Top 10 High Paying Software Jobs - Check Out What It takes ?

  • Order:
  • Duration: 5:50
  • Updated: 18 Jan 2017
  • views: 14655
videos
Top 10 High Paying Software Jobs - Check Out What It takes ? Watch this video to find out highest paying software jobs. If you're a software engineer, database admin, a data scientist, fronted developer, designer or a mobile developer, find how much is the average annual pay for your skill sets. #10 .Net Developer - $84,000 What It takes ? Programming expe in ASP .NET MVC Basic knowledge in Html,CSS Jquery/Java Scripts, Bootstrap Working knowledge of Databases MS SQL, Oracle, NoSql, mongoDB Creating setups and exe. # 09 Database Admin - $87,000 What It takes ? Understanding of structured query language (SQL) Experience with RDBMS Assist in database design Manage Databases Maritain security and integrity of databases Database Security Upgrades and Installs Deployment strategies, failure protection #08 Fronted Developer - $92,000 What It takes ? Programming in HTML5 CSS3, JavaScript, Node.js Browser Developer Tools(Firefox, Chrome) Experience with Data Formats (e.g., JSON, XML) Content Management Systems(word-press, Blogger, Joomla etc..) Front End Frameworks RESTful Services and APIs Testing and Debugging Version Control Systems # 07 Mobile Developer - $96,000 What It takes ? Cross-platform Development,iOS, Android BlackBerry, Windows etc Good UX/UI Design Skills Programming knowledge Java, C#, Objective C /Swift, HTML5, PHP etc. Knowledge of Cross Platform Mobile Development Tools # 06 Java Developer - $96,500 What It takes ? OOPs Concepts Design Patterns Data Structures JVM Multi-threading and Synchronization Domain Knowledge Networking, Multi Media, Automobile, Finance JUnit testing, debugging, ANT Source Control (GIT, SVN, CVS etc..) Database Programming (SQL) #05 Software Engineer - $98,000 What It takes ? Programming Skills, C/C++, JAVA, PHP, Python, HTML5/CSS3, Ruby etc Knowledge of Source control Debugging skills problem solving Attention to Detail Teamwork Unit testing #04 DevOps Engineer - $106,000 What It takes ? Linux/Unix Administration coding and scripting in Python, PHP, Perl,Ruby Knowledge of opensource tools Experience with systems and IT operations Continuous Improvement (CI) Continuous Deployment, tools like Jenkins collaboration, open communication automation/configuration management # 03 Data Scientist - $115,000 What It takes ? Data mining methods Processing, cleansing, and verifying of data Great communication skills statistical programming language R or Python Database Querying language SQL, mongoDB Statistics, Multi variable Calculus and Linear algebra # 02 Software Architect - $128,500 What it takes ? Knowledge of various software architectures Resolve technical problems Technically competent Strong communicator Knowledge of core frameworks high level guidance and direction on project work Strong design experience # 01 Software Development Manager -$132,000 What it takes ? Managing Relationships Project Planning Process Control Negotiation Skills Vendor Management Presentation Skills Problem solving and decision making Knowledge of Domain,Development Cycles,Automation process, Quality Assurance,Release Management Team Staffing Administrative functions
https://wn.com/Top_10_High_Paying_Software_Jobs_Check_Out_What_It_Takes
Data Mining

Data Mining

  • Order:
  • Duration: 5:42
  • Updated: 11 Aug 2014
  • views: 2031
videos
Entrevista com os professores Wagner Meira Jr e Mohammed Zaki
https://wn.com/Data_Mining
Hoda Eldardiry -  predictive analytics, machine learning, data mining at PARC

Hoda Eldardiry - predictive analytics, machine learning, data mining at PARC

  • Order:
  • Duration: 2:32
  • Updated: 26 Aug 2016
  • views: 2403
videos
Hoda Eldardiry (PhD Purdue) talks about her work on predictive analytics, using machine learning and data mining at Palo Alto Research Center (PARC).
https://wn.com/Hoda_Eldardiry_Predictive_Analytics,_Machine_Learning,_Data_Mining_At_Parc
Data Mining and Business Intelligence for Cyber Security Applications Summer Program at BGU

Data Mining and Business Intelligence for Cyber Security Applications Summer Program at BGU

  • Order:
  • Duration: 1:38
  • Updated: 13 Dec 2016
  • views: 588
videos
The purpose of the Summer Program in Data Mining and Business Intelligence is to provide both theoretical and practical knowledge, including tools, on data mining. The program offers two academic courses (each for 3 credits), where students learn the basic tools of data mining and the utilization of machine learning techniques for solving cyber security problems. The program includes a mandatory one week internship at BGU’s Cyber Security Research Center. The internship corresponds with the course materials and contributes the practical experience component. In addition, students will take part in professional fieldtrips to leading companies, in order to enhance their understanding of data mining and cyber security To Apply: https://www.tfaforms.com/399172 For More information: www.bgu.ac.il/global
https://wn.com/Data_Mining_And_Business_Intelligence_For_Cyber_Security_Applications_Summer_Program_At_Bgu
Mining Structures from Massive Text Corpora

Mining Structures from Massive Text Corpora

  • Order:
  • Duration: 30:47
  • Updated: 09 Nov 2016
  • views: 199
videos
Author: Jiawei Han, Department of Computer Science, University of Illinois at Urbana-Champaign More on http://www.kdd.org/kdd2016/ KDD2016 Conference is published on http://videolectures.net/
https://wn.com/Mining_Structures_From_Massive_Text_Corpora
Data mining-Map Reduce

Data mining-Map Reduce

  • Order:
  • Duration: 24:23
  • Updated: 20 Mar 2013
  • views: 2360
videos
MapReduce is a programming model for processing large data sets, and the name of an implementation of the model by Google. MapReduce is typically used to do distributed computing on clusters of computers. The model is inspired by the map and reduce functions commonly used in functional programming, although their purpose in the MapReduce framework is not the same as their original forms. MapReduce libraries have been written in many programming languages. A popular free implementation is Apache Hadoop. MapReduce is a framework for processing parallelizable problems across huge datasets using a large number of computers (nodes), collectively referred to as a cluster (if all nodes are on the same local network and use similar hardware) or a grid (if the nodes are shared across geographically and administratively distributed systems, and use more heterogenous hardware). Computational processing can occur on data stored either in a filesystem (unstructured) or in a database (structured). MapReduce can take advantage of locality of data, processing data on or near the storage assets to decrease transmission of data. "Map" step: The master node takes the input, divides it into smaller sub-problems, and distributes them to worker nodes. A worker node may do this again in turn, leading to a multi-level tree structure. The worker node processes the smaller problem, and passes the answer back to its master node. "Reduce" step: The master node then collects the answers to all the sub-problems and combines them in some way to form the output -- the answer to the problem it was originally trying to solve. MapReduce allows for distributed processing of the map and reduction operations. Provided each mapping operation is independent of the others, all maps can be performed in parallel -- though in practice it is limited by the number of independent data sources and/or the number of CPUs near each source. Similarly, a set of 'reducers' can perform the reduction phase - provided all outputs of the map operation that share the same key are presented to the same reducer at the same time, or if the reduction function is associative. While this process can often appear inefficient compared to algorithms that are more sequential, MapReduce can be applied to significantly larger datasets than "commodity" servers can handle -- a large server farm can use MapReduce to sort a petabyte of data in only a few hours. The parallelism also offers some possibility of recovering from partial failure of servers or storage during the operation: if one mapper or reducer fails, the work can be rescheduled -- assuming the input data is still available.
https://wn.com/Data_Mining_Map_Reduce
MSc Data Engineering

MSc Data Engineering

  • Order:
  • Duration: 3:09
  • Updated: 29 Apr 2015
  • views: 1316
videos
A focus on the University of Dundee's MSc in Data Engineering. Hear from staff and students and view our world class facilities. Learn about what it's like to study in the city of Dundee.
https://wn.com/Msc_Data_Engineering
28c3: Reverse Engineering USB Devices

28c3: Reverse Engineering USB Devices

  • Order:
  • Duration: 26:03
  • Updated: 28 Dec 2011
  • views: 15816
videos
Download high quality version: http://bit.ly/t1DffU Description: http://events.ccc.de/congress/2011/Fahrplan/events/4847.en.html Drew Fisher: Reverse Engineering USB Devices While USB devices often use standard device classes, some do not. This talk is about reverse engineering the protocols some of these devices use, how the underlying USB protocol gives us some help, and some interesting patterns to look for. I'll also detail the thought processes that went into reverse engineering the Kinect's audio protocol. This talk will narrate the process of reverse engineering the Kinect audio protocol -- analyzing a set of USB logs, finding patterns, building understanding, developing hypotheses of message structure, and eventually implementing a userspace driver. I'll also cover how the USB standard can help a reverse engineer out, some common design ideas that I've seen, and ideas for the sorts of tools that could assist in completing this kind of task more efficiently.
https://wn.com/28C3_Reverse_Engineering_Usb_Devices
Performing Analysis: Spatial Data Mining II: A Deep Dive Into Space-Time Analysis

Performing Analysis: Spatial Data Mining II: A Deep Dive Into Space-Time Analysis

  • Order:
  • Duration: 1:23:19
  • Updated: 04 Aug 2016
  • views: 2745
videos
We will cover Space-Time Pattern Mining techniques including aggregating your temporal data into a space-time cube, Emerging Hot Spot Analysis, Local Outlier Analysis, best practices for visualizing your space-time cube and strategies for interpreting and sharing your results.
https://wn.com/Performing_Analysis_Spatial_Data_Mining_Ii_A_Deep_Dive_Into_Space_Time_Analysis
Advanced-and Easy!-BI with Excel and SQL Server Data Mining

Advanced-and Easy!-BI with Excel and SQL Server Data Mining

  • Order:
  • Duration: 1:15:39
  • Updated: 21 Jul 2014
  • views: 36495
videos
Predictive Analytics is the hottest subject in BI. It uncovers hidden, yet valuable patterns in your data. For example, with a few clicks in Excel, and with the power of SQL Server behind it, you can discover which demographic characteristics drive your customers' profitability. Or, using a different model, you can judge the creditworthiness of a business transaction. Or, you can predict which sale is likely to fall-through, or even predict fraud, or churn. Or, with a powerful dependency network visualisation, you can find out which of your products are truly pivotal to your business, best of all, looking at them from your shoppers' perspectives. This session will start with an overview of the amazingly powerful Microsoft data mining client that is available, free of charge, in Excel. Afterwards, we will take a tour-de-force of the most important analytical techniques included by Microsoft, looking at Decision Trees, Association Rules, Clustering (for outlier detection), Sequence Clustering, and Neural Networks. No prior knowledge or experience is required, as everything will be explained. If you have always wanted to know what advanced analytics with data mining is about, attend this demo-driven session, and let Rafal share his extensive experience, and his infectious enthusiasm, for this lesser-known but hugely useful technology, for which Microsoft has even bigger plans in the near future.
https://wn.com/Advanced_And_Easy_Bi_With_Excel_And_Sql_Server_Data_Mining
Data Analytics in Virtual Reality… Because Why Not?

Data Analytics in Virtual Reality… Because Why Not?

  • Order:
  • Duration: 4:17
  • Updated: 08 Feb 2017
  • views: 13540
videos
Goodness gracious, great walls of data! Looker's engineering team is always pushing the boundaries to find new and exciting ways to explore data, even in Virtual Reality. Join Looker engineer Wil Gieseler on a journey through the virtual world of data in LookVR. Explore data tables, virtual scatter plots, data lakes, mounds of money, and mountains of live data, all made possible through Looker's API. Learn more about how you can start exploring at: looker.com/vr
https://wn.com/Data_Analytics_In_Virtual_Reality…_Because_Why_Not
Optimizing Git LFS Migration Through Repository Data-mining

Optimizing Git LFS Migration Through Repository Data-mining

  • Order:
  • Duration: 30:57
  • Updated: 13 Sep 2017
  • views: 19
videos
Does your company struggle under the weight of HUGE repositories and slow clone times? Do you have developers distributed around the world, sharing repositories? Join Michael Monsen, DevOps Engineer at Hexagon Manufacturing Intelligence, and learn how they migrated a huge code base from Mercurial to Git. Using data about their files, they migrated to Git LFS while striking a balance between file size and developer convenience. The results turned out to be a lot different than what they expected before examining the data!
https://wn.com/Optimizing_Git_Lfs_Migration_Through_Repository_Data_Mining
Rare Creatures and Lost Assets - Data Mining Gw2

Rare Creatures and Lost Assets - Data Mining Gw2

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  • Duration: 21:27
  • Updated: 15 Oct 2013
  • views: 40347
videos
First of all a big thanks to that_shaman on reddit who found all this stuff! Links: https://www.guildwars2.com/en-gb/the-game/releases/october-15-2013/ Chris and the feedback initiative: https://forum-en.guildwars2.com/forum/game/gw2/Collaborative-Development/page/21#post3021865 The reddit thread: http://www.reddit.com/r/Guildwars2/comments/1o3a8n/data_mining_removed_unused_and_forgotten_models/
https://wn.com/Rare_Creatures_And_Lost_Assets_Data_Mining_Gw2
We believe in the Power of Knowledge Engineering

We believe in the Power of Knowledge Engineering

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  • Duration: 7:55
  • Updated: 30 Jun 2014
  • views: 41474
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Everybody loves a solution. We believe every great solution is born from a really good problem. And at SKF there's nothing we love more. This film will take you on a journey inside the world of SKF. Learn more at http://www.skf.com/thepowerof Other videos: Technology has power - http://bit.ly/1rWsk31 The Power of service - http://bit.ly/1qx2HZ0 Meet our inventors, experts, and knowledge engineers -- our global team of close to 50,000 working in 40 different industries, with customers in 130 countries. It all comes down to what we call The Power of Knowledge Engineering. Since 1907, SKF has been changing the world through the power of knowledge and engineering. SKF makes everything from lubrication systems to mechatronics and our products & solutions can be found in almost anything that rolls or moves, from space shuttles to skateboards. Visit us at http://www.skf.com. Don't forget to subscribe to our YouTube channel or like us on Facebook http://www.facebook.com/SKFGroup for daily updates.
https://wn.com/We_Believe_In_The_Power_Of_Knowledge_Engineering
What Is Data Engineering? explained in less than 3 minutes

What Is Data Engineering? explained in less than 3 minutes

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  • Duration: 2:50
  • Updated: 26 Apr 2015
  • views: 8917
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The work of data engineers can be characterized by the following: Programming Java C++ Python SQL Expertise Computer Science Software Engineering Data Architecture Technologies Massively Parallel Processing (MPP) Real-time process frameworks Hadoop / Map Reduce NoSQL databases
https://wn.com/What_Is_Data_Engineering_Explained_In_Less_Than_3_Minutes