In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at https://www.youtube.com/playlist?list=PLXMKI02h3_qjYoX-f8uKrcGqYmaqdAtq5 Please subscribe to my channel, and share this video with your peers!
Views: 238341 Thales Sehn Körting
Here are some additional techniques for data mining: 1. Decision Tree Analysis: https://www.youtube.com/watch?v=bJC5S_ViRCo 2. Text mining in Twitter: https://www.youtube.com/watch?v=I0VCGCnquTQ
Views: 197 The Data Science Show
15 Hot Trending Data Mining Research Topics 2018 1. Medical Data Mining 2. Education Data Mining 3. Data Mining with Cloud Computing 4. Efficiency of Data Mining Algorithms 5. Signal Processing 6. Social Media Analytics 7. Data Mining in Medical Science 8. Government Domain 9. Financial Data Analysis 10. Financial Accounting Fraud Detection 11. Customer Analysis 12. Financial Growth Analysis using Data Mining 13. Data Mining and IOT 14. Data Mining for Counter-Terrorism Key Research Application Fields: • Crisp-DM • Oracle Data mining • Web Mining • Open NN • Data Warehousing • Text Mining WHY YOU NEED TO OUTSOURCE TO PhD Assistance: a) Unlimited revisions b) 24/7 Admin Support c) Plagiarism Generate d) Best Possible Turnaround time e) Access to High qualified technical coordinators and expertise f) Support: Skype, Live Chat, Phone, Email Contact us: India: +91 8754446690 UK: +44-1143520021 Email: [email protected] Visit Webpage: https://goo.gl/HwJgqQ Visit Website: http://www.phdassistance.com
Views: 5562 PhD Assistance
This video is a brief introduction for undergraduates to the logic (not the nitty-gritty details) of data mining in social science research. Four orienting tips for getting started and placing data mining in the broader context of social research are included.
Views: 402 James Cook
Read our blog post analysing the European Commission's (EC) text and data mining (TDM) exception and providing recommendations on how to improve it: http://bit.ly/2cE60sp Copy (short for Copyright) explains what text and data mining (TDM) is all about, and what hurdles researchers are currently facing. We also have a blog post on the TDM bits in the EC's Impact Assessment accompanying the proposal: http://bit.ly/2du9sYe Read more about the EC's copyright reform proposals in general: http://bit.ly/2cvAh0a
Views: 3406 FixCopyright
What is clustering Partitioning a data into subclasses. Grouping similar objects. Partitioning the data based on similarity. Eg:Library. Clustering Types Partitioning Method Hierarchical Method Agglomerative Method Divisive Method Density Based Method Model based Method Constraint based Method These are clustering Methods or types. Clustering Algorithms,Clustering Applications and Examples are also Explained.
Views: 101704 IT Miner - Tutorials & Travel
23-minute beginner-friendly introduction to data mining with WEKA. Examples of algorithms to get you started with WEKA: logistic regression, decision tree, neural network and support vector machine. Update 7/20/2018: I put data files in .ARFF here http://pastebin.com/Ea55rc3j and in .CSV here http://pastebin.com/4sG90tTu Sorry uploading the data file took so long...it was on an old laptop.
Views: 471476 Brandon Weinberg
#datamining #datawarehouse #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 261944 Last moment tuitions
This short revision video introduces the concept of data mining. Data mining is the process of analysing data from different perspectives and summarising it into useful information, including discovery of previously unknown interesting patterns, unusual records or dependencies. There are many potential business benefits from effective data mining, including: Identifying previously unseen relationships between business data sets Better predicting future trends & behaviours Extract commercial (e.g. performance insights) from big data sets Generating actionable strategies built on data insights (e.g. positioning and targeting for market segments) Data mining is a particularly powerful series of techniques to support marketing competitiveness. Examples include: Sales forecasting: analysing when customers bought to predict when they will buy again Database marketing: examining customer purchasing patterns and looking at the demographics and psychographics of customers to build predictive profiles Market segmentation: a classic use of data mining, using data to break down a market into meaningful segments like age, income, occupation or gender E-commerce basket analysis: using mined data to predict future customer behavior by past performance, including purchases and preferences
Views: 5710 tutor2u
Heard about Text and Data Mining (TDM) and wondering if it might be a good fit for your research? Find out what text and data mining is and how it can usefully be applied in a research context. Also learn about data sources for text and data mining projects and support, tools, and resources for learning more.
Views: 95 UniSydneyLibrary
This week, Johnny takes us through the best methods for mining Indeed.com's data. Want to learn more sourcing and recruitment strategies? Visit: https://www.socialtalent.com Subscribe to make sure you don't miss a video! Facebook: https://www.facebook.com/socialtalent/ Twitter: https://twitter.com/SocialTalent LinkedIn: https://www.linkedin.com/company/social-talent/
Views: 826 SocialTalent
( Data Science Training - https://www.edureka.co/data-science ) This tutorial will give you an overview of the most common algorithms that are used in Data Science. Here, you will learn what activities Data Scientists do and you will learn how they use algorithms like Decision Tree, Random Forest, Association Rule Mining, Linear Regression and K-Means Clustering. To learn more about Data Science click here: http://goo.gl/9HsPlv The topics related to 'R', Machine learning and Hadoop and various other algorithms have been extensively covered in our course “Data Science”. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 107323 edureka!
Recording of a tutorial held at the second annual Learning Analytics Summer Institute on Data Mining aimed at Educational Researchers.
Views: 1125 Christopher Brooks
Leading experts from the field of Educational Data Mining weigh in on why educational data mining is important. FEATURING David Lindrum (Founder & Course Designer, Soomo Learning) Piotr Mitros (Chief Scientist, edX) April Galyardt (Assistant Professor, University of Georgia College of Education) Ryan Baker (Associate Professor of Cognitive Studies, Teachers College Columbia University) Tiffany Barnes (Associate Professor of Computer Science, North Carolina State University) RECORDED AND PRODUCED BY Timothy D. Harfield
Views: 913 Timothy Harfield
Using public social media data from twitter and Facebook, actions and announcements of terrorists – in this case ISIS – can be monitored and even be predicted. With his project #DataShield Wassim shares his idea of having a tool to identify oncoming threats and attacks in order to protect people and to induce preventive actions. Wassim Zoghlami is a Tunisian Computer Engineering Senior focussing on Business Intelligence and ERP with a passion for data science, software life cycle and UX. Wassim is also an award winning serial entrepreneur working on startups in healthcare and prevention solutions in both Tunisia and The United States. During the past years Wassim has been working on different projects and campaigns about using data driven technology to help people working to uphold human rights and to promote civic engagement and culture across Tunisia and the MENA region. He is also the co-founder of the Tunisian Center for Civic Engagement, a strong advocate for open access to research, open data and open educational resources and one of the Global Shapers in Tunis. At TEDxMünster Wassim will talk about public social media data mining for counter-terrorism and his project idea DataShield. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 2211 TEDx Talks
LC01_DM_GSLC13122018_2001609594_Muhammad Iqbal Sali Alparisi Anggota Kelompok 2001609594 ------- Muhammad Iqbal Sali A 2001610280 ------- Bagas Kuncoro 2001614663 ------- Achmad Rafii Syafran 2001616946 ------- Raditya Ayu Wirastari 2001618636 ------- Danny Hudi Pomo
Views: 40 Danny Hudi
Text mining refers to digital social research methods that involve the collection and analysis of unstructured textual data, generally from internet-based sources such as social media and digital archives. In this webinar, Gabe Ignatow and Rada Mihalcea discussed the fundamentals of text mining for social scientists, covering topics including research design, research ethics, Natural Language Processing, the intersection of text mining and text analysis, and tips on teaching text mining to social science students.
Views: 1341 SAGE
This talk was given at a local TEDx event, produced independently of the TED Conferences. The amount of information that we are creating is increasing at an incredible speed. But how are we going to manage it? Professor Maria Fasli is based in the School of Computer Science and Electronic Engineering at the University of Essex. She obtained her BSc from the Department of Informatics of T.E.I. Thessaloniki (Greece). She received her PhD from the University of Essex in 2000 having worked under the supervision of Ray Turner in axiomatic systems for intelligent agents. She has previously worked in the area of data mining and machine learning. Her current research interests lie in agents and multi-agent systems and in particular formal theories for reasoning agents, group formation and social order as well as the applications of agent technology to e-commerce. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 142000 TEDx Talks
Neuroscientist Sonja Grün uses methods from retailing market research to understand how neurons cooperate.The statistical method known as "frequent itemset mining" (FIM) finds groups of objects in large volumes of data quickly and efficiently and counts their frequencies. In retailing market research, this is used, for example, to identify products that are often purchased together. In brain research, a modified version of the FIM method helps to distinguish behaviour-dependent activity patterns from random patterns. This enabled Jülich scientists to establish which of the simultaneously active neurons form a functional group, for instance while the eye focuses on a given object. (mb) A film by Johannes Faber and Gunnar Grah
Views: 2756 Forschungszentrum Jülich GmbH
Predicting Instructor Performance Using Data Mining Techniques in Higher Education -- Data mining applications are becoming a more common tool in understanding and solving educational and administrative problems in higher education. In general, research in educational mining focuses on modeling student's performance instead of instructors' performance. One of the common tools to evaluate instructors' performance is the course evaluation questionnaire to evaluate based on students' perception. In this paper, four different classication techniquesdecision tree algorithms, support vector machines, articial neural networks, and discriminant analysisare used to build classier models. Their performances are compared over a data set composed of responses of students to a real course evaluation questionnaire using accuracy, precision, recall, and specicity performance metrics. Although all the classier models show comparably high classication performances, C5.0 classier is the best with respect to accuracy, precision, and specicity. In addition, an analysis of the variable importance for each classier model is done. Accordingly, it is shown that many of the questions in the course evaluation questionnaire appear to be irrelevant. Furthermore, the analysis shows that the instructors' success based on the students' perception mainly depends on the interest of the students in the course. The ndings of this paper indicate the effectiveness and expressiveness of data mining models in course evaluation and higher education mining. Moreover, these ndings may be used to improve the measurement instruments. Articial neural networks, classication algorithms, decision trees, linear discriminant analysis, performance evaluation, support vector machines. -- For More Details Contact Us -- S.Venkatesan Arihant Techno Solutions Pudukkottai www.arihants.com Mobile: +91 75984 92789
Views: 2341 ArihantTechnoSolutions ATS
A tutorial about classification and prediction in Data Mining .
Views: 40559 Red Apple Tutorials
From making travel plans, to online purchases, to watching videos, each day we generate vast amounts of data that contribute to the world of big data. We have already seen big data play a significant role in areas like marketing and science. Now, education has joined the big data movement. In the past, education data was sparse and disparate. Collected across individual gradebooks and housed within multiple platforms, data was inaccessible, laborious, and difficult to analyze. Thankfully, this has changed. Now, educators and researchers can access incredibly rich and meaningful logs about student learning behavior on educational software, and by employing EDM (education data mining), discover a great deal about how students learn. By connecting this powerful data and asking the right questions, there is potential to change the future of education. Learn about the ability to leverage meaningful data with EDM and learning analytics, and find out how to turn big data into big gains for students. Attend this webinar to discover how: Learning analytics and EDM are already transforming education EDM advancements can assess students’ knowledge as they are learning Specific EDM methods are proving useful in understanding and predicting which students are likely to succeed in 21st century careers Learning analytics can provide insight into the effectiveness of educational technology programs and the conditions under which these programs have the greatest return on learning
Views: 1241 eschoolnews
Data mining Advance topics - Web mining - Text Mining -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~- Follow us on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy
Views: 63550 Well Academy
Find the best virtual assistant to outsource internet research and data mining projects. Fast, Accurate and extremely accurate.
Views: 475 Labdhie
Contact Best Matlab Simulations Projects http://matlabsimulations.com/
Views: 149 Image-Processing-Projects
Data Entry And Web Research Bangla Tutorial (2017) this tutorial i am going to teach you about data entry and web research.this is a tutorial for begginers data entry and web research have a great place in freelancing marketplaces.so after learning you guys can easily start doing this type of jobs ## Outsourcing Working Tips 2017 https://www.youtube.com/playlist?list=PLCTj6SR5wKSJqRnUVx7CSi1Cdc2KdD-F0 ## Data Entry Job A to Z Tutorial 2017 https://www.youtube.com/playlist?list=PLCTj6SR5wKSJNMpoVIxEcQLZscDRwkI3l ## Advance Internet Tricks https://www.youtube.com/playlist?list=PLCTj6SR5wKSJkKunzQUi8xTls2X5M9yZH ## Basic SEO Full Bangla Tutorial 2017 https://www.youtube.com/playlist?list=PLCTj6SR5wKSLjfUstoM8MDpc_MEvU24Ow ## SEO Full Bangla Tutorial 2017 https://www.youtube.com/playlist?list=PLCTj6SR5wKSKYTnjGvxvry98WhlyzecJb ## Basic To Advance Computer Operating And Internet Browsing Full Tutorial 2017 https://www.youtube.com/playlist?list=PLCTj6SR5wKSKbFCaphVP_Bij9JyOKz8-- In This Playlist 1. Simple Data Entry Job Full Bangla Tutorial 2017 || Data Entry Lesson- 1 https://youtu.be/9lhzyYRBJVg 2. Data Collection Full Bangla Tutorial (2017) || Data Entry Lesson- 2 https://youtu.be/eI2ktApDYew 3. BPO Data Entry Full Bangla Tutorial 2017 || Data Entry Lesson- 3 https://youtu.be/1nbtMVJpi38 4. Data Mining Full Bangla Tutorial 2017 || Data Entry Lesson- 4 https://youtu.be/P-WvkOMiLGA 5. Data Scraping Full Bangla Tutorial 2017 || Data Entry Lesson- 5 https://youtu.be/LpZ9XU1RogQ 6. Data Processing Full Bangla Tutorial 2017 || Data Entry Lesson- 6 7. Data Research Full Bangla Tutorial 2017 || Data Entry Lesson- 7 https://youtu.be/xCB4STWNTdg 8. Data Entry For Ecommerce Site Full Bangla Tutorial 2017 || Data Entry Lesson- 8 https://youtu.be/f8qb43o2wFA 9. Magento data entry Full Bangla Tutorial 2017 || Data Entry Lesson- 9 https://youtu.be/IWIB_GYqFYc 10. ERP Software Full Bangla Tutorial 2017 || Data Entry Lesson- 10 https://youtu.be/Wn3RpvElMFU 11. Data Convert Full Bangla Tutorial 2017 || Data Entry Lesson- 11 https://youtu.be/tYVjdwTOwGk #web research bangla tutorial #data entry bangla tutrorial #how to start doing data entry bangla tutorial #how to do data entry job bangla tutorial #Data Entry And Web Research Bangla Tutorial (2017) Data Entry And Web Research Bangla Tutorial ডাটা এন্টি জব, ডাটা এন্টি শিখবো, ডাটা এন্ট্রি বাংলা টিউটোরিয়াল,
Views: 3248 Gazi Tech School
Ambuj Tewari - EECS 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.
Views: 3893 Michigan Engineering
Data Entry Internet Research Data Mining Data Scraping Copy Paste Word Data Conversion PDF to Excel or Word Typing in Excel or Word Internet Research Online Research
Views: 29 Unity Power Factor
📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Views: 25869 5 Minutes Engineering
Get the project at http://nevonprojects.com/smart-health-prediction-using-data-mining/ A smart system that suggests a persons disease and suggestions to cure based on his symptoms, also has online doctor to consult for further treatment and cure.
Views: 38405 Nevon Projects
FDP on Data Mining - Tools and Research Issues by Dr A V KrishnaPrasad
Views: 1090 Durga Software Solutions
Top tips for data mining success! Watch John Elder present this short tutorial on how to get ahead in data mining. This is extracted from training material produced by Elder Research, Inc. For more information about statistical analysis and data mining, check out the brand new reference book from Elsevier: The Handbook of Statistical Analysis and Data Mining Applications (www.elsevierdirect.com/datamining).
Views: 33301 Elsevier Books
Video Presentasi Data Mining Trends and Research Frontiers Kelompok Bo Cuan Gpp
Views: 695 Ria Liuswani
Teachers College is proud to introduce the 2012-13 Julius and Rosa Sachs Distinguished Lecturer Professor Ryan Baker, Columbia University. Ryan Shaun Joazeiro de Baker is Visiting Associate Professor in the Department of Human Development. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University, and was a post-doctoral fellow in the Learning Sciences at the University of Nottingham. He earned his Bachelor's Degree (Sc.B.) in Computer Science from Brown University. Dr. Baker has been Assistant Professor of Psychology and the Learning Sciences at Worcester Polytechnic Institute. He previously served as the first Technical Director of the Pittsburgh Science of Learning Center DataShop, the largest public repository for data on the interaction between learners and educational software. He is currently serving as the founding President of the International Educational Data Mining Society, and as Associate Editor of the Journal of Educational Data Mining. His research combines educational data mining, learning analytics and quantitative field observation methods in order to better understand how students respond to educational software, and how these responses impact their learning. He studies these issues within intelligent tutors, simulations, and educational games. In recent years, he and his colleagues have developed strategies to make inferences in real-time about students' motivation, meta-cognition, affect, and robust learning.
Views: 3571 Teachers College, Columbia University
Have a glimpse of the type of research undertaken by Singapore Management University’s PhD in Information Systems candidate. With the guidance and support of his supervisor, Assistant Professor Hady W. Lauw, Maksim manages to navigate his way around obstacles to create a software that could potentially simplify and enhance consumers’ online shopping experience. This software is part of the research that Maksim is working on, and it could possibly create a bigger impact when applied within a larger application. Maksim’s dedication and commitment in his research and work in the area of “Data Mining and Artificial Intelligence” has earned him the SMU Presidential Doctoral Fellowship. His research papers have also been selected and published in top-tier publications. For more information, please visit https://smu.sg/phd-informationsystems.
Views: 1329 Singapore Management University
GTU Research Week 2015 Workshop conducted by Dr. S Nickolas on Data Mining & its Applications at Gujarat Technological University, Chandkheda, Ahmedabad
Nancy Pontica Zeeba TV (http://zeeba.tv) is part of the River Valley group of Companies. http://www.rivervalleytechnologies.com/
Views: 42 Zeeba TV
Dr. Abhishek Sharma tells us how data mining and machine learning are changing the way we analyze the performance of computing systems. He shares the lessons he has learnt doing research and building products that use data mining and machine learning for server log analysis. The video also includes pointers to must-read papers and techniques for researchers interested in this area. www.researchdiaries.org
Views: 449 Omprakash Gnawali