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Current trends in Data Mining..
 
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Topic described here are: Multimedia datamining Ubiquitous datamining Distributed datamining Spatial datamining Time series datamining Text mining Video mining Image mining Audio mining multimedia issues Submitted by: A. Vaishnavi II Msc cs A 175214141
Views: 268 vaishu raj
Top 10 Global Current Trends in Data Mining 2018
 
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Top 10 Global #Data #Mining trends and predictions 2018 - #Outsourcebigdata provide suggestions for the data mining outsourcing industry, worldwide latest global mining industry overview and mining technology predictions to watch in 2018. To check hottest #dataminingtrends to be aware of in 2018, subscribe our channel at https://goo.gl/znWAEF Follow Us: Facebook - https://www.facebook.com/OutsourceBigData Instagram - https://www.instagram.com/outsourcebigdata/ Twitter - https://twitter.com/OBigdata LinkedIn - https://www.linkedin.com/company/outsource-bigdata/ Google+ - https://plus.google.com/u/0/+Outsourcebigdata Pinterest - https://in.pinterest.com/outsourcebigdata/ YouTube - https://www.youtube.com/user/OutsourceBigData/videos For more detail about data mining future trends contact: https://outsourcebigdata.com outsource data, outsource data entry, outsource data mining
Views: 328 BIG DATA
Top 10 Trends In Data Science | Eduonix
 
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Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured, similar to data mining. Data Science is spreading its roots gradually and becoming a hot topic of discussion everywhere. We have made a detailed video, which will tell you about all the recent trends which are going around in Data Science and if you're planning to choose your career in DS you will get a clearer idea about your path. We hope you like this video. The top trends mentioned in the video are: 1. Internet of Things (IoT) 2. Artificial Intelligence 3. Augmented Reality 4. Hyper Personalisation 5. Graph Analytics 6. Machine Intelligence 7. Agile Data Science 8. Behavioral Analytics 9. Journey Sciences 10. The Experience Economy Don't forget to check our new project on Data Science Foundational Program on Kickstarter. This program incorporates everything from beginner-level concepts to real-world implementation along with 4 courses, 2 e-books, Interview preparation guide, multiple labs, numerous practice tests and much more. Read more - https://kck.st/2CuIkay Thank you for watching! We’d love to know your thoughts in the comments section below. Also, don’t forget to hit the ‘like’ button and ‘subscribe’ to ‘Eduonix Learning Solutions’ for regular updates. https://goo.gl/BCmVLG Follow Eduonix on other social networks: ■ Facebook: https://goo.gl/ZqRVjS ■ Twitter: https://goo.gl/oRDaji ■ Google+: https://goo.gl/mfPaxx ■ Instagram: https://goo.gl/7f5DUC | @eduonix ■ Linkedin: https://goo.gl/9LLmmJ ■ Pinterest: https://goo.gl/PczPjp
15 Hot Trending PHD Research Topics in Data Mining 2018
 
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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: 3379 PhD Assistance
Data trends in 2018: 7 things you need to know
 
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We’re on the verge of a data boom—are you taking full advantage of the data you’re collecting? See all trends that will impact your data strategy in 2018: https://www.pluralsight.com/blog/data-professional/data-trends-2018 Visit us at: Facebook: https://www.facebook.com/pluralsight Twitter: https://twitter.com/pluralsight LinkedIn: https://www.linkedin.com/company/pluralsight Instagram: http://instagram.com/pluralsight Blog: https://www.pluralsight.com/thehub
Views: 1046 Pluralsight
Challenges and Current Trends of Big Data Technologies: Part 1
 
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Introduction Enterprise Data Landscape Overview Characteristics of Big Data Big Data Adoption Challenges Current Trends in Big Data Technologies Conclusions
Views: 5193 Scholartica Channel
BADM 1.1: Data Mining Applications
 
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This video was created by Professor Galit Shmueli and has been used as part of blended and online courses on Business Analytics using Data Mining. It is part of a series of 37 videos, all of which are available on YouTube. For more information: www.dataminingbook.com twitter.com/gshmueli facebook.com/dataminingbook Here is the complete list of the videos: • Welcome to Business Analytics Using Data Mining (BADM) • BADM 1.1: Data Mining Applications • BADM 1.2: Data Mining in a Nutshell • BADM 1.3: The Holdout Set • BADM 2.1: Data Visualization • BADM 2.2: Data Preparation • BADM 3.1: PCA Part 1 • BADM 3.2: PCA Part 2 • BADM 3.3: Dimension Reduction Approaches • BADM 4.1: Linear Regression for Descriptive Modeling Part 1 • BADM 4.2 Linear Regression for Descriptive Modeling Part 2 • BADM 4.3 Linear Regression for Prediction Part 1 • BADM 4.4 Linear Regression for Prediction Part 2 • BADM 5.1 Clustering Examples • BADM 5.2 Hierarchical Clustering Part 1 • BADM 5.3 Hierarchical Clustering Part 2 • BADM 5.4 K-Means Clustering • BADM 6.1 Classification Goals • BADM 6.2 Classification Performance Part 1: The Naive Rule • BADM 6.3 Classification Performance Part 2 • BADM 6.4 Classification Performance Part 3 • BADM 7.1 K-Nearest Neighbors • BADM 7.2 Naive Bayes • BADM 8.1 Classification and Regression Trees Part 1 • BADM 8.2 Classification and Regression Trees Part 2 • BADM 8.3 Classification and Regression Trees Part 3 • BADM 9.1 Logistic Regression for Profiling • BADM 9.2 Logistic Regression for Classification • BADM 10 Multi-Class Classification • BADM 11 Ensembles • BADM 12.1 Association Rules Part 1 • BADM 12.2 Association Rules Part 2 • Neural Networks: Part I • Neural Nets: Part II • Discriminant Analysis (Part 1) • Discriminant Analysis: Statistical Distance (Part 2) • Discriminant Analysis: Misclassification costs and over-sampling (Part 3)
Views: 2654 Galit Shmueli
Data Mining -  A Digital Marketing Tactic in 2018
 
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Data will underpin everything in 2018. The use of data to make business decisions, not just marketing ones, will become the norm in 2018. Understanding how to analyse data, the meaning behind data and knowing what to do with this knowledge will become an important asset in the business of the future.
Views: 472 Peter Spinda
Is The "10-Year Challenge" A Data Mining Trap?
 
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#tbt #ThrowbackThursday If you're a Facebook, Twitter or Instagram user, you may have participated in one of the latest and hottest fads by sharing a side-by-side comparison of a photo of yourself taken 10 years ago and one taken recently. If so, you are definitely not alone as millions of people have done this "challenge". Some folks are using photos they had not posted online before. But some tech experts are warning that the 10-year challenge might be a data mining ruse. They claim that this popular meme comparing the past and current pictures of people on social media could be a technique designed to capture a user’s personal data. Social media platforms, law enforcement, or other third parties could be using the so-called “10 Year Challenge” to secretly mine data to improve facial recognition and age progression algorithms. Experts warn that the meme could be innocent fun, or it could carry with it something more nefarious. The photo challenge gives Facebook "a perfect storm for machine learning," said Amy Webb, a professor at NYU Stern School of Business with an upcoming book about how artificial intelligence can manipulate humans. "It presented Facebook with a terrified opportunity to learn, to train their systems to better recognize small changes" in users' appearances, she told CBS News. WIRED writer Kate O'Neill even warns that insurance companies could end up hiking coverage costs for people who seem to be aging quickly. https://www.wired.com/story/facebook-10-year-meme-challenge/ Facebook, which also owns Instagram, dismissed this possibility and has stated that it did not start or instigate this challenge. “Facebook did not start this trend, and the meme uses photos that already exist on Facebook,” the company said. “Facebook gains nothing from this meme (besides reminding us of the questionable fashion trends of 2009). As a reminder, Facebook users can choose to turn facial recognition on or off at any time.” Is the "10 Year Challenge" really a privacy-invading scheme disguised as a meme? What say you?
Views: 157 Edward Malone
APPLICATIONS OF DATA MINING
 
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APPLICATIONS OF DATA MINING
Views: 607 Samuel Hemandro
Data mining  harvesting and analytics. ( All you  need to know)
 
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There is a whirlwind of videos and info on this but none that explained it properly to me. I went online and found out everything I needed to know about the data breaches and the implications of those breaches! I provided some links below in case you wish to educate yourself on whats happening with YOUR data! https://www.quora.com/What-is-the-difference-between-data-analytics-and-data-mining-1 https://www.connotate.com/are-you-screen-scraping-or-data-mining/ http://searchdatamanagement.techtarget.com/definition/data-scrubbing What is the difference between data warehousing and data mining? The main difference between data warehousing and data mining is that data warehousing is the process of compiling and organizing data into one common database, whereas data mining is the process of extracting meaningful data from that database.
Views: 46 Elle's place
Trends 2018 - Data analytics
 
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Samuel Asarnoj, Senior Vice President, Corporate Strategy & Business Development - HID Global. HID Global’s 2018 Top Trends 5 of 5 -- Data analytics will drive risk-based intelligence for predictive models and new capabilities
Views: 1297 HID Global
What is Data Mining and its applications
 
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Views: 91 mayur humbal
Data Mining Trends and Research Frontiers - Kelompok Bo Cuan Gpp
 
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Video Presentasi Data Mining Trends and Research Frontiers Kelompok Bo Cuan Gpp
Views: 668 Ria Liuswani
Challenges and Current Trends of Big Data Technologies: Part 2
 
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Big Data Technology Stack Big Data Adoption Challenges Current Trends in Big Data Technologies Conclusions
Views: 1858 Scholartica Channel
What future for Big Data mining?
 
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Policymakers are showing growing interest for real-time analysis of public opinion and Big Data. From finance to political campaigners, social media have become a primary source of information, especially when it comes to understanding public opinion trends. However, the potential of social media still needs to be fully exploited. With the explosion of structured and unstructured Big Data, the ability to harness information has become paramount for those who want to successfully use information originating from social media. On the regulatory side, the European Commission wants to promote the data-driven economy as part of its Digital Single Market strategy. The strategy includes better online access and digitalisation as a driver for growth.
Views: 834 SSIX Project
Text Analytics with R | How to get Trends data from Twitter | Twitter Data Mining
 
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In this text analytics with R Tutorial, I have talked about how you can get the trends data from twitter to understand the trend for the current day and accordingly you can design the campaign or strategy for communication on twitter. Taking the twitter trends data in R is specially helpful because in that case you can easily create the timeline of trend and get some greater insights about how the trends are changing and what you as a campaigner or communication strategist need to design your strategy. Text analytics with R,how to get trends data from twitter,twitter data mining,twitter trends in R,caputring twitter data in R,getting twitter trends in R,learn twitter text mining in R,twitter trends database in R,how to get twitter trend data in R,Analyzing twitter trends in R,analyzing twitter data in R,creating twitter trends database,twitter in R,r twitter,r with twitter,twitter with R,r tutorial,learning R Programming,beginners tutorial for R
Big Data Trends and Best Practices
 
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An expert in Big Data discusses key data analytics trends and also provides best practices for companies seeking to improve their data mining.
Views: 3216 Datamation.com
Data mining applications and techniques
 
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1.Business Sector 2.Marketing and Retailing sector 3.Bio informatics 4.Climatology 5.Banking and Finance 6.Security and Data Integrity 7.E-commerce 8.Forensic and Criminal Investigation 9.Goverment Records 10.Cloud computing
Views: 283 Karthiga Ganesan
Top 5 Trends in Big Data Analytics You Need to Know | Big Data Analytics Trends -Career in Analytics
 
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#CareerInAnalytics | Know the top 5 trends in Big Data Analytics to be a successful data scientist and make a career in big data analytics. Know more about our analytics programs: PGP- Business Analytics: https://goo.gl/DmYrjK PGP-Big Data Analytics: https://goo.gl/JdrCec Business Analytics Certificate Program: https://goo.gl/MH4GCj #BigData #InternetOfThings #GreatLearning #GreatLakes #ArtificialIntelligence About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 - Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/u/0/108438615307549697541 - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube
Views: 1995 Great Learning
【TOSHIBA】「Data mining」Productivity improvement at the manufacturing site
 
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Using Artificial Intelligence--or AI--to analyze “Big Data”and automatically identify the causes of manufacturing failures. Productivity improves dramatically.
Get latest data mining Thesis Topics-+91-9041262727
 
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Get latest data mining Thesis Topics from e2matrix. Our experts have 4 to 5 year experience in data mining thesis topics. if you want achieve your research results on time without any delay , then e2matrix provides you full guidance related to your work from the selection of paper to documentation. All kind of helps is offer from our sides at each phase of your work. Feel free to talk to our experts over a phone call at :+91 9041262727 or email us at : [email protected] . Just click in the following link and Read more about data mining thesis topic http://www.e2matrix.com/blog/2018/07/04/data-mining-research-guidance-and-thesis-topics/ Thanks & Regards E2Matrix http://www.e2matrix.com/ Follow us on Social Media https://www.facebook.com/E2MatrixTrainingAndResearchInstitute/?ref=settings https://twitter.com/e2matrix_lab https://www.instagram.com/e2matrixresearch/ https://www.linkedin.com/company/e2matrix-research-lab/
Views: 63 e2matrix e2matrix
Database Bootcamp 4 - The Future of Database Technology
 
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The database market is undergoing a rapid evolution. New database technologies are entering the market faster than ever. The need to be broadly knowledgeable and rapidly understand the existing database ecosystem is growing in importance. The database experts behind the Pocket Guide to Databases understand this need. We’ve broken down and simplified the differentiators of the main database technologies into this series of four, 45-minute webinar sessions. You'll also have the opportunity to ask the experts any questions during the live Q&A at the end of each session. We’ll discuss some of the newest, and most powerful database solutions on the market. We’ll examine the architecture behind these databases and discuss how companies can use this technology to drive business value today.
Views: 504 Looker
Text and Data Mining  - November 2017
 
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“TDM is any automated analytical technique aiming to analyze text and data in digital form in order to generate information such as patterns, trends, and correlations.” --European Commission
Recent Trends in Big Data Analysis and Data Blending
 
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A short video on Big Data and Data Blending, moderated by Ben Lorica, Chief Data Scientist, O'Reilly Media, and Program Director of Strata + Hadoop World. Ben interviews Amr Awadallah, Founder and CTO of Cloudera, and George Mathew, President and COO of Alteryx as they discuss how data analysts are getting more value out of Hadoop.
Views: 1304 Alteryx
Data Science in 30 Minutes: A Conversation with Gregory Piatetsky-Shapiro, President of KDnuggets.
 
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KDnuggets' Gregory Piatetsky-Shapiro, Ph.D  joined The Data Incubator on January 11th for the first 2018 installment of our free online webinar series, Data Science in 30 minutes! Gregory discussed his career - from Data Mining to Data Science and examine current trends in the field. https://www.kdnuggets.com https://www.thedataincubator.com From Data Mining to Knowledge Discovery to Data Science: Gregory Piatetsky talked about his pioneering career in data science, including founding KDnuggets, and co-founding KDD Conferences and ACM SIGKDD, and examined current trends in the field, Data Science Automation, citizen Data Scientists, and implications of AI. About the speakers: Gregory Piatetsky-Shapiro, Ph.D., is a well-known Data Scientist, and the President of KDnuggets, a leading site for Analytics, Big Data, Data Science, Data Mining, and Machine Learning. Gregory is a co-founder of KDD (Knowledge Discovery and Data Mining, the top research conference in the field) and a co-founder and past chair of ACM SIGKDD, the professional association for Data Mining and Data Science. See also http://www.kdnuggets.com/gps.html or Gregory's Wikipedia page. Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, employers engage with the Incubator as hiring partners. Previously, he worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves. Michael lives in New York, where he enjoys the Opera, rock climbing, and attending geeky data science events.
Views: 1058 The Data Incubator
BI: trends, Prospects, and Needs
 
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Business Intelligence and Customer Analytics, Lecture of Dr. Shai Fine, Principal Engineer (PE), Intel Corporation, "BI: trends, Prospects, and Needs" Data Mining for Business Intelligence - Bridging the Gap Ben-Gurion University of the Negev
Views: 453 BenGurionUniversity
Richard De Veaux Presents "Data Mining: Fool's Gold? Or the Mother Lode?"
 
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Richard De Veaux (Williams College) presents "Data Mining: Fool's Gold? Or the Mother Lode?" as part of the MAA Distinguished Lecture Series. This lecture was jointly sponsored with the American Statistical Association in celebration of Mathematics Awareness Month. http://maa.org/news/2012DL-DeVeaux.html The MAA, with the generous support of the NSA, is proud to present a series of public lectures. The series features some of the foremost experts within the field of mathematics, known for their ability to make current mathematical ideas accessible to non-specialists, and provides a fabulous and fun learning opportunity for both professionals and students, as well as anyone interested in learning more about current trends in mathematics and the relationship between mathematics and broader scientific, engineering and technological endeavors. Editing by John Travis
Dominik Slezak  |  Poland | Big Data Analysis and Data Mining  2015 | Conference Series LLC
 
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2nd International Conference on Big Data Analysis and Data Mining November 30-December 01, 2015 San Antonio, USA Scientific Talk On: Knowledge Pit Platform for Modern Data Mining Competitions Click here for Abstract and Biography: http://datamining.conferenceseries.com/speaker/2015/dominik-slezak-university-of-warsaw-poland Conferenceseries LLC : http://www.conferenceseries.com Omics International : http://www.omicsonline.org/
Graph Mining and Analysis Lecture_3
 
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Graph Mining and Analysis Lecture_3 18 December 2015
Big Data Technologies
 
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Big Data Technologies Watch more Videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Arnab Chakraborty, Tutorials Point India Private Limited
Get latest data mining Thesis Topics for master and phd
 
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Get latest data mining thesis topics for master and phd in e2matrix . if you want proper guidance and thesis topics and projects and topics so you can contact to e2matrix . we are provides you proper guidance about your work . so you can't delay and do fast contact to e2matrix . call now : + 91 9041262727, e-mail: [email protected] Just click in the following link and Read more about cloud computing thesis topics http://www.e2matrix.com/blog/2018/07/04/data-mining-research-guidance-and-thesis-topics/ Thanks & Regards E2Matrix http://www.e2matrix.com/ Follow us on Social Media https://www.facebook.com/E2MatrixTrainingAndResearchInstitute/?ref=settings https://twitter.com/e2matrix_lab https://www.instagram.com/e2matrixresearch/
Views: 58 e2matrix e2matrix
Understanding the Big Data Landscape | Careers in Big Data Analytics | Big Data Tools
 
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#CareersInBigData | Understand the Big Data Analytics Landscape. career trends in Big Data analytics, skill sets required for a career in Data Science and industry perspectives. Know More about our Big Data Analytics Program: PGP-Big Data Analytics: https://goo.gl/QYwjpk Speakers Vinod Venkatraman holds a B.Tech from IIT Bombay in Computer Science. He spent 7 years at Stratify Inc, a Silicon Valley-based product firm, to start his career, followed by 4 years at Flipkart, where he rose to be Software Architect Harish K. Subramanian earned an MBA from Kellogg School of Management, an MS in Engineering from The University of Texas at Austin and a BE from RVCE, Bangalore. #BigData #BigDataAnalytics #GreatLakes #GreatLearning About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 - Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/u/0/108438615307549697541 - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube
Views: 1016 Great Learning
DEFCON 17: Dangerous Minds: The Art of Guerrilla Data Mining
 
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Speaker: Mark Ryan Del Moral Talabis Senior Consultant, Secure-DNA Consulting It is not a secret that in today's world, information is as valuable or maybe even more valuable that any security tool that we have out there. Information is the key. That is why the US Information Awareness Office's (IAO) motto is "scientia est potential", which means "knowledge is power". The IAO just like the CIA, FBI and others make information their business. Aside from these there are multiple military related projects like TALON,ECHELON, ADVISE, and MATRIX that are concerned with information gathering and analysis. The goal of the Veritas Project is to model itself in the same general threat intelligence premise as the organization above but primarily based on community sharing approach and using tools, technologies, and techniques that are freely available. Often, concepts that are part of artificial intelligence, data mining, and text mining are thought to be highly complex and difficult. Don't mistake me, these concepts are indeed difficult, but there are tools out there that would facilitate the use of these techniques without having to learn all the concepts and math behind these topics. And as sir Isaac Newton once said, "If I have seen further it is by standing on the shoulders of giants". The combination of all the techniques presented in this site is what we call "Guerrilla Data Mining". It's supposed to be fast, easy, and accessible to anyone. The techniques provides more emphasis on practicality than theory. For example, these tools and techniques presented can be used to visualize trends (e.g. security trends over time), summarize large and diverse data sets (forums, blogs, irc), find commonalities (e.g. profiles of computer criminals) gather a high level understanding of a topic (e.g. the US economy, military activities), and automatically categorize different topics to assist research (e.g. malware taxonomy). Aside from the framework and techniques themselves, the Veritas Project hopes to present a number of current ongoing studies that uses "guerilla data mining". Ultimately, our goal is to provide as much information in how each study was done so other people can generate their own studies and share them through the project. The following studies are currently available and will be presented: For more information visit: http://bit.ly/defcon17_information To download the video visit: http://bit.ly/defcon17_videos
Views: 3908 Christiaan008
Data Platforms & Analytics Trends - Operational and Analytical Databases
 
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451 Research Analyst Matt Aslett talks about the convergence of operational and analytical in both databases and applications
Views: 188 Reltio
Lecture 6 - Trend Detection In Twitter Social Data (Analyzing Big Data With Twitter)
 
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http://blogs.ischool.berkeley.edu/i290-abdt-s12/ Lecture 6: Kostas Tsioutsiouliklis on Twitter Trends and how to compute them Lecture notes: http://blogs.ischool.berkeley.edu/i290-abdt-s12/files/2012/08/Kostas_Trends_Sept_13_2012.pdf Course: Information 290. Analyzing Big Data with Twitter School of Information UC Berkeley Prof. Marti Hearst Course description: How to store, process, analyze and make sense of Big Data is of increasing interest and importance to technology companies, a wide range of industries, and academic institutions. In this course, UC Berkeley professors and Twitter engineers will lecture on the most cutting-edge algorithms and software tools for data analytics as applied to Twitter microblog data. Topics will include applied natural language processing algorithms such as sentiment analysis, large scale anomaly detection, real-time search, information diffusion and outbreak detection, trend detection in social streams, recommendation algorithms, and advanced frameworks for distributed computing. Social science perspectives on analyzing social media will also be covered. This is a hands-on project course in which students are expected to form teams to complete intensive programming and analytics projects using the real-world example of Twitter data and code bases. Engineers from Twitter will help advise student projects, and students will have the option of presenting their final project presentations to an audience of engineers at the headquarters of Twitter in San Francisco (in addition to on campus). Project topics include building on existing infrastructure tools, building Twitter apps, and analyzing Twitter data. Access to data will be provided.
CA - Emerging Trends in Data Management
 
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Data management techniques and tools continue to evolve as the amount of data we need to track and store continues to multiply. Hadoop, NoSQL, Cloud, MDM, Data Governance -- there seems to be a new hot topic every week in the data management arena. What does it all mean to the data architect? Join us to explore this question, and more! Topics to be covered include: Why is data management such a hot topic? The challenges for data management in the 21st century. Emerging trends and new technologies. The role of the data modeler in this new landscape. 2012 07 18
Views: 96 TechXtend
Document Management Trends
 
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Dan Wajzner explains in this video how businesses rely on information, from simple records to the use of data mining tools, into which document management (DM) introduces efficiencies in any industry sector. DM today comprises logically grouped data as well as historical paper documents, which means DM is often essential infrastructure, rather than a standalone application, that is capable of providing a BI dashboard of opportunities and threats.
Views: 226 Document Logistix
trends in big data
 
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Would we trust the future if we put it into the hands of machines? Would you trust a computerized doctor if the machine said your case was hopeless? Would you cast your vote at the ballot box based on an algorithm’s recommendations? If a mechanized police officer arrested you, would you comply? Should your computer listen to your gut instinct with your retirement money? As the fields of cybersecurity, big data and artificial intelligence intersect, the industry is moving towards enhanced human intelligence, rather than artificial machine intelligence, as the philosophical and practical answer to these questions.
Views: 88 Mike Eskenazi
Advanced Analytics of Sales Data
 
59:06
If your company is like many others, you have embraced Salesforce.com (SFDC) as your CRM tool. You can’t live without it. All your lead and customer information, in one handy place. But...How does your current pipeline compare to this time last year? Last qtr? Which of your field reps are demonstrating the greatest success, and in what areas? You have become painfully aware of the limitations of one of your most important data sources. Rich Taylor, Looker’s Senior Director of Operations & Marketing (and a long time SFDC user), chats with Kevin Marr, Senior Looker Data Analyst discussing the ways we, as well as our customers, use Looker to get the most out of data captured by SFDC. Better ways to leverage your SFDC Data with Looker: - Snapshots of pipeline: Develop a clear understanding of the business, trends over time, and pipeline vs. target analysis. - Conversion Rates: view them at each step of the sales funnel, and compare them across teams, individuals, and timeframes. - Identifying trends: Project the probability of pipeline closing over time. - Rep Specific Dashboards: Compare a single rep to team and the entire sales org on multiple factors, including customer health for improved and proactive customer retention.
Views: 3893 Looker
Trends In Data Science | Twin Cities Startup Week | Cludo
 
03:45
Dr. Manjeet Rege, Brianna Noland and Corey Christensen discuss how the current trends in data science affect educational institutions and the private sector. "The Future of Marketing in the Age of Machine Learning", sponsored by Twin Cities Startup Week, explored how both machine learning and artificial intelligence affects marketing and consumer engagement. https://tcsw18.sched.com/event/G7B7?i... Founded in Copenhagen, Cludo is one of the world’s leading site search and insights providers. Our easy to use site search platform is utilized by marketers at some of the biggest brands, educational institutions and government organizations across the globe to easily tailor and gain deep insights from their website’s search functionality. Cludo’s intelligent solutions are compatible with any website, and can be installed in minutes. https://www.cludo.com/ Twitter: https://twitter.com/CludoApp Facebook: https://www.facebook.com/cludoapp/ LinkedIn: https://www.linkedin.com/company/cludo-aps/
Advanced Data Mining with Weka (2.5: Classifying tweets)
 
06:31
Advanced Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 5: Classifying tweets http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/4vZhuc https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 3775 WekaMOOC
Trends: Big Data
 
00:49
BI & Big Data Recruiter, Matthieu Bouildé looks at the latest developments in the world of AI and discusses machine learning.
Views: 228 Montreal Associates