Data mining

Domain driven data mining

Domain driven data mining is a data mining methodology for discovering actionable knowledge and deliver actionable insights from complex data and behaviors in a complex environment. It studies the corresponding foundations, frameworks, algorithms, models, architectures, and evaluation systems for actionable knowledge discovery. Data-driven pattern mining and knowledge discovery in databases face such challenges that the discovered outputs are often not actionable. In the era of big data, how to effectively discover actionable insights from complex data and environment is critical. A significant paradigm shift is the evolution from data-driven pattern mining to domain-driven actionable knowledge discovery. Domain driven data mining is to enable the discovery and delivery of actionable knowledge and actionable insights. Domain driven data mining has attracted significant attention from both academic and industry.There was a workshop series on domain driven data mining during 2007-2014 with the IEEE International Conference on Data Mining and a special issue published by the IEEE Transactions on Knowledge and Data Engineering.There are also various new research problems and challenges in the last decade, where the incorporation of domain knowledge into data mining processes and models, such as deep neural networks, graph embedding, text mining, and reinforcement learning, is critically important. (Wikipedia).

Video thumbnail

What is Data Mining ? | Edureka

( R Training : https://www.edureka.co/r-for-analytics ) Data mining is the process of digging out useful and interesting knowledge from large amounts of data. R is a free software environment, which provides a wide variety of statistical and graphical techniques meant for statistical compu

From playlist R Tutorial Videos

Video thumbnail

Data Exploration & Visualization | Introduction to Data Mining part 20

In this Data Mining Fundamentals tutorial, we introduce you to data exploration and visualization and what they are to data mining. Data exploration is visualization and calculation to better understand characteristics of data. We will tell you the key motivations of data exploration as we

From playlist Introduction to Data Mining

Video thumbnail

Intro to Data Science: Historical Context

This lecture provides some historical context for data science and data-intensive scientific inquiry. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com

From playlist Intro to Data Science

Video thumbnail

Graph & Ordered Data | Introduction to Data Mining part 6

In this Data Mining Fundamentals tutorial, we introduce graph data and ordered data, and discuss the different types of ordered data such as spatial-temporal and genomic data. -- Learn more about Data Science Dojo here: https://datasciencedojo.com/data-science-bootcamp/ Watch the latest v

From playlist Introduction to Data Mining

Video thumbnail

Machine Learning Techniques for Data Science | Machine Learning Tutorial 1 | Data Science Tutorial

( Data Science Training - https://www.edureka.co/data-science ) Watch sample class recording: http://www.edureka.co/data-science?utm_source=youtube&utm_medium=referral&utm_campaign=machine-learning-tut-1 Data science is the study of the generalizable extraction of knowledge from data, ye

From playlist Data Science Training Videos

Video thumbnail

Data Science Tutorial for Beginners - 1 | What is Data Science? | Data Analytics Tools | Edureka

( Data Science Training - https://www.edureka.co/data-science ) Data Science Blog Series: https://goo.gl/1CKTyN http://www.edureka.co/data-science Please write back to us at sales@edureka.co or call us at +91-8880862004 for more information. Data Science is all about extracting knowledge

From playlist Data Science Training Videos

Video thumbnail

Digital Twins

This lecture discusses the use of data-driven digital twins in advanced model-based design and engineering, and the related digital thread, which ties together the data throughout an entire complex engineering process, such as manufacturing. Book website: http://databookuw.com/ Steve Br

From playlist Intro to Data Science

Video thumbnail

WiDS Livermore 2022 | Beginner Workshop Track

On March 7, 2022, LLNL hosted its fifth annual WiDS Livermore event in conjunction with the worldwide Women in Data Science (WiDS) conference. Learn more about WiDS Livermore at https://data-science.llnl.gov/wids. Gale M. Lucas, a research assistant professor at the University of Southern

From playlist WiDS Livermore

Video thumbnail

R Training | R Programming Language For Beginners | R Programming Training | Edureka

** Data Science Master's Program: https://www.edureka.co/masters-program/data-scientist-certification ** This Edureka R Training video (R Tutorial Blog: https://goo.gl/mia382) will help you in understanding the need of analytics and fundamentals of R with examples. This video helps you to

From playlist R Tutorial Videos

Video thumbnail

Dec 2017: Big Data Analytics for Petroleum Engineering: Hype or Panacea?

Recorded on December 8, 2017 Presenters: Dr. Michael Pyrcz, Petroleum and Geosystems Engineering (moderator) Dr. Larry Lake, Petroleum and Geosystems Engineering Dr. Joydeep Ghosh, Electrical and Computer Engineering

From playlist Random Talks

Video thumbnail

Affect of Global Recession on Analytics Industry | COVID-19 Impact on Data Analytics Market| Edureka

🔥Edureka Data Analytics with R Certification Training: https://www.edureka.co/data-analytics-with-r-certification-training This Edureka Session talks about the Analytics Industry, what it contributes to various domains during an economic crisis and why it won't be affected as adversely as

From playlist Data Analytics with R Tutorial Videos

Video thumbnail

Data-driven materials discovery | The Royal Society

Join us for the Clifford Paterson Lecture 2020 given by Professor Jacqui Cole. #crystallography #chemistry #energy #materials #ai Join the discussion: https://app.sli.do/event/ovdxfNLv5bS1gHViyN9P14 StreamText offers a full page of captions and you can personalise the display adjusting

From playlist Latest talks and lectures

Video thumbnail

Data Science and Machine Learning for Non Programmers | Data Science for Beginners | Edureka

🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai This Edureka video on "Data Science and Machine Learning for Non-programmers" is a part of the Data Science for Beginners Tutorial Series whic

From playlist Data Science Training Videos

Video thumbnail

Who is a Data Scientist? | How to become a Data Scientist? | Data Science Course | Edureka

** Data Scientist Masters' Program: https://www.edureka.co/masters-program/data-scientist-certification ** This Edureka video on "Who is a Data Scientist" will help you understand what a data scientist does, their roles and responsibilities, and what the data science profile is all about.

From playlist Data Science Training Videos

Video thumbnail

Data Modeling Tutorial | Data Modeling for Data Warehousing | Data Warehousing Tutorial | Edureka

***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, th

From playlist Data Warehousing Tutorial Videos

Video thumbnail

Intro to Data Science: Answering Questions with Data

This lecture describes the central aspect of data science: asking and answering questions with data. In particular, we discuss the thought process and progression of questions one might ask and answer with data science. Book website: http://databookuw.com/ Steve Brunton's website: eigen

From playlist Intro to Data Science

Video thumbnail

Stanford Seminar - Design Mining the Web, Ranjitha Kumar

Ranjitha Kumar Stanford University This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will disc

From playlist Stanford Seminars

Video thumbnail

O'Reilly Webcast: How We Build Data Mining Teams at Yelp

Starting and growing a data science team doesn't have to be a risky proposition. By balancing long term strategy and technology goals with immediate business demands, your data science team can quickly become productive and enjoy sustained growth. To accomplish this you need to: Find

From playlist O'Reilly Webcasts 2

Related pages

Data mining | Big data