Data mining and Knowledge Discovery

Data mining

Knowledge Discovery

Data Mining: The Knowledge Discovery of Data

Analytics Vidhya

FEBRUARY 20, 2023

When you think about it, almost every device or service we use generates a large amount of data (for example, Facebook processes approximately 500+ terabytes of data per day).

Knowledge Discovery

Knowledge Discovery Data mining Analytics KDD

Fundamentals of Data Mining

Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

Data mining

Data mining KDD Data Science Knowledge Discovery

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Automation, Evolved: Your New Playbook For Smarter Knowledge Work

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Trending Sources

Data Mining Use Cases

TDAN

JUNE 15, 2022

Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. As the amount of data generated […]. “Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. And he has a point.

Data mining

Data mining Big Data Forecasting Marketing

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Automation, Evolved: Your New Playbook For Smarter Knowledge Work

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KDD 2020 Opens Call for Papers

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.

KDD

KDD Knowledge Discovery Data mining Data Science

KDD 2020 Call for Research, Applied Data Science Papers

KDnuggets

DECEMBER 12, 2019

ACM SIGKDD Invites Industry and Academic Experts to Submit Advancements in Data Mining, Knowledge Discovery and Machine Learning for 26 th Annual Conference in San Diego.

KDD

KDD Knowledge Discovery Data Science Data mining

Business Intelligence System: Definition, Application & Practice

FineReport

JULY 16, 2021

Business intelligence (BI) leverages data analysis to form actionable insights that inform an organization’s strategic and tactical business decisions. Data Mining. In practical applications, data mining is also used to mine the past and predict the future.

Business Intelligence

Business Intelligence Informatics Data Warehouse Data mining

How Do Super Rookies Start Learning Data Analysis?

FineReport

DECEMBER 19, 2019

For super rookies, the first task is to understand what data analysis is. Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. One is how to gain insights from the data. Data is cold and can’t speak. From Google. There are two points here.

Knowledge Discovery

Knowledge Discovery Visualization Data mining Reporting

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

Data mining for direct marketing: Problems and solutions. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Machine learning for the detection of oil spills in satellite radar images. 30(2–3), 195–215. link] Ling, C. X., & Li, C. Quinlan, J. Smith, J.

Machine Learning

Machine Learning Metrics Data mining Data Science

Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

References [1] Henning Hohnhold, Deirdre O'Brien, Diane Tang, Focus on the Long-Term: It's better for Users and Business , Proceedings 21st Conference on Knowledge Discovery and Data Mining, 2015. [2] 2] Ron Kohavi, Randal M.

Modeling

Modeling Experimentation Knowledge Discovery KDD

Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

JULY 22, 2020

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2] Scott, Steven L. armed bandit experiments in the online service economy." 2015): 37-45. [3]

Experimentation

Experimentation Statistics Testing Knowledge Discovery

Using Empirical Bayes to approximate posteriors for large "black box" estimators

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

Brendan McMahan et al, "Ad Click Prediction: a View from the Trenches" , Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013. [3] 3] Bradley Efron, "Robbins, Empirical Bayes, and Microarrays" , Technical Report, 2003. [4]

KDD

KDD Testing Machine Learning Measurement

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

AUGUST 1, 2021

Conference on Knowledge Discovery and Data Mining, pp. Guestrin, C., Why should I trust you?: Explaining the predictions of any classifier , Proceedings of the 22nd ACM SIGKDD International. 1135–1144, ACM, 2016. Bahdanau, D., Cho, K., & Bengio, Y.,

Modeling

Modeling Deep Learning Machine Learning Knowledge Discovery

Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

JANUARY 14, 2016

References [1] Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike Meyer, “ Overlapping Experiment Infrastructure: More, Better, Faster Experimentation ”, Proceedings 16th Conference on Knowledge Discovery and Data Mining, Washington, DC

Experimentation

Experimentation Statistics Metrics Measurement

LSOS experiments: how I learned to stop worrying and love the variability

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

References [1] Diane Tang, Ashish Agarwal, Deirdre O’Brien, Mike Meyer, “ Overlapping Experiment Infrastructure: More, Better, Faster Experimentation ”, Proceedings 16th Conference on Knowledge Discovery and Data Mining, Washington, DC

Experimentation

Experimentation Statistics Metrics Measurement

Data Leaders Brief

Data Mining: The Knowledge Discovery of Data

Fundamentals of Data Mining

Webinars

Trending Sources

Data Mining Use Cases

Webinars

KDD 2020 Opens Call for Papers

KDD 2020 Call for Research, Applied Data Science Papers

Business Intelligence System: Definition, Application & Practice

How Do Super Rookies Start Learning Data Analysis?

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Experiment design and modeling for long-term studies in ads

Changing assignment weights with time-based confounders

Using Empirical Bayes to approximate posteriors for large "black box" estimators

Explaining black-box models using attribute importance, PDPs, and LIME

Variance and significance in large-scale online services

LSOS experiments: how I learned to stop worrying and love the variability

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