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Everything about 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. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Domain-driven data miningA 5-minute orientation
- Skim a recent paper: Recent advances in domain-driven data miningInfluential work since 2022
- Pick up a classic book: Neural Information ProcessingThe most-reprinted book on the subject
- Read the landmark paper: Domain-Driven Data Mining: Challenges and ProspectsCited 102 times
- Go sideways: Longbing CaoA closely related topic
- Go sideways: Bing Liu (computer scientist)A closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Domain-Driven Data Mining: Challenges and Prospects
Domain driven data mining in human resource management: A review of current research
Internet of Things-Driven Data Mining for Smart Crop Production Prediction in the Peasant Farming Domain
THE EVOLUTION OF KDD: TOWARDS DOMAIN-DRIVEN DATA MINING
Domain-Driven Data Mining
3DM: Domain-oriented Data-driven Data Mining
A Paradigm-Shifting From Domain-Driven Data Mining Frameworks to Process-Based Domain-Driven Data Mining-Actionable Knowledge Discovery Framework
Actionable Knowledge Discovery for Increasing Enterprise Profit, Using Domain Driven-Data Mining
🆕 Influential since 2022
📚 Books worth reading
Neural Information ProcessingTingwen Huang · 2012
Natural Language Processing and Information SystemsElisabeth Métais · 2005
Treaty Occupationay ToxicologySuelen Queiroz · 2010
The Conspirators HierarchyJohn Coleman · 1992- 📕Integration of data mining in business intelligence systemsAna Azevedo, Manuel Filipe Santos · 2014
Advances in Computing, Communication, and ControlSrija Unnikrishnan · 2013
Domain driven data miningLongbing Cao · 2010
Domain Driven Data MiningLongbing Cao, Philip S. Yu · 2014
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Longbing Cao Longbing Cao (Chinese: 操龙兵; born in 1969[citation needed]) is an AI and data science researcher at the University of Technology Sydney, Australia. His…
- Bing Liu (computer scientist) Bing Liu is a Chinese-American professor of computer science who specializes in data mining, machine learning, and natural language processing. In 2002…
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- Examples of data mining Data mining, the process of discovering patterns in large data sets, has been used in many applications. Drone monitoring and satellite imagery are some…
- Gautam Das (computer scientist) Gautam Das is a computer scientist in the field of databases research. He is an ACM Fellow (since 2021), IEEE Fellow (since 2020), as well as an AAIA Fellow…
- Usama Fayyad Usama M. Fayyad (born July 1963) is a Tunisian-born Jordanian-American data scientist. He is a co-founder of KDD conferences and ACM SIGKDD association…