Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Data mining

Known as: Pattern Mining, Information mining, Knowledge discovering in databases 
Data mining is an interdisciplinary subfield of computer science. It is the computational process of discovering patterns in large data sets… Expand
Wikipedia

Related topics

Related topics

50 relations
AI winterAleksandar LazarevicArtificial intelligence (video games)Behavior informatics
Expand

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Network Representation Learning: A Survey
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex… Expand
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • table 2
Is this relevant?
Review
2018
Review
2018
Feature selection in machine learning: A new perspective
Abstract High-dimensional data analysis is a challenge for researchers and engineers in the fields of machine learning and data… Expand
Is this relevant?
Review
2018
Review
2018
Mining Electronic Health Records (EHRs): A Survey
The continuously increasing cost of the US healthcare system has received significant attention. Central to the ideas aimed at… Expand
  • figure 1
  • table I
  • table II
Is this relevant?
Review
2018
Review
2018
Sequence-Aware Recommender Systems
Recommender systems are one of the most successful applications of data mining and machine-learning technology in practice… Expand
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • table 2
Is this relevant?
Review
2018
Review
2018
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding… Expand
  • figure 1
  • figure 2
  • table 3
  • table 4
  • table 5
Is this relevant?
Review
2017
Review
2017
Privacy-Preserving Data Mining: Methods, Metrics, and Applications
The collection and analysis of data are continuously growing due to the pervasiveness of computing devices. The analysis of such… Expand
  • table 1
  • table 2
  • table 3
  • table 4
  • table 5
Is this relevant?
Review
2017
Review
2017
Twitter sentiment analysis using hybrid cuckoo search method
A hybrid cuckoo search method (CSK) has been presented for Twitter sentiment analysis.CSK modifies the random initialization of… Expand
  • figure 1
  • figure 2
  • table 1
  • table 2
  • table 3
Is this relevant?
Review
2017
Review
2017
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
Data mining and analytics have played an important role in knowledge discovery and decision making/supports in the process… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Review
2017
Review
2017
Data and knowledge mining with big data towards smart production
Abstract Driven by the innovative improvement of information and communication technologies (ICTs) and their applications into… Expand
Is this relevant?
Review
2017
Review
2017
Fake News Detection on Social Media: A Data Mining Perspective
Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of… Expand
  • figure 1
  • table 1
  • figure 2
Is this relevant?
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE