Difference between revisions of "PAKDD 2020"

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(Created page with "{{Event |Acronym=PAKDD 2020 |Title=24th Pacific-Asia Conference on Knowledge Discovery and Data Mining |Series=PAKDD |Type=Conference |Start date=2020/05/11 |End date=2020/05/...")
 
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|Start date=2020/05/11
 
|Start date=2020/05/11
 
|End date=2020/05/14
 
|End date=2020/05/14
 +
|Homepage=https://pakdd2020.org/
 
|City=Singapore
 
|City=Singapore
 
|Country=Republic of Singapore
 
|Country=Republic of Singapore
 
}}
 
}}
 
Due to the unexpected COVID-19 epidemic, we made all the conference
 
Due to the unexpected COVID-19 epidemic, we made all the conference
sessions accessible online to participants around the world, which was unprecedented
+
sessions accessible online to participants around the world.
in the PAKDD history
+
 
 +
Topics
 +
 
 +
*    Anomaly detection and analytics
 +
*    Association analysis
 +
*    Classification
 +
*    Clustering
 +
*    Data pre-processing
 +
*    Deep learning theory and applications in KDD
 +
*    Explainable machine learning
 +
*    Factor and tensor analysis
 +
*    Feature extraction and selection
 +
*    Fraud and risk analysis
 +
*    Human, domain, organizational, and social factors in data mining
 +
*    Integration of data warehousing, OLAP, and data mining
 +
*    Interactive and online mining
 +
*    Mining behavioral data
 +
*    Mining dynamic/streaming data
 +
*    Mining graph and network data
 +
*    Mining heterogeneous/multi-source data
 +
*    Mining high dimensional data
 +
*    Mining imbalanced data
 +
*    Mining multi-media data
 +
*    Mining scientific data
 +
*    Mining sequential data
 +
*    Mining social networks
 +
*    Mining spatial and temporal data
 +
*    Mining uncertain data
 +
*    Mining unstructured and semi-structured data
 +
*    Novel models and algorithms
 +
*    Opinion mining and sentiment analysis
 +
*    Parallel, distributed, and cloud-based high-performance data mining
 +
*    Post-processing including quality assessment and validation
 +
*    Privacy preserving data mining
 +
*    Recommender systems
 +
*    Representation learning and embedding
 +
*    Security and intrusion detection
 +
*    Statistical methods and graphical models for data mining
 +
*    Supervised learning
 +
*    Theoretic foundations of KDD
 +
*    Ubiquitous knowledge discovery and agent-based data mining
 +
*    Unsupervised learning
 +
*    Visual data mining
 +
*    Applications to healthcare, bioinformatics, computational chemistry, finance, eco-informatics, marketing, gaming, cyber-security,    and industry-related problems

Revision as of 14:13, 20 May 2020

PAKDD 2020
24th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Event in series PAKDD
Dates 2020/05/11 (iCal) - 2020/05/14
Homepage: https://pakdd2020.org/
Location
Location: Singapore, Republic of Singapore
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Table of Contents


Event


Due to the unexpected COVID-19 epidemic, we made all the conference sessions accessible online to participants around the world.

Topics

  • Anomaly detection and analytics
  • Association analysis
  • Classification
  • Clustering
  • Data pre-processing
  • Deep learning theory and applications in KDD
  • Explainable machine learning
  • Factor and tensor analysis
  • Feature extraction and selection
  • Fraud and risk analysis
  • Human, domain, organizational, and social factors in data mining
  • Integration of data warehousing, OLAP, and data mining
  • Interactive and online mining
  • Mining behavioral data
  • Mining dynamic/streaming data
  • Mining graph and network data
  • Mining heterogeneous/multi-source data
  • Mining high dimensional data
  • Mining imbalanced data
  • Mining multi-media data
  • Mining scientific data
  • Mining sequential data
  • Mining social networks
  • Mining spatial and temporal data
  • Mining uncertain data
  • Mining unstructured and semi-structured data
  • Novel models and algorithms
  • Opinion mining and sentiment analysis
  • Parallel, distributed, and cloud-based high-performance data mining
  • Post-processing including quality assessment and validation
  • Privacy preserving data mining
  • Recommender systems
  • Representation learning and embedding
  • Security and intrusion detection
  • Statistical methods and graphical models for data mining
  • Supervised learning
  • Theoretic foundations of KDD
  • Ubiquitous knowledge discovery and agent-based data mining
  • Unsupervised learning
  • Visual data mining
  • Applications to healthcare, bioinformatics, computational chemistry, finance, eco-informatics, marketing, gaming, cyber-security, and industry-related problems
Facts about "PAKDD 2020"
AcronymPAKDD 2020 +
End dateMay 14, 2020 +
Event in seriesPAKDD +
Has coordinates1° 20' 27", 103° 49' 49"Latitude: 1.3408638888889
Longitude: 103.83039166667
+
Has location citySingapore +
Has location countryCategory:Republic of Singapore +
Homepagehttps://pakdd2020.org/ +
IsAEvent +
Start dateMay 11, 2020 +
Title24th Pacific-Asia Conference on Knowledge Discovery and Data Mining +