Difference between revisions of "PAKDD 2019"
Heike.Rohde (talk | contribs) |
Heike.Rohde (talk | contribs) |
||
| Line 12: | Line 12: | ||
|has program chair=Zhiguo Gong, Min-Ling Zhang | |has program chair=Zhiguo Gong, Min-Ling Zhang | ||
|has workshop chair=Hady W. Lauw, Leong Hou U | |has workshop chair=Hady W. Lauw, Leong Hou U | ||
| + | |has Proceedings Link=https://link.springer.com/book/10.1007%2F978-3-030-16142-2 | ||
}} | }} | ||
Topics | Topics | ||
Revision as of 19:23, 20 May 2020
| PAKDD 2019 | |
|---|---|
23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining
| |
| Event in series | PAKDD |
| Dates | 2019/04/14 (iCal) - 2019/04/17 |
| Homepage: | https://pakdd2019.medmeeting.org/Content/100312 |
| Location | |
| Location: | Macau, China |
Loading map... | |
| Committees | |
| General chairs: | Qiang Yang, Zhi-Hua Zhou |
| PC chairs: | Zhiguo Gong, Min-Ling Zhang |
| Workshop chairs: | Hady W. Lauw, Leong Hou U |
| Table of Contents | |
Topics
PAKDD 2019 welcomes high-quality, original and previously unpublished submissions in the theory, practice, and applications on all aspects of knowledge discovery and data mining. Topics of relevance for the conference include, but not limited to, the following: ● Theoretic foundations of KDD ● Deep learning theory and applications in KDD ● Novel models and algorithms ● Statistical methods and graphical models for data mining ● Anomaly detection and analytics ● Association analysis ● Clustering ● Classification ● Data pre-processing ● Feature extraction and selection ● Post-processing including quality assessment and validation ● Mining heterogeneous/multi-source data ● Mining sequential data ● Mining spatial and temporal data ● Mining unstructured and semi-structured data ● Mining graph and network data ● Mining social networks ● Mining high dimensional data ● Mining uncertain data ● Mining imbalanced data ● Mining dynamic/streaming data ● Mining behavioral data ● Mining multi-media data ● Mining scientific data ● Privacy preserving data mining ● Fraud and risk analysis ● Security and intrusion detection ● Visual data mining ● Interactive and online mining ● Ubiquitous knowledge discovery and agent-based data mining ● Integration of data warehousing, OLAP, and data mining ● Parallel, distributed, and cloud-based high-performance data mining ● Opinion mining and sentiment analysis ● Human, domain, organizational, and social factors in data mining ● Applications to healthcare, bioinformatics, computational chemistry, finance, eco-informatics, marketing, gaming, cyber-security, and industry-related problems
| Acceptance rate | 21.5 + |
| Accepted papers | 135 + |
| Acronym | PAKDD 2019 + |
| End date | April 17, 2019 + |
| Event in series | PAKDD + |
| Event type | Conference + |
| Has coordinates | 22° 10' 33", 113° 33' 5"Latitude: 22.175761111111 Longitude: 113.55141388889 + |
| Has general chair | Qiang Yang + and Zhi-Hua Zhou + |
| Has location city | Macau + |
| Has location country | Category:China + |
| Has program chair | Zhiguo Gong + and Min-Ling Zhang + |
| Has workshop chair | Hady W. Lauw + and Leong Hou U + |
| Homepage | https://pakdd2019.medmeeting.org/Content/100312 + |
| IsA | Event + |
| Start date | April 14, 2019 + |
| Submitted papers | 628 + |
| Title | 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining + |
