Jae-Gil Lee – författare

The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.

The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.

The seven-volume set LNCS 14850-14856 constitutes the proceedings of the 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, held in Gifu, Japan, in July 2024.

The total of 147 full papers, along with 85 short papers, presented together in this seven-volume set was carefully reviewed and selected from 722 submissions.

Additionally, 14 industrial papers, 18 demo papers and 6 tutorials are included.

The conference presents papers on subjects such as:

Part I: Spatial and temporal data; database core technology; federated learning.

Part II: Machine learning; text processing.

Part III: Recommendation; multi-media.

Part IV: Privacy and security; knowledge base and graphs.

Part V: Natural language processing; large language model; time series and stream data.

Part VI: Graph and network; hardware acceleration.

Part VII: Emerging application; industry papers; demo papers.

The seven-volume set LNCS 14850-14856 constitutes the proceedings of the 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, held in Gifu, Japan, in July 2024.

The total of 147 full papers, along with 85 short papers, presented together in this seven-volume set was carefully reviewed and selected from 722 submissions.

Additionally, 14 industrial papers, 18 demo papers and 6 tutorials are included.

The conference presents papers on subjects such as:

Part I: Spatial and temporal data; database core technology; federated learning.

Part II: Machine learning; text processing.

Part III: Recommendation; multi-media.

Part IV: Privacy and security; knowledge base and graphs.

Part V: Natural language processing; large language model; time series and stream data.

Part VI: Graph and network; hardware acceleration.

Part VII: Emerging application; industry papers; demo papers.

The seven-volume set LNCS 14850-14856 constitutes the proceedings of the 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, held in Gifu, Japan, in July 2024.

The total of 147 full papers, along with 85 short papers, presented together in this seven-volume set was carefully reviewed and selected from 722 submissions.

Additionally, 14 industrial papers, 18 demo papers and 6 tutorials are included.

The conference presents papers on subjects such as:

Part I: Spatial and temporal data; database core technology; federated learning.

Part II: Machine learning; text processing.

Part III: Recommendation; multi-media.

Part IV: Privacy and security; knowledge base and graphs.

Part V: Natural language processing; large language model; time series and stream data.

Part VI: Graph and network; hardware acceleration.

Part VII: Emerging application; industry papers; demo papers.

The seven-volume set LNCS 14850-14856 constitutes the proceedings of the 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, held in Gifu, Japan, in July 2024.

The total of 147 full papers, along with 85 short papers, presented together in this seven-volume set was carefully reviewed and selected from 722 submissions.

Additionally, 14 industrial papers, 18 demo papers and 6 tutorials are included.

The conference presents papers on subjects such as:

Part I: Spatial and temporal data; database core technology; federated learning.

Part II: Machine learning; text processing.

Part III: Recommendation; multi-media.

Part IV: Privacy and security; knowledge base and graphs.

Part V: Natural language processing; large language model; time series and stream data.

Part VI: Graph and network; hardware acceleration.

Part VII: Emerging application; industry papers; demo papers.

The seven-volume set LNCS 14850-14856 constitutes the proceedings of the 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, held in Gifu, Japan, in July 2024.

The total of 147 full papers, along with 85 short papers, presented together in this seven-volume set was carefully reviewed and selected from 722 submissions.

Additionally, 14 industrial papers, 18 demo papers and 6 tutorials are included.

The conference presents papers on subjects such as:

Part I: Spatial and temporal data; database core technology; federated learning.

Part II: Machine learning; text processing.

Part III: Recommendation; multi-media.

Part IV: Privacy and security; knowledge base and graphs.

Part V: Natural language processing; large language model; time series and stream data.

Part VI: Graph and network; hardware acceleration.

Part VII: Emerging application; industry papers; demo papers.

The seven-volume set LNCS 14850-14856 constitutes the proceedings of the 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, held in Gifu, Japan, in July 2024.

The total of 147 full papers, along with 85 short papers, presented together in this seven-volume set was carefully reviewed and selected from 722 submissions.

Additionally, 14 industrial papers, 18 demo papers and 6 tutorials are included.

The conference presents papers on subjects such as:

Part I: Spatial and temporal data; database core technology; federated learning.

Part II: Machine learning; text processing.

Part III: Recommendation; multi-media.

Part IV: Privacy and security; knowledge base and graphs.

Part V: Natural language processing; large language model; time series and stream data.

Part VI: Graph and network; hardware acceleration.

Part VII: Emerging application; industry papers; demo papers.