Files
logseq/pages/hls__MAIN_extremedatamining_1671621364314_0.md
T
2025-06-02 17:15:13 +02:00

167 lines
5.4 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
file:: [MAIN_extremedatamining_1671621364314_0.pdf](../assets/MAIN_extremedatamining_1671621364314_0.pdf)
file-path:: ../assets/MAIN_extremedatamining_1671621364314_0.pdf
- STO2: Design and implementation of a polyglot data pipeline development environment
ls-type:: annotation
hl-page:: 10
hl-color:: green
id:: 63a2ee78-765a-456a-b751-d99874c5a7a9
- STO4: Development of intelligent recommenders for data mining assistance
ls-type:: annotation
hl-page:: 11
hl-color:: green
id:: 63a2ee90-ecfb-464f-b279-e4d1fca6aa3c
- the
ls-type:: annotation
hl-page:: 1
hl-color:: green
id:: 63b93120-c28f-4af2-b545-69c467afdf69
- C1 - Ensuring high-quality data
ls-type:: annotation
hl-page:: 2
hl-color:: green
id:: 63badd17-ef03-4ae5-ab1e-7937b5f03599
- STO1: Development of a data quality management system
ls-type:: annotation
hl-page:: 3
hl-color:: blue
id:: 63badd3b-6650-43e1-a431-d5b652eeb808
hl-stamp:: 1673190794023
- C2 - Enabling platform-independent data-mining
ls-type:: annotation
hl-page:: 2
hl-color:: green
id:: 63badd4b-f211-4497-925a-1dcce4ba4809
- C3 - Facilitating the application of advanced data analytics components
ls-type:: annotation
hl-page:: 2
hl-color:: green
id:: 63badd4e-126a-4634-a1c0-29b69e5c4a1a
- C4 - Providing assistance during data mining processes
ls-type:: annotation
hl-page:: 3
hl-color:: green
id:: 63badd52-8265-48d6-ace0-f718647e0ff8
- C5 - Optimizing the execution of data pipelines
ls-type:: annotation
hl-page:: 3
hl-color:: green
id:: 63badd57-20db-43cd-9425-7a0b9154ba73
- STO2: Design and implementation of a polyglot data pipeline development environment
ls-type:: annotation
hl-page:: 3
hl-color:: blue
id:: 63badd93-b6a9-42ad-b007-763e49e78143
- STO3: Development of advanced analytics techniques for deep data mining
ls-type:: annotation
hl-page:: 3
hl-color:: blue
id:: 63badda1-cb3e-4602-b4cd-4713c2c0a745
- STO4: Development of intelligent recommenders for data mining assistance
ls-type:: annotation
hl-page:: 3
hl-color:: blue
id:: 63baddab-1b7d-4fe8-864c-c9d179cdea64
- STO5: Development of an optimised data mining execution environment
ls-type:: annotation
hl-page:: 3
hl-color:: blue
id:: 63baddb9-7bcb-4d2b-9895-82f0889269b1
- [:span]
ls-type:: annotation
hl-page:: 26
hl-color:: green
id:: 63baeb5f-d703-498f-816b-112fab152a7c
hl-type:: area
hl-stamp:: 1673194331555
- [:span]
ls-type:: annotation
hl-page:: 2
hl-color:: green
id:: 63baecf8-171f-4c23-a378-35abc1a6a500
hl-type:: area
hl-stamp:: 1673194737703
- DataCloud (https://cordis.europa.eu/project/id/101016835) aims at supporting the development of BigData pipelines to interconnect end-to-end industrial operations of collecting, pre-processing and filtering data, transforming and delivering insights, training simulation models, and applying them in the cloud. The CLOUDMINER advanced analytics techniques for deep data mining (including the multidimensional visualizations, and the chatbots), the envisaged recommender systems, and the scalable micro-service architecture can be of interest to DataCloud; CLOUDMINER can benefit from the work done in DataCloud for developing the low-code development environment;
ls-type:: annotation
hl-page:: 16
hl-color:: green
id:: 63ca557d-5436-42b8-ab84-90754bf4b2dc
- Maastricht University
ls-type:: annotation
hl-page:: 1
hl-color:: red
id:: 63dcd259-db41-4f13-9245-f4272cd270bf
- CEA Lis
ls-type:: annotation
hl-page:: 1
hl-color:: purple
id:: 63dcd25d-186d-4e13-a01c-33d35b594ff7
hl-stamp:: 1675416243467
- Edge Hill University
ls-type:: annotation
hl-page:: 1
hl-color:: purple
id:: 63dcd260-172c-48b8-b8fc-06d709f0c1da
hl-stamp:: 1675416272152
- TOG
ls-type:: annotation
hl-page:: 1
hl-color:: green
id:: 63dcd277-6f2c-49b7-9e61-c844783e50b3
- University of LAquila
ls-type:: annotation
hl-page:: 1
hl-color:: green
id:: 63dcd27d-f622-4d7c-bdac-6fbbbab7276e
- University of York
ls-type:: annotation
hl-page:: 1
hl-color:: green
id:: 63dcd281-f60f-45cc-b272-ed0db169c0f9
- nstitut f ̈ur angewandte Systemtechnik Bremen GmbH
ls-type:: annotation
hl-page:: 1
hl-color:: green
id:: 63dcd287-48aa-454a-810b-6e337dbc984b
- Contemporary Learning Management Systems
ls-type:: annotation
hl-page:: 1
hl-color:: green
id:: 63dcd2a5-6f33-4ac9-a938-13c9d6d51b15
- Kachelmann GMBH (Meteologix)
ls-type:: annotation
hl-page:: 1
hl-color:: red
id:: 63dcd469-10d4-4170-9dbf-5385c59470dd
- CNET Centre For New Energy Technologies SA
ls-type:: annotation
hl-page:: 1
hl-color:: yellow
id:: 63dcd4be-51b4-4579-8437-ecf84db48cd2
hl-stamp:: 1675416801586
- Infotripla OY
ls-type:: annotation
hl-page:: 1
hl-color:: green
id:: 63dcd4fe-bb45-4acc-a17b-4fd611218bc4
- Continental Automotive Technologies GmbH
ls-type:: annotation
hl-page:: 1
hl-color:: red
id:: 63dcd51d-7b87-4736-b738-05fade8ce5ad
hl-stamp:: 1675417124331
- Maieutica Cooperativa de Ensino Superior CRL
ls-type:: annotation
hl-page:: 1
hl-color:: green
id:: 63dcd5cd-b585-4a32-99e0-11c60aaf9524
- Municipio Da Maia
ls-type:: annotation
hl-page:: 1
hl-color:: green
id:: 63dcd5d2-8b52-4ff3-a7b2-fe8e807f5fe2
- Processing information on environmental parameters, such as air quality, pollution, traffic congestion, etc
ls-type:: annotation
hl-page:: 14
hl-color:: green
id:: 63f8c612-c14b-447f-9ad6-69f0b47bfabd