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- ACSET Stream 1: Technology and Society: The Social and Societal Impact and Implications Submissions dealing with the following areas should submit under this stream:5 KB (702 words) - 10:02, 5 March 2013
- |Title=Empowering Communities with Big Data Technologies |Field=Big Data3 KB (412 words) - 08:53, 24 September 2016
- ...es change management, trend detection, model evolution, streaming data and stream reasoning, event processing, time-and space dependent models, contextual an ** Stream processing and stream reasoning8 KB (1,067 words) - 12:26, 7 July 2018
- * Data Warehousing, Data Mining, and Big Data * Stream and Sensor Databases4 KB (464 words) - 11:38, 4 September 2020
- - Cloud Computing and Big Data Analytics - Data Integration and Data Provenance12 KB (1,565 words) - 04:15, 5 August 2023
- |Field=data mining, network, mechanisms&methods Trends in mining/retrieving/handling data10 KB (1,305 words) - 00:29, 12 December 2020
- * Data Warehousing, Data Mining, and Big Data * Stream and Sensor Databases3 KB (340 words) - 11:27, 4 September 2020
- ...search, content management, knowledge management, recommendation systems, data integration, etc.). [BLINK] Benchmarking Linked Data10 KB (1,424 words) - 09:54, 6 March 2020
- * Data Warehousing, Data Mining, and Big Data * Stream and Sensor Databases3 KB (361 words) - 10:38, 4 September 2020
- Data and Network mining Data Stream Processing in Mobile/Sensor Networks5 KB (631 words) - 15:09, 10 April 2017
- ===Big and Smart Data and Artifical Intelligence=== *data science and digital transformation10 KB (1,309 words) - 10:29, 5 June 2019
- ===Scalable Web and Data Architectures and Infrastructures=== *Crawling, Caching and Querying Linked (Semantic) Data18 KB (2,394 words) - 16:28, 29 January 2018
- |Title=Web Stream Processing workshop 2017 |Field=Data Stream5 KB (668 words) - 12:57, 8 July 2017
- SEMANTiCS 2017 - The Linked Data Conference This year, SEMANTiCS features a special Data Science track, which is an6 KB (759 words) - 15:52, 5 December 2018
- |Title=3rd INNS Conference on Big Data and Deep Learning Researchers and colleagues who work in the area of big data and machine6 KB (824 words) - 19:42, 29 October 2020
- |Title=DMCS 2017 : DMCS - Data Mining for Cyber Security 2017 (collocated with IEEE ICDM'17) Data mining techniques that explore data in order to discover hidden patterns4 KB (626 words) - 09:30, 3 September 2017
- |Title=Workshop on Data Mining in Practice: Automation and Cost |Field=Data mining4 KB (589 words) - 14:05, 3 December 2020
- |Field=data mining Online Learning, Data Stream Mining, and Dynamic Data Mining2 KB (205 words) - 12:56, 3 September 2017
- ...2017 : Special Issue on Soft Computing Techniques and Applications on MM Data Analyzing Systems-- Springer Journal of Multimedia Tools and Applications Special Issue on Soft Computing Techniques and Applications on Multimedia Data4 KB (598 words) - 09:58, 21 August 2017
- ...h talks, tutorials, demonstrations, and workshops. It will cover issues in data management, database and information systems research, since they are the t ...listed below are intended to serve primarily as indicators of the kinds of data-centric subjects that are of interest to PVLDB – they do not represent an6 KB (826 words) - 09:45, 19 February 2021