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  • |Title=22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining ...vite submission of papers describing innovative research on all aspects of knowledge discovery and data mining, ranging from theoretical foundations to novel mo
    2 KB (282 words) - 10:48, 8 February 2020
  • |Title=21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining ...vite submission of papers describing innovative research on all aspects of knowledge discovery and data mining, ranging from theoretical foundations to novel mo
    2 KB (270 words) - 10:49, 8 February 2020
  • |Title=1st conference on Language, Data and Knowledge ...NLP and machine learning methods as well as semantic technologies based on knowledge graphs
    6 KB (847 words) - 15:02, 8 December 2016
  • * connections between databases and knowledge representation * graph databases and (semantic) Web data
    4 KB (557 words) - 10:14, 15 May 2019
  • We have the vision, that ultimately researchers will work on a common knowledge base comprising comprehensive descriptions of their research, thus making r ...esearch fields can be performed in a semantic way resulting in a knowledge graph describing the individual research problems, approaches, implementations an
    2 KB (208 words) - 17:53, 11 November 2016
  • ...presenters, while offering participants an effective way to broaden their knowledge of the emerging research trends and to network with other researchers. ...areas (e.g., business intelligence, analytics, search, content management, knowledge management, recommendation systems, data integration, etc.).
    10 KB (1,424 words) - 09:54, 6 March 2020
  • * graph analytics * information gathering for supporting knowledge-intensive enterprises
    9 KB (1,190 words) - 10:12, 5 June 2019
  • * Data mining and knowledge discovery * Graph databases
    3 KB (421 words) - 20:37, 11 February 2021
  • ...s focus on structuring data to form machine-readable conceptual models and knowledge resources. Both fields have considerably impacted data analysis and represe - learning semantic similarity and encoding distances as knowledge graph
    4 KB (590 words) - 10:52, 16 July 2017
  • techniques help build knowledge graphs of human capital entities; Personalized Ontology mining for human capital knowledge graph construction
    7 KB (888 words) - 11:52, 8 August 2017
  • * Visual Data Analysis and Knowledge Discovery * Data Management and Knowledge Representation
    5 KB (615 words) - 10:58, 15 May 2020
  • brain and applying that knowledge to develop new and more effective forms of Link and graph mining
    6 KB (824 words) - 19:42, 29 October 2020
  • to transfer knowledge and technology to industrial applications to solve keynote speakers who are academia or practitioners to share their knowledge and
    4 KB (551 words) - 11:57, 8 August 2017
  • provide an excellent international forum for sharing knowledge and results in * International Journal on Applications of Graph Theory in Wireless Ad hoc
    4 KB (546 words) - 11:35, 8 August 2017
  • |Title=IJDKP 2017 : International Journal of Data Mining & Knowledge Management Process INTERNATIONAL JOURNAL OF DATA MINING & KNOWLEDGE MANAGEMENT PROCESS ( IJDKP )
    5 KB (689 words) - 13:34, 28 July 2017
  • - Data Mining and Knowledge Discovery Approaches - Graph and Context Models for Visualization
    4 KB (583 words) - 10:01, 3 September 2017
  • *Social Network Analysis and Graph Algorithms for the Web *Web Content Analysis, Semantics, and Knowledge
    12 KB (1,422 words) - 10:18, 5 October 2023
  • - Knowledge representation for biomedical knowledge bases - Emerging technologies in Semantic Web, e.g. JSON-LD, graph databases
    5 KB (718 words) - 10:02, 3 September 2017
  • - Knowledge Graph In JIST2017, we have a special track on Semantic Processing for Knowledge Graphs
    7 KB (903 words) - 13:23, 28 July 2017
  • * Semantic search, faceted search, and knowledge graphs * Knowledge acquisition and automatic construction of knowledge bases
    8 KB (1,069 words) - 08:17, 6 February 2020

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