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Open challenges for data stream mining research
2014
SIGKDD Explorations
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, what he learned as a chief Scientist of Verizon, Knowledge Discovery, Privacy Issues, and more. ...
Existing solutions are based on "best practices", i.e., the systems' decisions are knowledge-driven and/or data-driven. ...
Acknowledgments We would like to thank the participants of the RealStream2013 workshop at ECMLPKDD2013 in Prague, and in particular Bernhard Pfahringer and George Forman, for suggestions and discussions ...
doi:10.1145/2674026.2674028
fatcat:y3bozzeohveibgxb5wmiwfcogm
Temporal models for mining, ranking and recommendation in the Web
[article]
2020
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Due to their first-hand, diverse and evolution-aware reflection of nearly all areas of life, heterogeneous temporal datasets i.e., the Web, collaborative knowledge bases and social networks have been emerged ...
Specifically, we make the following contributions in this thesis: (1) Query recommendation and document ranking in the Web - we address the issues for suggesting entity-centric queries and ranking effectiveness ...
The results are used to debunk rumors in an ensemble fashion. • Based on the credibility model we develop a novel and effective cascaded model for rumor classification. ...
doi:10.15488/9750
fatcat:uhux2zktyfe6xbudhgzeuxidoy
Network Science – Applications in Technology, Business and Social Media
2018
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At the core of this dissertation is the technological perspective, centered on an analysis of the structure and robustness of the Internet network using the mathematical-methodical aspect of graph theory ...
The focus lies on the understanding and prediction of user behavior in the e-commerce context utilizing methods of predictive modeling. ...
Acknowledgements We would like to thank Sarah Mittelstaedt and Maria Herrmann, Master students at the University of Potsdam, for their support with this research. ...
doi:10.18452/19216
fatcat:752pyc6n2jenvh746pp2jom6ny
A Topic is Not a Theme: Towards a Contextualised Approach to Topic Modelling
2022
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Given such shortcomings, this thesis addresses the theoretical and methodological practices and empirical aspects of topic modelling to identify opportunities to improve the development and application ...
There is a disconnect between an understanding of the processes of machine learning at a technical level and the societal impact of these technologies. ...
This project has been reviewed and approved by the Monash University Human Research Committee (Project ID: 18167), subject to abidance with legislated data use and protection protocols. ...
doi:10.26180/20280312
fatcat:uib2xvkuxnfcngei352y56kvme