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检索条件"机构=Data and Knowledge Engineering Research Center"
195 条 记 录,以下是61-70 订阅
排序:
Modeling and Mining Ubiquitous Social Media  1
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丛书名: Lecture Notes in Computer Science
1000年
作者: Martin Atzmueller Alvin Chin Denis Helic Andreas Hotho
This book constitutes the joint thoroughly refereed post-proceedings of the Second International Workshop on Modeling Social Media, MSM 2011, held in Boston, MA, USA, in October 2011, and the Second International Work... 详细信息
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From knowledge Graph Development to Serving Industrial knowledge Automation:A Review  41
From Knowledge Graph Development to Serving Industrial Knowl...
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第41届中国控制会议
作者: Guangxuan Song Dongmei Fu Dawei Zhang Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical EngineeringUniversity of Science and Technology Beijing Beijing Engineering Research Center of Industrial Spectrum Imaging School of Automation and Electrical EngineeringUniversity of Science and Technology Beijing Shunde Graduate School of University of Science and Technology Beijing Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology Beijing National Materials Corrosion and Protection Data Center University of Science and Technology Beijing
knowledge is essential for the management,scheduling,and operation of all industrial *** automation refers to the automation of knowledge-based work,which is a disruptive technology of the *** in the era of big data,K... 详细信息
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Interval-Dismantling for Lattices
arXiv
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arXiv 2022年
作者: Felde, Maximilian Koyda, Maren Knowledge & Data Engineering Group University of Kassel Germany Interdisciplinary Research Center for Information System Design University of Kassel Germany
Dismantling allows for the removal of elements of a set, or in our case lattice, without disturbing the remaining structure. In this paper we have extended the notion of dismantling by single elements to the dismantli... 详细信息
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Attribute Exploration with Multiple Contradicting Partial Experts
arXiv
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arXiv 2022年
作者: Felde, Maximilian Stumme, Gerd Knowledge & Data Engineering Group University of Kassel Germany Interdisciplinary Research Center for Information System Design University of Kassel Germany
Attribute exploration is a method from Formal Concept Analysis (FCA) that helps a domain expert discover structural dependencies in knowledge domains which can be represented as formal contexts (cross tables of object... 详细信息
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Maximal Ordinal Two-Factorizations
arXiv
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arXiv 2023年
作者: Dürrschnabel, Dominik Stumme, Gerd Knowledge & Data Engineering Group University of Kassel Kassel Germany Interdisciplinary Research Center for Information System Design Kassel Germany
Given a formal context, an ordinal factor is a subset of its incidence relation that forms a chain in the concept lattice, i.e., a part of the dataset that corresponds to a linear order. To visualize the data in a for... 详细信息
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Relevant attributes in formal contexts
arXiv
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arXiv 2018年
作者: Hanika, Tom Koyda, Maren Stumme, Gerd Knowledge & Data Engineering Group University of Kassel Germany Interdisciplinary Research Center for Information System Design University of Kassel Germany
Computing conceptual structures, like formal concept lattices, is in the age of massive data sets a challenging task. There are various approaches to deal with this, e.g., random sampling, parallelization, or attribut... 详细信息
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The Birkhoff completion of finite lattices
arXiv
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arXiv 2024年
作者: Abdulla, Mohammad Hirth, Johannes Stumme, Gerd Knowledge & Data Engineering Group University of Kassel Germany Interdisciplinary Research Center for Information System Design University of Kassel Germany
We introduce the Birkhoff completion as the smallest distributive lattice in which a given finite lattice can be embedded as semi-lattice. We discuss its relationship to implicational theories, in particular to R. Wil... 详细信息
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Quantifying the conceptual error in dimensionality reduction
arXiv
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arXiv 2021年
作者: Hanika, Tom Hirth, Johannes Knowledge & Data Engineering Group University of Kassel Germany Interdisciplinary Research Center for Information System Design University of Kassel Germany
Dimension reduction of data sets is a standard problem in the realm of machine learning and knowledge reasoning. They affect patterns in and dependencies on data dimensions and ultimately influence any decision-making... 详细信息
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Exploring scale-measures of data sets
arXiv
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arXiv 2021年
作者: Hanika, Tom Hirth, Johannes Knowledge & Data Engineering Group University of Kassel Germany Interdisciplinary Research Center for Information System Design University of Kassel Germany
Measurement is a fundamental building block of numerous scientific models and their creation. This is in particular true for data driven science. Due to the high complexity and size of modern data sets, the necessity ... 详细信息
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Discovering Locally Maximal Bipartite Subgraphs
arXiv
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arXiv 2022年
作者: Dürrschnabel, Dominik Hanika, Tom Stumme, Gerd Knowledge & Data Engineering Group University of Kassel Kassel Germany Interdisciplinary Research Center for Information System Design Kassel Germany
Induced bipartite subgraphs of maximal vertex cardinality are an essential concept for the analysis of graphs. Yet, discovering them in large graphs is known to be computationally hard. Therefore, we consider in this ... 详细信息
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