Výsledky vyhledávání - "Knowledge and data engineering tools and techniques"

  1. 1

    Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model Autor Benkabou, Seif-Eddine, Benabdeslem, Khalid, Kraus, Vivien, Bourhis, Kilian, Canitia, Bruno

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Vydáno: Piscataway IEEE 01.11.2022
    “…Multivariate time series data are invasive in different domains, ranging from data center supervision and e-commerce data to financial transactions. This kind…”
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  2. 2

    The Influence of Digital Technologies on Knowledge Management in Engineering: A Systematic Literature Review Autor Yao, Yuxin, Patterson, Eann A., Taylor, Richard J.

    ISSN: 1041-4347, 1558-2191
    Vydáno: New York IEEE 01.02.2024
    “…Digital technologies are gaining widespread acceptance in engineering and offer opportunities for collating and curating knowledge during and beyond the life…”
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  3. 3

    Supervised and Traditional Term Weighting Methods for Automatic Text Categorization Autor Lan, Man, Tan, Chew Lim, Su, Jian, Lu, Yue

    ISSN: 0162-8828, 1939-3539
    Vydáno: Los Alamitos, CA IEEE 01.04.2009
    “…In vector space model (VSM), text representation is the task of transforming the content of a textual document into a vector in the term space so that the…”
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  4. 4

    On Modularity Clustering Autor Brandes, U., Delling, D., Gaertler, M., Gorke, R., Hoefer, M., Nikoloski, Z., Wagner, D.

    ISSN: 1041-4347, 1558-2191
    Vydáno: New York, NY IEEE 01.02.2008
    “…Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines,…”
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  5. 5

    RiMOM: A Dynamic Multistrategy Ontology Alignment Framework Autor Li, Juanzi, Tang, Jie, Li, Yi, Luo, Qiong

    ISSN: 1041-4347, 1558-2191
    Vydáno: New York, NY IEEE 01.08.2009
    “…Ontology alignment identifies semantically matching entities in different ontologies. Various ontology alignment strategies have been proposed; however, few…”
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  6. 6

    Toward Long-Term and Archivable Reproducibility Autor Akhlaghi, Mohammad, Infante-Sainz, Raul, Roukema, Boudewijn F., Khellat, Mohammadreza, Valls-Gabaud, David, Baena-Galle, Roberto, A. Barba, Lorena, Gesing, Sandra

    ISSN: 1521-9615, 1558-366X
    Vydáno: New York IEEE 01.05.2021
    Vydáno v Computing in science & engineering (01.05.2021)
    “…Analysis pipelines commonly use high-level technologies that are popular when created, but are unlikely to be readable, executable, or sustainable in the long…”
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  7. 7

    im2im: Automatically Converting In-Memory Image Representations using a Knowledge Graph Approach Autor Chen, Fei, Saha, Sunita, Schuler, Manuela, Slusallek, Philipp, Dahmen, Tim

    ISSN: 2475-1421, 2475-1421
    Vydáno: New York, NY, USA ACM 09.10.2025
    “…Image processing workflows typically consist of a series of different functions, each working with “image” inputs and outputs in an abstract sense. However,…”
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  8. 8

    VisExPreS: A Visual Interactive Toolkit for User-Driven Evaluations of Embeddings Autor Ghosh, Aindrila, Nashaat, Mona, Miller, James, Quader, Shaikh

    ISSN: 1077-2626, 1941-0506, 1941-0506
    Vydáno: United States IEEE 01.07.2022
    “…Although popularly used in big-data analytics, dimensionality reduction is a complex, black-box technique whose outcome is difficult to interpret and evaluate…”
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  9. 9

    Knowledge Guided Attention and Graph Convolutional Networks for Chemical-Disease Relation Extraction Autor Sun, Yi, Wang, Jian, Lin, Hongfei, Zhang, Yijia, Yang, Zhihao

    ISSN: 1545-5963, 1557-9964, 1557-9964
    Vydáno: United States IEEE 01.01.2023
    “…The automatic extraction of the chemical-disease relation (CDR) from the text becomes critical because it takes a lot of time and effort to extract valuable…”
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  10. 10

    Trinity: On Using Trinary Trees for Unsupervised Web Data Extraction Autor Sleiman, Hassan A., Corchuelo, Rafael

    ISSN: 1041-4347, 1558-2191
    Vydáno: New York IEEE 01.06.2014
    “…Web data extractors are used to extract data from web documents in order to feed automated processes. In this article, we propose a technique that works on two…”
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  11. 11

    A Unified Knowledge Model for Managing Smart City/IoT Platform Entities for Multitenant Scenarios Autor Bellini, Pierfrancesco, Bologna, Daniele, Nesi, Paolo, Pantaleo, Gianni

    ISSN: 2624-6511, 2624-6511
    Vydáno: Basel MDPI AG 01.10.2024
    Vydáno v Smart cities (Basel) (01.10.2024)
    “…Smart city/IoT frameworks are becoming more complex for the needs regarding multi-tenancy, data streams, real-time event-driven processing, data, and visual…”
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  12. 12

    Observing LOD: its knowledge domains and the varying behaviour of ontologies across them Autor Asprino, Luigi, Presutti, Valentina

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 01.01.2023
    Vydáno v IEEE access (01.01.2023)
    “…Linked Open Data (LOD) is the largest, collaborative, distributed, and publicly-accessible Knowledge Graph (KG) uniformly encoded in the Resource Description…”
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  13. 13

    Fuzzy Web Data Tables Integration Guided by an Ontological and Terminological Resource Autor Buche, P., Dibie-Barthelemy, J., Ibanescu, L., Soler, L.

    ISSN: 1041-4347
    Vydáno: IEEE 01.04.2013
    “…In this paper, we present the design of ONDINE system which allows the loading and the querying of a data warehouse opened on the Web, guided by an Ontological…”
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  14. 14

    Malevolent Activity Detection with Hypergraph-Based Models Autor Guzzo, Antonella, Rullo, Antonino, Sacca, Domenico, Piccolo, Antonio

    ISSN: 1041-4347, 1558-2191
    Vydáno: New York IEEE 01.05.2017
    “…We propose a hypergraph-based framework for modeling and detecting malevolent activities. The proposed model supports the specification of order-independent…”
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    A new complicated-knowledge representation approach based on knowledge meshes Autor YAN, Hong-Sen

    ISSN: 1041-4347, 1558-2191
    Vydáno: New York, NY IEEE 01.01.2006
    “…This paper presents a new complicated-knowledge representation method for the self-reconfiguration of complex systems such as complex software systems, complex…”
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  16. 16

    Investigative Knowledge Discovery for Combating Illicit Activities Autor Kejriwal, Mayank, Szekely, Pedro, Knoblock, Craig

    ISSN: 1541-1672
    Vydáno: IEEE 12.01.2018
    Vydáno v IEEE intelligent systems (12.01.2018)
    “…Developing scalable, semi-automatic approaches to derive insights from a domain-specific Web corpus is a longstanding research problem in the knowledge…”
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  17. 17

    Building and Exploiting EmotiNet, a Knowledge Base for Emotion Detection Based on the Appraisal Theory Model Autor Balahur, A., Hermida, J. M., Montoyo, A.

    ISSN: 1949-3045, 1949-3045
    Vydáno: IEEE 01.01.2012
    “…The task of automatically detecting emotion in text is challenging. This is due to the fact that most of the times, textual expressions of affect are not…”
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  18. 18

    A Supermodularity-Based Differential Privacy Preserving Algorithm for Data Anonymization Autor Fouad, Mohamed R., Elbassioni, Khaled, Bertino, Elisa

    ISSN: 1041-4347, 1558-2191
    Vydáno: New York IEEE 01.07.2014
    “…Maximizing data usage and minimizing privacy risk are two conflicting goals. Organizations always apply a set of transformations on their data before releasing…”
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  19. 19

    Entropy-Based Scheduling Policy for Cross Aggregate Ranking Workloads Autor Chengcheng Dai, Nutanong, Sarana, Chi-Yin Chow, Cheng, Reynold

    ISSN: 1939-1374, 2372-0204
    Vydáno: IEEE 01.05.2018
    “…Many data exploration applications require the ability to identify the top-k results according to a scoring function. We study a class of top-k ranking…”
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    Occurrence-Oriented Design Strategy for Developing Business Process Monitoring Systems Autor Dominguez, Eladio, Perez, Beatriz, Rubio, Angel L., Zapata, Maria A., Lavilla, Juan, Allue, Alberto

    ISSN: 1041-4347, 1558-2191
    Vydáno: New York IEEE 01.07.2014
    “…In a competitive market, business process improvement is a requirement for any organization. This improvement can only be achieved with the support of…”
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