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Search Results (5)
  • Open Access

    ARTICLE

    Impact of Data Quality on Question Answering System Performances

    Rachid Karra*, Abdelali Lasfar

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 335-349, 2023, DOI:10.32604/iasc.2023.026695

    Abstract In contrast with the research of new models, little attention has been paid to the impact of low or high-quality data feeding a dialogue system. The present paper makes the first attempt to fill this gap by extending our previous work on question-answering (QA) systems by investigating the effect of misspelling on QA agents and how context changes can enhance the responses. Instead of using large language models trained on huge datasets, we propose a method that enhances the model's score by modifying only the quality and structure of the data feed to the model. It is important to identify… More >

  • Open Access

    ARTICLE

    Digital Continuity Guarantee Approach of Electronic Record Based on Data Quality Theory

    Yongjun Ren1, 2, Jian Qi1, Yaping Cheng2, Jin Wang3, *, Osama Alfarraj4

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1471-1483, 2020, DOI:10.32604/cmc.2020.06745

    Abstract Since the British National Archive put forward the concept of the digital continuity in 2007, several developed countries have worked out their digital continuity action plan. However, the technologies of the digital continuity guarantee are still lacked. At first, this paper analyzes the requirements of digital continuity guarantee for electronic record based on data quality theory, then points out the necessity of data quality guarantee for electronic record. Moreover, we convert the digital continuity guarantee of electronic record to ensure the consistency, completeness and timeliness of electronic record, and construct the first technology framework of the digital continuity guarantee for… More >

  • Open Access

    ARTICLE

    A Review of Data Cleaning Methods for Web Information System

    Jinlin Wang1, Xing Wang1, *, Yuchen Yang1, Hongli Zhang1, Binxing Fang1

    CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1053-1075, 2020, DOI:10.32604/cmc.2020.08675

    Abstract Web information system (WIS) is frequently-used and indispensable in daily social life. WIS provides information services in many scenarios, such as electronic commerce, communities, and edutainment. Data cleaning plays an essential role in various WIS scenarios to improve the quality of data service. In this paper, we present a review of the state-of-the-art methods for data cleaning in WIS. According to the characteristics of data cleaning, we extract the critical elements of WIS, such as interactive objects, application scenarios, and core technology, to classify the existing works. Then, after elaborating and analyzing each category, we summarize the descriptions and challenges… More >

  • Open Access

    ARTICLE

    Facts and Effects to be Considered when Validating 2D and 3D UD Composite Failure Conditions - experiences from participation in the World-Wide-Failure-Exercise

    R. G. Cuntze1

    Structural Durability & Health Monitoring, Vol.6, No.3&4, pp. 123-160, 2010, DOI:10.3970/sdhm.2010.006.123

    Abstract The paper deals with the validation of 2D and 3D failure conditions of unidirectional (UD) composites composed of endless fibres and thermoset matrices. The generation of these failure conditions is shortly described and then applied to test cases of the World-Wide-Failure-Exercises WWFE-I and II, organized by Qinetic in the past 20 years. The derivation of the conditions for the brittle fracture failure experiencing UD lamina material was based on the author's so-called Failure Mode Concept (FMC) which basically builds up on the hypotheses of Beltrami and Mohr-Coulomb. The generally applicable FMC is applied here to UD material. Essential topics of… More >

  • Open Access

    ARTICLE

    DPIF: A Framework for Distinguishing Unintentional Quality Problems From Potential Shilling Attacks

    Mohan Li1, Yanbin Sun1, *, Shen Su1, Zhihong Tian1, Yuhang Wang1, *, Xianzhi Wang2

    CMC-Computers, Materials & Continua, Vol.59, No.1, pp. 331-344, 2019, DOI:10.32604/cmc.2019.05379

    Abstract Maliciously manufactured user profiles are often generated in batch for shilling attacks. These profiles may bring in a lot of quality problems but not worthy to be repaired. Since repairing data always be expensive, we need to scrutinize the data and pick out the data that really deserves to be repaired. In this paper, we focus on how to distinguish the unintentional data quality problems from the batch generated fake users for shilling attacks. A two-steps framework named DPIF is proposed for the distinguishment. Based on the framework, the metrics of homology and suspicious degree are proposed. The homology can… More >

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