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  1. No Access

    Chapter and Conference Paper

    TRIC: A Triples Corrupter for Knowledge Graphs

    We study the problem of corrupting triples in Knowledge Graphs (KG) for the purpose of assisting anomaly detection and error detection techniques developed for KG quality enhancement. Our goal is to provide us...

    Asara Senaratne, Pouya Ghiasnezhad Omran in The Semantic Web: ESWC 2023 Satellite Even… (2023)

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    Book and Conference Proceedings

    Data Mining

    20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12–15, 2022, Proceedings

    Laurence A. F. Park, Heitor Murilo Gomes, Maryam Doborjeh in Communications in Computer and Information Science (2022)

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    Book and Conference Proceedings

    Data Mining

    19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings

    Prof. Yue Xu, Rosalind Wang, Anton Lord in Communications in Computer and Information Science (2021)

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    Book and Conference Proceedings

    Data Mining

    17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2–5, 2019, Proceedings

    Dr. Thuc D. Le, Dr. Kok-Leong Ong, Yanchang Zhao in Communications in Computer and Information Science (2019)

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    Book and Conference Proceedings

    Data Mining

    15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers

    Prof. Dr. Yee Ling Boo, Dr. David Stirling, Lianhua Chi in Communications in Computer and Information Science (2018)

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    Chapter

    Conclusion: What is Sincerity?

    This chapter concludes by reflecting on how the study of sincerity brings together linguistic, literary and emotional histories in productive new ways.

    Graham Williams in Sincerity in Medieval English Language and Literature (2018)

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    Living Reference Work Entry In depth

    Microfossils: Palynology

    Graham Williams, Robert Fensome, Merrell Miller in Encyclopedia of Petroleum Geoscience

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    Chapter

    Before Sincerity: Pagan Beliefs of Language and Emotion

    This chapter surveys evidence for pre- and transitionally Christian culture, and especially views toward language and its relationship to emotions, using Old Norse and Old English sources. After considering pa...

    Graham Williams in Sincerity in Medieval English Language and Literature (2018)

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    Chapter

    Sincerity in Contrition: From Confessions to Apologies

    This chapter traces the development of affective apologies expressing contrition (e.g. I am sorry) from their origins in Christian confession to the language of fifteenth-century familiar letters. Apologies were ...

    Graham Williams in Sincerity in Medieval English Language and Literature (2018)

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    Chapter

    Introduction: Sincerity, Language Change and Medieval Literature

    This chapter introduces sincerity at a conjunction of language history and the history of emotions. Sincerity is defined as an ideal that morally links inward affectivity with outward expression in a way that ...

    Graham Williams in Sincerity in Medieval English Language and Literature (2018)

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    Chapter

    God Who Knows the Heart: The Christianization of Language and Emotion

    This chapter documents the introduction of the Christian ‘God who knows the heart’, and shows how this affectively omniscient presence, reinforced through psalms, wisdom literature, saints’ lives and homilies,...

    Graham Williams in Sincerity in Medieval English Language and Literature (2018)

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    Chapter

    Sincerity in Love: From caritas to affectio maritalis

    This chapter documents the development of sincere love as evidenced in epistolary and literary texts. Romantic love in particular was originally introduced through contact with Anglo-Norman culture, and genres...

    Graham Williams in Sincerity in Medieval English Language and Literature (2018)

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    Chapter and Conference Paper

    Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data

    Imbalanced data presents a big challenge to random forests (RF). Over-sampling is a commonly used sampling method for imbalanced data, which increases the number of instances of minority class to balance the c...

    He Zhao, **aojun Chen, Tung Nguyen in Intelligence and Security Informatics (2016)

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    Article

    A personal appreciation of the career, thus far, of Professor Friedrich Kremer

    Graham Williams in Colloid and Polymer Science (2014)

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    Chapter and Conference Paper

    Ensemble Clustering of High Dimensional Data with FastMap Projection

    In this paper, we propose an ensemble clustering method for high dimensional data which uses FastMap projection to generate subspace component data sets. In comparison with popular random sampling and random p...

    Imran Khan, Joshua Zhexue Huang in Trends and Applications in Knowledge Disco… (2014)

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    Chapter and Conference Paper

    Extensions to Quantile Regression Forests for Very High-Dimensional Data

    This paper describes new extensions to the state-of-the-art regression random forests Quantile Regression Forests (QRF) for applications to high-dimensional data with thousands of features. We propose a new subsp...

    Nguyen Thanh Tung, Joshua Zhexue Huang in Advances in Knowledge Discovery and Data M… (2014)

  17. Article

    Special issue on behavior computing

    Longbing Cao, Philip S Yu, Hiroshi Motoda in Knowledge and Information Systems (2013)

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    Chapter and Conference Paper

    Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data

    Random forests are a popular classification method based on an ensemble of a single type of decision tree. In the literature, there are many different types of decision tree algorithms, including C4.5, CART an...

    Baoxun Xu, Joshua Zhexue Huang in Advances in Knowledge Discovery and Data M… (2012)

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    Article

    Lifespan theorem for constrained surface diffusion flows

    We consider closed immersed hypersurfaces in \({\mathbb R^{3}}\) and

    James McCoy, Glen Wheeler, Graham Williams in Mathematische Zeitschrift (2011)

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    Book

    Data Mining with Rattle and R

    The Art of Excavating Data for Knowledge Discovery

    Graham Williams in Use R (2011)

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