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1. |
Record Nr. |
UNISA996387610903316 |
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Autore |
Balnaves Henry, Sir, <d. 1579.> |
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Titolo |
The confession of faith [[electronic resource] ] : contending how the troubled man should seeke refuge at his God, thereto led by faith: with the declaratio[n] of the article of iustification at length. ... Compiled by M. Henry Balnaues of Halhill, & one of the Lords of session, and Counsell of Scotland, being as prisoner within the old pallaice of Roane: in the yeare of our Lord. 1548. Direct to his faithfull brethren, being in like trouble or more . |
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Pubbl/distr/stampa |
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Imprinted at Edinburgh, : By Thomas Vautrollier, 1584 |
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Descrizione fisica |
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Altri autori (Persone) |
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KnoxJohn <ca. 1514-1572.> |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Edited by John Knox. |
Reproduction of the original in the British Library. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910483681703321 |
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Titolo |
Advances in Knowledge Discovery and Management : Volume 8 / / edited by Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XVIII, 183 p. 75 illus., 33 illus. in color.) |
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Collana |
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Studies in Computational Intelligence, , 1860-949X ; ; 834 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Computational Intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Part I: Clustering -- Chapter 1. Model based co-clustering of mixed numerical and binary data -- Chapter 2. Co-clustering based exploratory analysis of mixed-type data tables -- Part II: Textual Data -- Chapter 3. Automatically selecting complementary vector representations for semantic textual similarity, etc. |
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Sommario/riassunto |
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This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC’2017 & EGC’2018. The EGC conference cycle was founded by the International French-speaking EGC society (“Extraction et Gestion des Connaissances”) in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here |
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will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike. |
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