Relevant bibliographies by topics / Classification – Books

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Classification – Books'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Classification – Books"

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Rosita, Yesy Diah, and Yanuarini Nur Sukmaningtyas. "LSTM Network and OCR Performance for Classification of Decimal Dewey Classification Code." Record and Library Journal 6, no. 1 (2020): 45. http://dx.doi.org/10.20473/rlj.v6-i1.2020.45-56.

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Background of the study: Giving book code by a librarian in accordance with the Decimal Dewey Classification system aims to facilitate the search for books on the shelf precisely and quickly. Purpose: The first step in giving code to determine the class of books is the principal division which has 10 classes.Method: This study proposed Optical Character Recognition to read the title text on the book cover, preprocessing the text, and classifying it by Long Short-Term Memory Neural Network. Findings: In general, a librarian labeled a book by reading the book title on the book cover and doing book class matching with the book guide of DDC. Automatically, the task requires time increasingly. We tried to classify the text without OCR and utilize OCR which functions to convert the text in images into text that is editable. BY the experimental result, the level of classification accuracy without utilizing OCR is higher than using OCR. Conclusion: The magnitude of the accuracy is 88.57% and 74.28% respectively. However, the participation of OCR in this classification is quite efficient enough to assist a beginner librarian to overcome this problem because the accuracy difference is less than 15%.
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Dmitrieva, T. P. "Features of book naming in classical and modern Russian literature." Issues of National Literature 13, no. 1 (2024): 30–36. http://dx.doi.org/10.25587/2782-6635-2024-1-30-36.

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The title is the most important element of every book, it attracts the reader's attention and creates a first impression. The reader first pays attention to the title, so the title should be catchy, clearly convey the idea and content of the book. The purpose of the study is to identify and compare the characteristic features of book naming (titles) in classical and modern Russian literature. In the course of the work, the patterns of book naming, the opinions of famous scholars, and the classification of the titles of books of Russian classical literature were studied. The research method for classification was 84 titles of books from the classics. Further, to identify distinctive features, a classification of the titles of books of modern Russian literature was given. To confirm the idea 71 modern popular books were selected. The study uses the method of the situational analysis and the method of classification and generalization. The author comes to the main conclusion that classic writers approach book naming with special care, and modern authors use various experiments with book title techniques.
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Wang, Danrui, Bowen Tan, Muchen Wei, Xuhao Cui, and Xingru Huang. "Using natural language processing and machine learning algorithm for book categorization." Applied and Computational Engineering 2, no. 1 (2023): 856–67. http://dx.doi.org/10.54254/2755-2721/2/20220551.

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This research analyzed the relationship between multiple elements of a book's classifica-tion through natural language processing and machine learning. This paper used SVM and KNN to classify books according to the titles and author respectively. Also, books are categorized by summary through Decision Tree, Nave Bayes and BERT. In the end, this work compared effects of these methods. Our findings show that 1) books have different levels of categorical characteristics in various parts of the book 2) through combining the title, author, and summary of the book, more accurate classification results were obtained 3) BERT achieved more accurate recognition compared to a variety of other algorithms used.
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Hadi, Asist instructor Enas Jasim. "Classifiying English Books By Using Association Rules." ALUSTATH JOURNAL FOR HUMAN AND SOCIAL SCIENCES 225, no. 3 (2018): 305–24. http://dx.doi.org/10.36473/ujhss.v225i3.215.

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In general, libraries have taken a special interest from various educational institutions due to the key role that libraries play in terms of enriching the scientific aspects with different knowledge resources. The role of libraries is significantly can be seen in the fast information delivery for the recipients. Hence, the indexing and classifying of library resources is very important task because it contributes in enhancing the libraries performance. The classification of books (putting the book in the right class) is not an easy task, especially when the books are written in English. This research presents a model for books classification by using Association Rules techniques. The first stage of the research involved distributing a questionnaire for people who are working in libraries. The purpose of the questionnaire was to identify the difficulties that come with English books classification. The results of the questionnaire proved that there were number of obstacles in terms of English books classification process. After that we have collected an English books dataset to be employed in our model. Then the model has been implemented successfully and tested by given the title of the book. The results of the research proved that the model can put the book into the right class with ratio of (76%) and the error rate was (24%). That means it is possible to develop computer-based systems to classify the library resources. The results of the research open the way toward developing more sophisticated techniques and methods which can improve the performance of classifying the books electronically in an efficient manner that serves the librarians and users as well.
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Luţan, Elena-Ruxandra, and Costin Bădică. "Emotion-Based Literature Book Classification Using Online Reviews." Electronics 11, no. 20 (2022): 3412. http://dx.doi.org/10.3390/electronics11203412.

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Reading is not only a recreational activity; it also shapes the emotional and cognitive competences of the reader. In this paper, we present a method and tools for the analysis of emotions extracted from online reviews of literature books. We implement a scraper to create a new experimental dataset of reviews gathered from Goodreads, a website dedicated to readers that contains a large database of books and readers’ reviews. We propose a system which extracts the emotions from the reviews and associates them with the reviewed book. Afterwards, this information can be used to find similarities between the books based on readers’ impressions. Lastly, we show the experimental setup, consisting of the user interface developed for the proposed system, together with the experimental results.
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Mulyani, Esti, Fachrul Pralienka Bani Muhamad, and Kurnia Adi Cahyanto. "Pengaruh N-Gram terhadap Klasifikasi Buku menggunakan Ekstraksi dan Seleksi Fitur pada Multinomial Naïve Bayes." JURNAL MEDIA INFORMATIKA BUDIDARMA 5, no. 1 (2021): 264. http://dx.doi.org/10.30865/mib.v5i1.2672.

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Libraries have the main task in the processing of library materials by classifying books according to certain ways. Dewey Decimal Classification (DDC) is the method most commonly used in the world to determine book classification (labeling) in libraries. The advantages of this DDC method are universal and more systematic. However, this method is less efficient considering the large number of books that must be classified in a library, as well as labeling that must follow label updates on the DDC. An automatic classification system will be the perfect solution to this problem. Automatic classification can be done by applying the text mining method. In this study, searching for words in the book title was carried out with N-Gram (Unigram, Bigram, Trigram) as a feature generation. The features that have been raised are then selected for features. The process of book title classification is carried out using the Naïve Bayes Multinomial algorithm. This study examines the effect of Unigram, Bigram, Trigram on the classification of book titles using the feature extraction and selection feature on Multinomial Naïve Bayes algorithm. The test results show Unigram has the highest accuracy value of 74.4%.
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Cahyani, Salsabila Nida, and Galuh Wilujeng Saraswati. "IMPLEMENTATION OF SUPPORT VECTOR MACHINE METHOD IN CLASSIFYING SCHOOL LIBRARY BOOKS WITH COMBINATION OF TF-IDF AND WORD2VEC." Jurnal Teknik Informatika (Jutif) 4, no. 6 (2023): 1555–66. http://dx.doi.org/10.52436/1.jutif.2023.4.6.1536.

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The development of technology in education is integral to enhancing its quality, such as implementing information technology in school libraries. Searching for books in school libraries is time-consuming due to conventional book classification, lacking organization based on classifications. Therefore, implementing information technology in school libraries is crucial to improve library management effectiveness. An innovative solution optimizing library management involves leveraging artificial intelligence, particularly machine learning. In applying machine learning to library book classification, Support Vector Machine acts as an algorithm understanding patterns and characteristics of book titles, categorizing them into Dewey Decimal Classification (DDC). The dataset comprises 10 classes aligned with DDC. Random data collection follows an 80:20 scale for training and testing data. Data preprocessing is an initial research stage, addressing imbalanced data through oversampling. Testing the SVM algorithm with a linear kernel and C = 1 parameter is conducted three times using different feature extraction methods: TF-IDF alone, Word2Vec alone, and a combination of TF-IDF and Word2Vec. Model performance evaluation employs K-Fold Cross-Validation. After the three objective tests, the most accurate book classification results were obtained using a combination of TF-IDF and Word2Vec feature extraction. It's concluded that SVM's book classification method can be applied, yielding the highest accuracy of 73% with the TF-IDF and Word2Vec feature extraction combination. This outperforms other feature extraction methods, with precision at 83%, recall at 72%, and an F1-Score of 76%.
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Ng, Ashton. "Bibliophilia: the Passion of Ming Dynasty Private Book Collectors." Ming Qing Yanjiu 24, no. 2 (2020): 279–300. http://dx.doi.org/10.1163/24684791-12340051.

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Abstract In the Ming dynasty (1368–1644), book collecting evolved from an elite pastime into a widespread obsession. ‘Bibliophilia’—the passionate love for books—drove many book collectors to exhaust their fortunes or even trade their concubines for books. As books became indispensable towards gaining respectability in Chinese society, scholars, merchants, and landowners ensured that their residences were thoroughly infused with the prestigious “fragrance of books”. Some literati even regarded book collecting as a man’s most important undertaking in life. Ming private book collectors broke away from tradition and made their private collections available for others to view, exchange, or copy, greatly promoting the circulation of books. Through their incredible attention to the collection, classification, storage, and proofreading of books, Ming bibliophiles contributed enormously to the preservation and transmission of Chinese culture.
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Dimitriadis, Dimitris, Sofia Zapounidou, and Grigorios Tsoumakas. "Semantic Indexing of 19th-Century Greek Literature Using 21st-Century Linguistic Resources." Sustainability 13, no. 16 (2021): 8878. http://dx.doi.org/10.3390/su13168878.

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Manual classification of works of literature with genre/form concepts is a time-consuming task requiring domain expertise. Building automated systems based on language understanding can help humans to achieve this work faster and more consistently. Towards this direction, we present a case study on automatic classification of Greek literature books of the 19th century. The main challenges in this problem are the limited number of literature books and resources of that age and the quality of the source text. We propose an automated classification system based on the Bidirectional Encoder Representations from Transformers (BERT) model trained on books from the 20th and 21st century. We also dealt with BERT’s constraint on the maximum sequence length of the input, leveraging the TextRank algorithm to construct representative sentences or phrases from each book. The results show that BERT trained on recent literature books correctly classifies most of the books of the 19th century despite the disparity between the two collections. Additionally, the TextRank algorithm improves the performance of BERT.
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Li, Yuanyuan. "Research on Modern Book Packaging Design under Aesthetic Evaluation Based on Deep Learning Model." Discrete Dynamics in Nature and Society 2021 (November 8, 2021): 1–9. http://dx.doi.org/10.1155/2021/8214200.

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The development of information technology has led to the rapid development of modern book packaging design. Book packaging design is different from painting. It is a kind of design process that combines artistry and practicality and has double characteristics. With the continuous progress of society, people’s requirements for book packaging design have become higher and higher, and modern book packaging design has become an important topic in the field of art design. To this end, this paper introduces the machine learning algorithms used in this paper, including the AdaBoost algorithm and the SVR algorithm. Specifically, it includes the principles and specific implementation steps for AdaBoost classification algorithm and SVR regression algorithm, as well as evaluation indexes of AdaBoost classification and SVR regression analysis. Realization of physical books reflects artistry, creativity, professionalism, popularity, and vitality of books in the packaging and design of books in the electronic information era. The stimulation effect of this paper starts from packaging design, inspection mechanism, and brand psychology to get the superior design in modern book packaging design.
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Dissertations / Theses on the topic "Classification – Books"

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Reinaudo, Alice. "Hierarchical text classification of fiction books : With Thema subject categories." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154469.

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Categorizing books and literature of any genre and subject area is a vital task for publishers which seek to distribute their books to the appropriate audiences. It is common that different countries use different subject categorization schemes, which makes international book trading more difficult due to the need to categorize books from scratch once they reach another country. A solution to this problem has been proposed in the form of an international standard called Thema, which encompasses thousands of hierarchical subject categories. However, because this scheme is quite recent, many books published before its creation are yet to be assigned subject categories. It also is often the case that even recent books are not categorized. In this work, methods for automatic categorization of books are investigated, based on multinomial Naive Bayes and Facebook's classifier fastText. The results show some amount of promise for both classifiers, but overall, due to data imbalance and a very long training time that made it difficult to use more data, it is not possible to determine with certainty which classifier actually is best.
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Nasser, Sara. "Fuzzy methods for meta-genome sequence classification and assembly." abstract and full text PDF (free order & download UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3307706.

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Maida, Denise Martello. "The classification of muscle dysmorphia." View full text, 2003.

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Burger, Dominique, and Lilian Genaro Motti. "Adapting diagrams for DAISY books." Deutsche Zentralbibliothek für Blinde Leipzig (DZB), 2010. https://slub.qucosa.de/id/qucosa%3A1174.

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Looking for the best way to publish accessible graphics, this presentation gives some information about how to deal with non-textual contents when adapting documents for DAISY books. It is based on a study conducted by Braillenet for enriching the Helene’s digital library with technical contents. By analysing publishing guidelines, transcribers’ work in specialized centres and main relief printing formats, this work presents thoughts on how to analyse a graphical content, how to produce vectorial images, the main steps for preparing digital image files that could be downloaded and printed, how to index these files into the DAISY book, and finally make them accessible.
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Ambardekar, Amol A. "Efficient vehicle tracking and classification for an automated traffic surveillance system." abstract and full text PDF (free order & download UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1451111.

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Lamla, Michael H. "Musical Books of Patterns in Seventeenth-Century Italy." Bärenreiter Verlag, 2000. https://slub.qucosa.de/id/qucosa%3A36701.

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Pönisch, Jens. "E-Books selbst gebaut." Universitätsbibliothek Chemnitz, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-61971.

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Eberius, Wolfram, and Alexander Haffner. "Multimodal Enhancements and Distribution of DAISY-Books." Deutsche Zentralbibliothek für Blinde Leipzig (DZB), 2010. https://slub.qucosa.de/id/qucosa%3A1140.

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An increasing demand for providing accessible content to widely differentiated target groups calls for a universal eBook standard combined with a flexible user interface. For this purpose, we enhanced the current DAISY standard to serve the blind and visually handicapped as well as deaf, hearing impaired, dyslexic and elderly users. In addition to supporting sign language videos and alternatives in simplified language, we introduced videos with media enrichments as a primary source. Additionally a personalizable web player, based on the Adobe Flex Framework, allows real-time streaming and local playback of original and newly developed multimedia DAISY books. Furthermore, the player supports multimodal input such as gesture and speech recognition to facilitate use by physically handicapped people.
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Schmidt, Gerald. "Producing DAISY talking books without manual intervention." Deutsche Zentralbibliothek für Blinde Leipzig (DZB), 2010. https://slub.qucosa.de/id/qucosa%3A155.

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Is it possible to produce DAISY talking books of acceptable quality without manually adjusting the reading order, inserting page numbers, fine-tuning lexicons, and so on? This question is especially urgent with regard to our open educational resources published on the OpenLearn website. This presentation recounts our experiences of a fully automated production process for DAISY talking books using only open source tools.
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Machmutow, Maja. "Die Buchkrise im anglophonen Afrika seit Mitte der 1980er Jahre: ein Drei-Länder-Vergleich." Universität Leipzig, 2003. https://ul.qucosa.de/id/qucosa%3A33564.

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This volume discusses the 'book crisis' in anglophone Africa, paying particular attention to Kenya, Nigeria and Zimbabwe. It reviews the history of publishing, economic and cultural aspects of the crisis, its impact on authors and the nature of the readership..<br>Dieser Band behandelt die 'Buch-Krise' im englischsprachigen Afrika mit besonderem Bezug auf Kenia, Nigeria und Simbabwe. Er betrachtet die Geschichte der Verlagswesens, der Wirtschaft und der kulturellen Aspekte der Krise, ihre Auswirkung auf Autoren und die Besonderheiten der Leser.
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Books on the topic "Classification – Books"

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R, Ranganathan S. Colon classification. 6th ed. Ess Ess Publications, 2007.

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R, Ranganathan S. Colon classification. 7th ed. Sarada Ranganathan Endowment for Library Science, 1987.

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Library of Congress. Office for Subject Cataloging Policy. Classification. 5th ed. Library of Congress, 1992.

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Library of Congress. Cataloging Policy and Support Office. Classification. Library of Congress, 1993.

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R, Ranganathan S. Philosophy of Library Classification. Ess Ess Publications, 2006.

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Library of Congress. Office for Subject Cataloging Policy., ed. LC classification outline. 7th ed. Cataloging Distribution Service, Library of Congress, 2003.

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Hunter, Eric J. Classification made simple: An introduction to knowledge organisation and information retrieval. 3rd ed. Ashgate, 2009.

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Library of Congress. Cataloging Policy and Support Office. LC classification outline. 7th ed. Cataloging Distribution Service, Library of Congress, 2003.

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Marcella, Rita. A new manual of classification. Gower, 1994.

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Kao, Mary Liu. Cataloging and classification for library technicians. 2nd ed. Haworth Press, 2001.

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Book chapters on the topic "Classification – Books"

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Savage, Ernest A. "2. Home Reading Books in Retirement." In Manual of Book Classification and Display. Routledge, 2021. http://dx.doi.org/10.4324/9781003227991-10.

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Soratur, SH. "Classification." In Essentials of Prosthodontics. Jaypee Brothers Medical Publishers (P) Ltd., 2006. http://dx.doi.org/10.5005/jp/books/10295_17.

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Mishra, Radhe, and Joginder Kumar. "Classification." In IAL Textbook of Leprosy. Jaypee Brothers Medical Publishers (P) Ltd., 2010. http://dx.doi.org/10.5005/jp/books/11431_11.

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Amlani, Girish. "Classification." In Art and Science of Cleft Lip and Cleft Palate Repair. Jaypee Brothers Medical Publishers (P) Ltd., 2018. http://dx.doi.org/10.5005/jp/books/13096_6.

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Punshi, SK. "Classification." In A Handbook of Vitiligo and Colour Atlas. Jaypee Brothers Medical Publishers (P) Ltd., 2003. http://dx.doi.org/10.5005/jp/books/10015_5.

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Prasad, PVS. "Classification." In All about Leprosy. Jaypee Brothers Medical Publishers (P) Ltd., 2005. http://dx.doi.org/10.5005/jp/books/10037_6.

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KN, Vykuntaraju. "Classification." In Cerebral Palsy and Early Stimulation. Jaypee Brothers Medical Publishers (P) Ltd., 2014. http://dx.doi.org/10.5005/jp/books/12327_7.

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Misra, Radhey, and Joginder Kataria. "Classification." In IAL Textbook of Leprosy. Jaypee Brothers Medical Publishers (P) Ltd., 2017. http://dx.doi.org/10.5005/jp/books/12958_17.

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Salins, Onila. "Classification." In Nutrition Guide. Jaypee Brothers Medical Publishers (P) Ltd., 2004. http://dx.doi.org/10.5005/jp/books/10561_2.

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Lumbroso, Bruno, Marco Rispoli, and Maria Savastano. "Classification." In Diabetic Retinopathy. Jaypee Brothers Medical Publishers (P) Ltd., 2015. http://dx.doi.org/10.5005/jp/books/12596_4.

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Conference papers on the topic "Classification – Books"

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Lozano-Mejia, Diego Jesus, Enrique Paul Vega-Uribe, and Willy Ugarte. "Content-Based Image Classification for Sheet Music Books Recognition." In 2020 IEEE Engineering International Research Conference (EIRCON). IEEE, 2020. http://dx.doi.org/10.1109/eircon51178.2020.9254010.

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Altinpulluk, Hakan, and Mehmet Kesim. "THE CLASSIFICATION OF AUGMENTED REALITY BOOKS: A LITERATURE REVIEW." In International Technology, Education and Development Conference. IATED, 2016. http://dx.doi.org/10.21125/inted.2016.0200.

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Tsuji, Keita. "Books Cited in Wikipedia: Possibility to Use Their Nippon Decimal Classification Categories for Book Recommendation." In 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2016. http://dx.doi.org/10.1109/iiai-aai.2016.247.

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Alawwad, Hessa Abdulrahman. "A Domain Ontology for Modeling the Book of Purification in Islam." In 9th International Conference on Artificial Intelligence and Applications (AIAPP 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120905.

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This paper aims to fill the gap in major Islamic topics by developing an ontology for the Book of Purification in Islam. Many trusted books start with the Book of Purification as it is the key to prayer (Second Pillar after Shahadah, the profession of faith) and required in Islamic duties like performing Umrah and Hajj. The strategy for developing the ontology included six steps: (1) domain identification, (2) knowledge acquisition, (3) conceptualization, (4) classification, (5) integration and implementation, and (6) ontology generation. Examples of the built tables and classifications are included in this paper. Focus in this paper is given to the design and analysis phases where the technical implementing of the proposed ontology is not within this paper’s objectives. Though, we presented an initial implementation to illustrate the steps of our strategy. We make sure that this ontology or knowledge representation on the Book of Purification in Islam satisfy reusability, where the main attributes, concepts, and their relationships are defined and encoded. This formal encoding will be available for sharing and reusing.
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Ping, Wang, and Yan Tai-shan. "A method for books classification based on fuzzy mathematics theory." In 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet). IEEE, 2011. http://dx.doi.org/10.1109/cecnet.2011.5769017.

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Sayoud, Halim. "Automatic authorship classification of two ancient books: Quran and Hadith." In 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA). IEEE, 2014. http://dx.doi.org/10.1109/aiccsa.2014.7073263.

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Gupta, Shikha, Mohit Agarwal, and Satbir Jain. "Automated Genre Classification of Books Using Machine Learning and Natural Language Processing." In 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 2019. http://dx.doi.org/10.1109/confluence.2019.8776935.

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Gander, Lukas, Cornelia Lezuo, and Raphael Unterweger. "Rule based document understanding of historical books using a hybrid fuzzy classification system." In the 2011 Workshop. ACM Press, 2011. http://dx.doi.org/10.1145/2037342.2037358.

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Kovaleva, Elizaveta Andreevna. "DENGLISCH: ANGLICISMOS EN ALEMÁN." In Themed collection of papers from Foreign International Scientific Conference «Modern research on the way to a new scientific revolution». Part 1. by HNRI «National development» in cooperation with AFP (Puerto Cabezas, Nicaragua). November 2023. – Varadero (Cuba). Crossref, 2024. http://dx.doi.org/10.37539/231128.2023.46.88.032.

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The article discusses the role of loanwords from English in German speech. Based on the analysis of dictionaries, reference books, the author identifies the causes of borrowings, criteria for the classification of Anglicisms, analyzes the linguistic situation of our time.
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Chiavetta, Franco, Giosuè Lo Bosco, and Giovanni Pilato. "A Lexicon-based Approach for Sentiment Classification of Amazon Books Reviews in Italian Language." In 12th International Conference on Web Information Systems and Technologies. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005915301590170.

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Reports on the topic "Classification – Books"

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Panchenko, Liubov F., Tetiana A. Vakaliuk, and Kateryna V. Vlasenko. Augmented reality books: concepts, typology, tools. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4414.

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The article discussed the usage of augmented reality books in educational process. The object of research is augmented reality books. The subject of the study is the concepts and classification of augmented reality books; digital story making tools that emphasize child-teacher co-operation; difficulties in augmented reality using. The methods of research are: the analysis of publications about the issue; the analysis of digital tools capabilities; systematization and generalization of research information. In the article the facet classification for augmented books is proposed; the main facets are: reality- virtuality continuum, type of augmented materials, device types, type of interaction, spatial space of book, book’s category. Content for a module of a specialty course about augmented reality books for the system of professional training and retraining for educators in postgraduate education is discussed. Some samples of tasks for educators are presented: audio augmented book about world’s books monuments; analysis augmented reality examples in the textbook of the New Ukrainian school (subject name, topic, didactic tasks, quality of implementation, directions of expansion etc.), search and analysis augmented books according to the professional interests of the educators; discussion how augmented reality can help to improve student motivation with accent to attention, relevance, confidence and satisfaction; group work about design and creation a fragment of own textbook with augmented reality.
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Motel-Klingebiel, Andreas, and Gerhard Naegele. Exclusion and inequality in late working life in the political context of the EU. Linköping University Electronic Press, 2022. http://dx.doi.org/10.3384/9789179293215.

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European societies need to increase the participation in work over the life course to support the provision of qualified labour and to meet the challenges for social security systems under the condition of their ageing populations. One of the key ambitions is to extend people’s working lives and to postpone labour market exit and retirement where possible. This requires informed policies, and the research programme EIWO – ‘Exclusion and Inequality in Late Working Life: Evidence for Policy Innovation towards Inclusive Extended Work and Sustainable Working Conditions in Sweden and Europe’ – aims to push the boundaries of knowledge about late working life and the potential of its inclusive and equal prolongation via a theoretically driven, gender-sensitive combination of multi-level perspectives. EIWO takes a life course approach on exclusion and inequality by security of tenure, quality of work, workplaces, and their consequences. It identifies life course policies, promoting lifelong learning processes and flexible adaptation to prolong working lives and to avoid increased exclusion and inequality. Moreover, it provides evidence for policies to ensure both individual, company and societal benefits from longer lives. To do so, EIWO orientates its analyses systematically to the macro-political contexts at the European Union level and to the policy goals expressed in the respective official statements, reports and plans. This report systematizes this ambitious approach. Relevant documents such as reports, green books and other publications of the European Commission (EC), the European Parliament (EP), the Organisation for Economic Co-operation and Development (OECD), as well as those of social partners and research institutions, have been systematically scanned and evaluated. In addition, relevant decisions of European summits have been considered. The selection of documents claims completeness regarding relevant and generally available publication, while relevance is defined from the point of view of EIWO’s interests. It is the aim of this report to provide a sound knowledge base for EIWO’s analyses and impact strategies and to contribute to the emerging research on the connection between population ageing and the European policies towards productivity, inclusiveness, equity, resilience and sustainability. This report aims to answer the following questions: How are EIWO’s conceptual classification and programme objectives reflected in the European Union’s policy programming? How can EIWO’s analyses and impact benefit from a reference to current EU policy considerations, and how does this focus support the outline of policy options and the formulating of possible proposals to Swedish and European stakeholders? The present report was written during early 2022; analyses were finalized in February 2022 and represent the status until this date.
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