Ditemukan 8 dokumen yang sesuai dengan query
T.M. Rikza Abdy
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Stemming merupakan salah satu bagian penting dalam proses penilaian esai secara otomatis. Stemming merupakan proses transformasi suatu kata-kata tertentu menjadi kata dasarnya. Salah satu algoritma stemming yang ada adalah dengan menggunakan persamaan kata, dimana semua kata yang berimbuhan dan istilah yang berbeda untuk satu kata bermakna sama dapat disetarakan bobotnya. Untuk itu proses stemming menggunakan persamaan kata ini akan diimplementasikan pada sistem penilai esai otomatis Simple-O berbasis Generalized Latent Semantic Analysis (GLSA) yang bertujuan untuk ...
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Depok: Fakultas Teknik Universitas Indonesia, 2013
S47509
UI - Skripsi Membership Universitas Indonesia Library
Aggarwal, Charu C., editor
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This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on text embedded with heterogeneous and multimedia data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases.
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New York: Springer, 2012
e20407655
eBooks Universitas Indonesia Library
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Big data analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise ...
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Waltham, MA: Elsevier, 2013
e20426807
eBooks Universitas Indonesia Library
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Data warehousing in the age of the big data will help you and your organization make the most of unstructured data with your existing data warehouse.
As big data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how big data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part ...
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Waltham, MA: Morgan Kaufmann, 2013
e20426924
eBooks Universitas Indonesia Library
Olson, David Louis
Boston: McGraw-Hill , 2007
650.1 OLS i
Buku Teks Universitas Indonesia Library
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RDF database systems is a cutting-edge guide that distills everything you need to know to effectively use or design an RDF database. This book starts with the basics of linked open data and covers the most recent research, practice, and technologies to help you leverage semantic technology. With an approach that combines technical detail with theoretical background, this book shows how to design and develop semantic web applications, data models, indexing and query processing solutions.
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Waltham, MA: Morgan Kaufmann, 2015
e20427683
eBooks Universitas Indonesia Library
Berman, Jules J.
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"Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find ...
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Amsterdam: Morgan Kaufmann , 2013
005.74 BER p
Buku Teks Universitas Indonesia Library
Manaswi, Navin Kumar
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Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with ...
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New York: Apress, 2018
005.133 MAN d
Buku Teks Universitas Indonesia Library
