Today, big data affects countless aspects of our daily lives. This book provides a comprehensive and cutti..."> Today, big data affects countless aspects of our daily lives. This book provides a comprehensive and cutti..."/>
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Advances in Big Data Analytics

Today, big data affects countless aspects of our daily lives. This book provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence. /divSince each aspect mentioned above concerns a specific domain of application, taken together, the algorithms, procedures, analysis and empirical studies presented here offer a general picture of big data developments. Accordingly, the book can not only serve as a textbook for graduates with a fundamental grasp of training in big data analytics, but can also show practitioners how to use the proposed techniques to deal with real-world big data problems.

Ketersediaan
#
Belum memasukkan lokasi Belum memasukkan lokasi
35443
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
35443
Penerbit
: Springer Nature.,
Deskripsi Fisik
728
Bahasa
ISBN/ISSN
9811636079
Klasifikasi
-
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
Theory, Algorithms and Practices
Info Detail Spesifik
-
Pernyataan Tanggungjawab
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Tidak tersedia versi lain

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