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Hybrid Intelligence for Social Networks (Hardcover, 1st ed. 2017): Hema Banati, Siddhartha Bhattacharyya, Ashish Mani, Mario... Hybrid Intelligence for Social Networks (Hardcover, 1st ed. 2017)
Hema Banati, Siddhartha Bhattacharyya, Ashish Mani, Mario Koeppen
R3,502 Discovery Miles 35 020 Ships in 12 - 17 working days

This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology.

Quantum Machine Learning (Hardcover): Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman,... Quantum Machine Learning (Hardcover)
Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, …
R3,764 Discovery Miles 37 640 Ships in 9 - 15 working days

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices.

Hybrid Intelligence for Social Networks (Paperback, Softcover reprint of the original 1st ed. 2017): Hema Banati, Siddhartha... Hybrid Intelligence for Social Networks (Paperback, Softcover reprint of the original 1st ed. 2017)
Hema Banati, Siddhartha Bhattacharyya, Ashish Mani, Mario Koeppen
R3,724 Discovery Miles 37 240 Ships in 10 - 15 working days

This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology.

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