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This edited book is a collection of chapters invited and presented
by experts at 10th industry symposium held during 9-12 January 2020
in conjunction with 16th edition of ICDCIT. The book covers topics,
like machine learning and its applications, statistical learning,
neural network learning, knowledge acquisition and learning,
knowledge intensive learning, machine learning and information
retrieval, machine learning for web navigation and mining, learning
through mobile data mining, text and multimedia mining through
machine learning, distributed and parallel learning algorithms and
applications, feature extraction and classification, theories and
models for plausible reasoning, computational learning theory,
cognitive modelling and hybrid learning algorithms.
This edited book presents point of view and the work being
undertaken by active researchers in the domain of IOT and its
applications with societal impact. The book is useful to other
researchers for the understanding of the research domain and
different points of views expressed by the experts in their
contributed chapters. The contributions are from both industry and
academia; hence, it provides a rich source of both theoretical and
practical work going on in the research domain of IOT.
This edited book is a collection of chapters invited and presented
by experts at 10th industry symposium held during 9-12 January 2020
in conjunction with 16th edition of ICDCIT. The book covers topics,
like machine learning and its applications, statistical learning,
neural network learning, knowledge acquisition and learning,
knowledge intensive learning, machine learning and information
retrieval, machine learning for web navigation and mining, learning
through mobile data mining, text and multimedia mining through
machine learning, distributed and parallel learning algorithms and
applications, feature extraction and classification, theories and
models for plausible reasoning, computational learning theory,
cognitive modelling and hybrid learning algorithms.
This edited book presents point of view and the work being
undertaken by active researchers in the domain of IOT and its
applications with societal impact. The book is useful to other
researchers for the understanding of the research domain and
different points of views expressed by the experts in their
contributed chapters. The contributions are from both industry and
academia; hence, it provides a rich source of both theoretical and
practical work going on in the research domain of IOT.
This book presents a variety of techniques designed to enhance and
empower multi-disciplinary and multi-institutional machine learning
research in healthcare informatics. It is intended to provide a
unique compendium of current and emerging machine learning
paradigms for healthcare informatics, reflecting the diversity,
complexity, and depth and breadth of this multi-disciplinary area.
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