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Due to advances in information science and technology in the last decades, we are passing through an era of information explosion and globalization, which has led to the problem of information overloading. At the same time, researches in different area are maturing and a race for knowledge has begun in which boundaries between different disciplines have narrowed. These days interdisciplinary research is very common and involves two fields embedded together to deal with the complexity and sheer quantum of information. This book examines different data-driven techniques for utilization of…mehr

Produktbeschreibung
Due to advances in information science and technology in the last decades, we are passing through an era of information explosion and globalization, which has led to the problem of information overloading. At the same time, researches in different area are maturing and a race for knowledge has begun in which boundaries between different disciplines have narrowed. These days interdisciplinary research is very common and involves two fields embedded together to deal with the complexity and sheer quantum of information. This book examines different data-driven techniques for utilization of available data to infer useful information about the state of the systems and processes. Several novel techniques such as Radial Basis based Nonlinear Feature Extraction, Modular Fuzzy Net and Self-Organizing Self-Clustering Network are proposed in this book. These techniques are amalgamation of several existing techniques and utilize their important features to facilitate proactive identification, detection and diagnosis of any abnormal situations.
Autorenporträt
Dr. Manish Kumar (Ph.D), Professore Associato, Dipartimento di Fisioterapia, Scuola di Scienze Mediche e Alleate, Università G D Goenka, Gurugram.Ha circa 12 anni di esperienza nell'insegnamento e nella clinica. Ha ricevuto diversi premi e riconoscimenti per il suo lavoro di ricerca e i suoi contributi accademici e ha al suo attivo numerose pubblicazioni.