Sinopsis
Modern Approaches of Data Mining discusses key concepts, theories, standards, methodologies, trends, challenges, and applications of data mining (DM) and knowledge discovery in databases (KDD) with the aim of uncovering the hidden patterns from a large gamut of data.
The DM techniques presented in this book have been inspired from the contributions of the diversified domain of researchers in the areas of artificial intelligence, pattern recognition, machine learning, database management systems, and decision sciences. The diverse field of real life applications and the potential initiative of leveraging these tools, techniques, and concepts against the data at hand to identify problems have been focused extensively with examples. Moreover, this book presents precise algorithmic descriptions of methods, including classical methods and their variants.In addition the recently developed novel methods along with their hybridization are also included. The concepts of web data mining is illustrated in a simple manner for easy understandability of the readers. Finally, this book gives in-depth descriptions of data mining applications in multiple-discipline including Intrusion detection.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.
"Sobre este título" puede pertenecer a otra edición de este libro.
