Recent Advances in Soft Computing and Data Mining

This book unfolds ways to transform data into innovative solutions perceived as new remarkable and meaningful value. It offers practical views of the concepts and techniques readers need to get the most out of their large-scale research and data mining projects. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad spectrum, an interdisciplinary field of scientific methods and processes. The book, Recent Advances in Soft Computing and Data Mining, delivers sufficient knowledge to tackle a wide range of issues seen in complex systems. This is done by exploring a vast combination of practices and applications by incorporating these two domains. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must choose the best design to approach the problemwith the most efficient tools and techniques. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must understand the design choice and options of these approaches, thus to better appreciate the concepts, tools, and techniques used.

Contenu

Table of Contents: I: Background Fundamentals for Design and Analysis of Asynchronous State Machines / Introduction and Background / Simple FSM Design and Initialization / Detection and Elimination of Timing Defects in Asynchronous FSMs / Design of Single Transition Time Machines / Design of One-Hot Asynchronous FSMs / Design of Pulse Mode FSMs / Analysis of Asynchronous FSMs / II: Self-Timed Systems/ Programmable Sequencers, and Arbiters / Externally Asynchronous/Internally Clocked Systems / Cascadable Asynchronous Programmable Sequencers (CAPS) and Time-Shared System Design / Asynchronous One-Hot Programmable Sequencer Systems / Arbiter Modules