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Teknologi Big Data : Pengantar dan Penerapan Teknologi Big Data di berbagai Bidang
Buku "Teknologi Big Data: Pengantar dan Penerapan di Berbagai Bidang" merangkum esensi teknologi Big Data dari awal hingga penerapannya dalam konteks kehidupan nyata. Melalui konsep dasar yang jelas seperti pengumpulan, ingest, dan penyimpanan data, pembaca diperkenalkan pada kerangka kerja Big Data yang penting untuk memahami kompleksitasnya. Setelah itu, buku ini menyajikan serangkaian studi kasus dan contoh aplikatif yang mencakup lingkungan, ekonomi, pendidikan, pemerintahan, transportasi, UMKM, industri, dan kesehatan, memberikan gambaran komprehensif tentang bagaimana teknologi Big Data merespon tantangan dan memperkaya solusi di berbagai bidang kehidupan. Dengan penekanan pada implementasi praktis dan pemahaman yang mendalam, buku ini tidak hanya menjadi panduan bermanfaat bagi pembaca yang ingin memahami Big Data, tetapi juga mengilhami untuk menjelajahi potensi inovatif teknologi ini dalam meningkatkan efisiensi dan menghasilkan dampak positif dalam masyarakat.
Advances in Digital Science
This book gathers selected papers that were submitted to the 2021 International Conference on Advances in Digital Science (ICADS 2021) that aims to make available the discussion and the publication of papers on all aspects of single and multi-disciplinary research on Conference topics (https://ics.events/icads-2021/). ICADS 2021 was held on February 19–21, 2021. An important characteristic feature of Conference is the short publication time and world-wide distribution. Written by respected researchers, the book covers a range of innovative topics related to: Advances in Digital Agriculture & Food Technology, Advances in Digital Economics, Advances in Digital Education, Advances in Public H...
Computing with Words in Information/Intelligent Systems 2
These two volumes consisting of Foundations and Applications provide the current status of theoretical and empirical developments in "computing with words". In philosophy, the twentieth century is said to be the century of language. This is mainly due to Wittgenstein who said: "The meaning of a word is its use in the language game". "The concept game is a concept with blurred edges". In the first phrase, "the language game" implies the everyday human activity with language, and in the latter, "game" simply implies an ordinary word. Thus, Wittgenstein precisely stated that a word is fuzzy in real life. Unfortunately this idea about a word was not accepted in the conventional science. We had to wait for Zadeh's fuzzy sets theory. Remembering Wittgenstein's statement, we should consider, on the one hand, the concept of "computing with words" from a philosophical point of view. It deeply relates to the everyday use of a word in which the meaning of a word is fuzzy in its nature.
Computational Intelligence
Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear and non-linear systems are discussed with examples. Key features: Covers all the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB® exercises and applications in each chapter Pr...
Assessing Student Outcomes
A discussion of assessment and the tools used in performance assessment. Includes bibliographical references.
Fuzzy Model Identification
Introduction; General overview; Fuzzy identification from a grey box modeling point of view; Clustering methods; Constructing fuzzy models by product space clustering; Identification of Takagi-Sugeno fuzzy models via clustering and Hough transform; Rapid prototyping of fuzzy models based on hierarchical clustering; Neural networks; Fuzzy identification using methods of intelligent data analysis; Identification of singleton fuzzy models via fuzzy hyperrectangular composite NN; Genetic algorithms; Identification of linguistic fuzzy models by means of genetic algorithms.; Optimization of fuzzy models by global numeric optimizaton; Artificial intelligence; Identification of linguistic fuzzy models based on learning.
