Information Liberation Knowledge Discovery In Uncertain Datasets
DOWNLOAD
Download Information Liberation Knowledge Discovery In Uncertain Datasets PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Information Liberation Knowledge Discovery In Uncertain Datasets book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Information Liberation Knowledge Discovery In Uncertain Datasets
DOWNLOAD
Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-11
Information Liberation Knowledge Discovery In Uncertain Datasets written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Science categories.
In the realm of data mining and knowledge discovery, uncertainty is an ever-present challenge, affecting the accuracy and reliability of extracted insights. Information Liberation: Knowledge Discovery in Uncertain Datasets stands as a comprehensive guide to navigating this complex terrain, empowering readers with the tools and techniques to uncover hidden knowledge from uncertain data. Delving into the depths of data mining techniques, this book unravels the intricacies of supervised and unsupervised learning, reinforcement learning, and ensemble learning algorithms, all tailored to tackle the unique challenges of uncertain data. Moving beyond algorithms, it explores the frontiers of knowledge discovery in uncertain environments, revealing the potential of rough set theory, fuzzy set theory, Bayesian networks, and Dempster-Shafer theory for extracting meaningful insights from data marred by uncertainty. Real-world applications come to life as the book examines the intersection of uncertainty management and data warehousing, shedding light on data warehouse design, query processing and optimization, business intelligence, and data quality management in the presence of uncertainty. Venturing into the realm of complex systems, it unveils the intricacies of uncertainty modeling and propagation, providing a roadmap for understanding and quantifying uncertainty in complex data-driven systems. Statistical methods take center stage, as the book delves into probability theory, statistical inference, hypothesis testing, confidence intervals, regression analysis, forecasting, and time series analysis, adapted to handle the nuances of uncertain data. Soft computing techniques also come into focus, with detailed exploration of neural networks, fuzzy logic, evolutionary computation, and swarm intelligence for uncertain data processing. With a keen eye on the future, the book concludes by examining the emerging trends, challenges, and opportunities in uncertainty management and knowledge discovery, setting the stage for continued advancements in this dynamic field. Information Liberation: Knowledge Discovery in Uncertain Datasets is an invaluable resource for data scientists, researchers, and practitioners seeking to unlock the full potential of uncertain data, transforming it into actionable insights that drive informed decision-making. If you like this book, write a review!
Teaching As The Art Of Staging
DOWNLOAD
Author : Anthony Weston
language : en
Publisher: Taylor & Francis
Release Date : 2023-07-03
Teaching As The Art Of Staging written by Anthony Weston and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-03 with Education categories.
College teachers all too often still play Sage on the Stage – lecturing to rooms full of passive and supposedly absorbed students. The cutting-edge opposite is still supposed to be the Guide on the Side – facilitating wherever students themselves are already going, mentoring and coaching them along the way. But who says that these are the only – or the best – alternatives? This book advances another and sharply different model: the Impresario with a Scenario, a teacher who serves as class mobilizer, improviser, and energizer, staging dramatic, often unexpected and self-unfolding learning challenges and adventures with students.In this book, the author argues that to pose a single alternative to lecturing is profoundly limiting. In fact, he says there is no reason to have to choose between “student-centered” and “teacher-centered” pedagogies. The best ways to teach and learn are both. The same applies to the false choice between “active” students and “active” teachers – there can be more than enough activity for everyone. In particular, the author argues that we need a model in which the teacher is notably pro-active – a kind of activity for which certain theatrical metaphors seem especially appropriate.Picture a college teacher who regularly sets up classroom scenarios – challenging problems, unscripted dramas, role-plays, simulations, and the like – such that the scenario itself frames and drives most of the action and learning that follows. For teaching as staging, the primary work of the teacher is staging such scenarios. The basic goal is to put students into an urgently engaging and self-unfolding scenario, trusting them to carry it forward, while being prepared to join in as needed.This book offers a conceptual and practical framework for Teaching as Staging, grounding the approach with illustrative and sometimes provocative narrative from the literature as well as the author’s own practice.Teaching as the Art of Staging offers a visionary challenge to the prevailing models of pedagogy. The book presents a thoroughly practical model that opens up new possibilities for anyone interested in dramatic new directions in teaching and learning.