Uncle Scrooge decides to have Armstrong the robot replace his butler, and discovers that a major fault lies right under his money bin.

An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.

New York Times Bestseller A luminous companion to the phenomenal bestseller Astrophysics for People in a Hurry. Astrophysicist Neil deGrasse Tyson has attracted one of the world’s largest online followings with his fascinating, widely accessible insights into science and our universe. Now, Tyson invites us to go behind the scenes of his public fame by revealing his correspondence with people across the globe who have sought him out in search of answers. In this hand-picked collection of 101 letters, Tyson draws upon cosmic perspectives to address a vast array of questions about science, faith, philosophy, life, and of course, Pluto. His succinct, opinionated, passionate, and often funny responses reflect his popularity and standing as a leading educator. Tyson’s 2017 bestseller Astrophysics for People in a Hurry offered more than one million readers an insightful and accessible understanding of the universe. Tyson’s most candid and heartfelt writing yet, Letters from an Astrophysicist introduces us to a newly personal dimension of Tyson’s quest to explore our place in the cosmos.

Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.