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Do I really have to teach reading? This is a question many teachers ask, wondering how they can add a new element to an overloaded curriculum. The answer is yes; if teachers want their students to learn complex new concepts in different disciplines, they need to help develop their students’ reading skills.In Do I Really Have to Teach Reading?: Content Comprehension, Grades 6-12 , author Cris Tovani takes on the challenge of helping students apply reading comprehension strategies in any subject. Tovani shows how teachers can expand on their content expertise to provide the instruction students need to understand specific technical and narrative texts. Inside the book you’ll find: Examples...
Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual la...
Mathematicians call it the Monty Hall Problem, and it is one of the most interesting mathematical brain teasers of recent times. Imagine that you face three doors, behind one of which is a prize. You choose one but do not open it. The host--call him Monty Hall--opens a different door, always choosing one he knows to be empty. Left with two doors, will you do better by sticking with your first choice, or by switching to the other remaining door? In this light-hearted yet ultimately serious book, Jason Rosenhouse explores the history of this fascinating puzzle. Using a minimum of mathematics (and none at all for much of the book), he shows how the problem has fascinated philosophers, psychologists, and many others, and examines the many variations that have appeared over the years. As Rosenhouse demonstrates, the Monty Hall Problem illuminates fundamental mathematical issues and has abiding philosophical implications. Perhaps most important, he writes, the problem opens a window on our cognitive difficulties in reasoning about uncertainty.
Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data. It is an excellent resource for students and professionals involved with gene or protein expression data in a variety of settings.
The 4,000 immigrants listed in this volume were Protestant refugees from Europe who came to South Carolina on the encouragement of an act passed by the General Assembly of the Colony on July 25, 1761, called the Bounty Act. Arranged chronologically, and taken verbatim from the original Council Journals, 1763-1773, the information given in the certificates and petitions for lands under the Bounty Act includes the date and the location and acres granted. In some cases the immigrants are listed with their age, country of origin, and name of the vessel on which they arrived. An excellent index provides references to more than 4,000 names in the text. This book is indispensable in attempting to locate an ancestor's place of settlement in South Carolina.
Apply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results Data Mining Methods and Models provides: * The latest techniques for uncovering hidden nuggets of information * The insight into how the data mining algorithms actually work * The hands-on experience of performing data mining on large data sets Data Mining Methods and Models: * Applies a "white box" methodology, emphasizing an understanding of the model structures underlying the softwareWalks the reader through the various algorithms and provides examples of the operation of the algorithms on actual large data sets, including a detailed case study, "Modeling Response to Direct-Mail Marketing" * Tests t...
CD-ROM contains lessons, activity sheets, application files, video clips, and Web links.
This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).