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With more than 10,000 words hidden in a grid of 90,000 letters, Word Search 10K is the largest word search puzzle ever made!This book splits the massive puzzle into one hundred themed puzzles, each containing roughly one hundred words.To solve it, you'll have to find words from categories as diverse as boys' names, hair styles and accountancy.You'll visit London, Las Vegas and outer space.You'll encounter spiders, vampires and fictional horses.You'll be transported from ancient Egypt, through the world of dreams and to the end of days!For more information about the puzzle, please visit www.wordsearch10k.com
Demonstrate your skill with 35 challenging word searches that don t follow the rules. Sometimes the word will change direction, or need to be altered before it can be found. Some letters are missing altogether. Are you tough enough?"
WORD SEARCH PUZZLES AT THEIR BEST Have Fun While You Sharpen Your Mind! The Perfect Gift For Adults And Kids. Experience The Joy Of Classic Word Search Puzzles, Word Finder, Word Games, Word Game. ● Stimulating Puzzles ● Each Puzzle On Separate Page, Can Tear Out And Share With Others ● Easy To Read 16 Point Fonts ● 20 To 30 Words In Each Word List ● Colorful Word Lists That Match Each Word Puzzle ● Interesting & Fun Themes ● Medium Level Challenge: Not Too Easy And Not Too Hard ● An Appropriate Level Of Challenge For Everyone; Beginner Or Expert ● Will Keep Your Mind Healthy: Word Searches Are A Proven Method For Keeping The Mind Healthy And Help Combat Alzheimer's And Dementia ● 8.5" x 11" High Quality Paper
With the rise in data science development, we now have many remarkable techniques and tools to extend data analysis from numeric and categorical data to textual data. Sifting through the open-ended responses from a survey, for example, was an arduous process when performed by hand. Using a case study approach, this book was written for business analysts who wish to increase their skills in extracting answers for text data in order to support business decision making. Most of the exercises use Excel, today’s most common analysis tool, and R, a popular analytic computer environment. The techniques covered range from the most basic text analytics, such as key word analysis, to more sophisticated techniques, such as topic extraction and text similarity scoring. Companion files with numerous datasets are included for use with case studies and exercises. FEATURES: Organized by tool or technique, with the basic techniques presented first and the more sophisticated techniques presented later Uses Excel and R for datasets in case studies and exercises Features the CRISP-DM data mining standard with early chapters for conducting the preparatory steps in data mining Companion files with numerous datasets and figures from the text. The companion files are available online by emailing the publisher with proof of purchase at [email protected].
Prospect Research: A Primer for Growing Nonprofits, Second Edition is a detailed guide to expanding your donor base by implementing an advancement research plan. Written by a prospect researcher, this unique book provides you with the tips you need to find your next major gift donors. Novice and experienced researchers as well as fundraisers will appreciate this updated edition that focuses on prospect researching and the art of identifying and qualifying potential donors to nonprofit organizations. In addition to a detailed introduction to each step of prospect researching, the text includes sample forms and information on policies and procedures.
Responding to the needs of market researchers, business analysts, CI professionals, and other decision makers who understand online technology, Vibert provides a series of problem-driven, analytical frameworks to help them make better sense—and use—of the vast amounts of information now available and easily accessed on the Internet. Organizational decision makers, forced to understand complex competitive environments, have two important aids; analytical tools and information sources. To be truly effective, these tools must be used in concert. Vibert's book focuses on these tools and their usages. In doing so it provides ways for organizational decision makers to protect their own operations as they seek to gain better knowledge of their competitors. Analysts, market researchers, corporate trainers, CI professionals, and others in decision-making capacities, in industries enabled by the Internet, will see quickly how well the content of Vibert's book fits what they do day-to-day. Academics and other teachers will find that the book challenges the traditional case method style of teaching by showing how real-time analysis can be brought into the classroom, the corporate training suite, and other places where information and knowledge are transmitted. Vibert maintains that real-time teaching or training depends on the use of library resources—and the world's largest library is the Internet. Unfortunately, the net has grown so large so fast that stakeholders lack ways to organize the vast quantities of information available there. It is these ways, these tools and resources, that Vibert provides in his discussion of question-driven analytical frameworks, the core of his book.
This book provides a comprehensive presentation of a recently introduced framework, named "probabilistic indexing" (PrIx), for searching text in large collections of document images and other related applications. It fosters the development of new search engines for effective information retrieval from manuscripts which, however, lack the electronic text (transcripts) that would typically be required for such search and retrieval tasks. The book is structured into 11 chapters and three appendices. The first two chapters briefly outline the necessary fundamentals and state of the art in pattern recognition, statistical decision theory, and handwritten text recognition. Chapter 3 presents approaches for indexing (as opposed to spotting) each region of a handwritten text image which is likely to contain a word. Next, Chapter 4 describes models adopted for handwritten text in images, namely hidden Markov models, convolutional and recurrent neural networks and language models, and provides full details of weighted finite-state transducer (WFST) concepts and methods, needed in further chapters of the book. Chapter 5 explains the set of techniques and algorithms developed to generate image probabilistic indexes which allow for fast search and retrieval of textual information in the indexed images. Chapter 6 then presents experimental evaluations of the proposed framework and algorithms on different traditional benchmark datasets and compares them with other approaches, while Chapter 7 reviews the most popular keyword-spotting approaches. Chapter 8 explains how PrIx can support classical free-text search tools, while Chapter 9 presents new methods that use PrIx not only for searching, but also to deal with text analytics and other related natural language processing and information extraction tasks. Chapter 10 shows how the proposed solutions can be used to effectively index very large collections of handwritten document images, before Chapter 11 eventually summarizes the book and suggests promising lines of future research. The appendices detail the necessary mathematical foundations for the work and presents details of the text image collections and datasets used in the experiments throughout the book. This book is written for researchers and (post-)graduate students in pattern recognition and information retrieval. It will also be of interest to people in areas like history, criminology, or psychology who need technical support to evaluate, understand or decode historical or contemporary handwritten text.
In June, 2012, Steven Fujita went to the emergency room and was diagnosed with meningitis. After four days of improvement, he was scheduled to be discharged when his condition worsened dramatically. His blood pressure, body temperature and sodium levels became dangerously low. He started to lose consciousness. He was rushed to the Intensive care Unit. He had suffered spinal cord damage at the T4 level. Upon regaining full consciousness, Fujita could not speak, eat, breathe independently, control bodily functions, nor move his legs. In this book, he takes the reader on a journey of recovery from spinal cord injury. It is not only a journey of determination and hard work, but of positive attitude and drawing inspiration, of gratitude towards those around him: his family, his friends, co-workers, and medical professionals.
Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.