We are all on board a journey headed toward a destination, experiencing our respective shares of happiness and sorrows, peace and discontent, success and failure. But more often than not, it turns out like an old saying, “Life is what happens when we are busy making other plans.” This book holds seven off-kilter short stories based on. As the name suggests, train journeys in India. By the end of every story, the inherent sordidness might appall and enervate the readers, but this is how the cookie crumbles for beaucoup people in India. Perusing this book will stimulate the reader on a wayfare, consummating what might effectuate rumination and introspection, which is in a way the intention of writing this anthology.

When 17-year-old Alex Wayfare discovers she's a Descender - capable of travelling back in time to her reincarnated pasts - she becomes addicted to exploring her past lives, especially when the same blue-eye boy shows up in each one. But the more Alex descends, the more it becomes apparent that someone doesn't want her to travel again, and will stop at nothing to make this life her last.

Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.

Abducted cows? Crop circles? Surely Aisling Smith lives in a town filled with magic, and not science fiction. So why does it seem like the aliens are coming?At a town festival, a popular cow disappears. The following day, it's a man who's vanished. As more and more animals go missing, and crop circles appear around town, Aisling learns that the same thing has happened in Riddler's Edge once before. Have the missing men and animals been abducted by aliens, or is the culprit closer to home?

Left at an orphanage as a child, Thea Reed vowed to find her mother someday. Now grown, her search takes her to Pleasant Valley, Wisconsin, in 1908. When clues lead her to a mental asylum, Thea uses her experience as a post-mortem photographer to gain access and assist groundskeeper Simeon Coyle in photographing the patients and uncovering the secrets within. However, she never expected her personal quest would reawaken the legend of Misty Wayfair, a murdered woman who allegedly haunts the area and whose appearance portends death. A century later, Heidi Lane receives a troubling letter from her mother--who is battling dementia--compelling her to travel to Pleasant Valley for answers to her own questions of identity. When she catches sight of a ghostly woman who haunts the asylum ruins in the woods, the long-standing story of Misty Wayfair returns--and with it, Heidi's fear for her own life. As two women across time seek answers about their identities and heritage, can they overcome the threat of the mysterious curse that has them inextricably intertwined?

This volume provides a snapshot of the current state of the art in data mining, presenting it both in terms of technical developments and industrial applications. The collection of chapters is based on works presented at the Australasian Data Mining conferences and industrial forums. Authors include some of Australia's leading researchers and practitioners in data mining. The volume also contains chapters by regional and international authors.

All the information readers need about the Small Soldiers--character profiles, vehicle sketches and blueprints, a weapons guide, a parts manual, and more--is in this dossier.