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At the official website for the Vietnam Veterans Memorial Wall, the following description is given regarding the symbols that either precede or follow each of the 58,272 names that are indelibly etched into The Wall:"WHAT ARE THE SYMBOLS BY THE NAMES? The diamonds and pluses (crosses) indicate whether a person is confirmed dead (those who died in accidents are included) or missing/whereabouts unknown. The diamond indicates a person's death was confirmed. The pluses (crosses) indicate that a person remains missing and unaccounted for and in no way are meant to be a religious symbol. A plus (cross) symbol can be easily turned into a diamond if a person is declared dead (such as the return of their remains). A circle (as a symbol of life) will be inscribed around the plus if the person comes back alive. As of this time, no circle appears on the wall. On the West wall the symbols precede the names, while on the East wall they follow the names."This is the story of how three American Green Berets (of which I was one), along with our ARVN (Army of the Republic of Vietnam) counterparts, and one hundred sixty Montagnard Strikers, succeeded in accomplishing what a Battalion of the 4th Division could not do - and in the process, insured that A Diamond on The Wall preceded the name of one fallen American Warrior; and how that recovery mission still impacts my life today.This, therefore, is the story of my tour of duty in Vietnam. With all that said, the memoir you are about to read, and the events detailed herein, hold the remarkable and verifiable series of events that unfolded in an occasionally hilarious, wholly unusual, frequently noteworthy and entirely memorable (as well as historic) way.Larry T. Vosen
This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects.
Based upon the authors' previous successful book on data mining and knowledge discovery, this new volume has been extensively expanded, making it an effective instructional tool for advanced-level undergraduate and graduate courses. This book offers:
Researchers, practitioners and students are certain to consider this volume an indispensable resource in successfully accomplishing the goals of their data mining projects.
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