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"The Anatomy of Russian Defense Conversion" touches on many more subjects then just Russian Defense Industry. This is a very thorough, informative and important work that analyses the history of US and Russian Defense Industries, weapons exports and conversion, and possibilities of transformation from a militarized to a civilian economy in the new millenium.
The book also reflects on the current state of defense industries in the US and Russia, and "brain drain", or loss of intellectual capital in Russia and other countries after the Cold War.
I found reflections in Arkady Yarovsky's chapter "From the Culture of War to the Culture of Peace" very contemporary, especially in the light of recent events in the Middle East:
"Our time is unfortunately still characterized as "the culture of war." The culture of war is evident first and foremost in the hostilities between people and states, between nations and faiths, and in the inability to solve conflicts by peaceful means... Humanity has made it into the third millenium because the lust for power has been restrained by fear of nuclear war, but this restraint is not to be counted on permanently... The danger hidden in the separateness of people of different countries, unfortunately, remains a legacy for the next century... If humanity renounces the legacy of the culture of war, it can start down the road of cooperation, peaceful creation, and enlightenment. This is the only road leading to the culture of peace."
This book tells of the enormous cost to the Russian people of building and maintaining their war industry for so many years, a militarized economy where people got second best. Since the breakup of the Soviet Union, defense industry just about shut down, but civilian industry has not grown great enough to support the population. There are horrendous unemployment, and terrible health and social problems. There is some danger that the path of least resistance for Russia, if we neglect the situation, could be to re-start weapons production, for export at first.
In my opinion, the United States also, to a lesser degree, has neglected the manufacture of quality consumer goods, importing them instead, and has let its physical economy deteriorate, despite much activity in the financial sector. We, too, have been insufficiently careful of the environment. This book provides some idea of what these trends could lead to, if carried to extremes.
Perhaps the involvement of United States companies in Russia, could lead to more of a recognition here, of the importance of the physical economy. Hopefully, both countries could also work to put industry on a healthy environmental footing as well.
There is awareness of the problem of Russian defense conversion, at high levels of our government. I hope this book helps educate people and sustain that interest.
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One caveat-if you are not an ESRI user (ArcInfo, ArcView, ArcGIS) this may not be the book for you. Although other software packages are covered in the examples, the focus is heavily on ESRI.
A few of the features of this marvelous text: Illustrated in glorious full color, includes the range of fields and disciplines making use of GISc (Civil Engineering, Geography, Urban Planning, Environmental Science, Business, etc.), presents GIS within its broader scientific context (the "GIScience" in the title), leads the reader through the discipline by first presenting the principles of the field, then the techniques, and finally gives real world examples in its practices section, written at a fundamental level yet doesn't shy away from advanced language and applications when appropriate.
A wonderful addition to GISc literature, I heartily recommend this text for any intermediate GISc course looking to explore the richness of this exciting field.
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Chapters are written on an elementary level for students and pratictioners of modern data analysis techniques. Written mainly as a text but expanded to cover topics of interest to researchers in statistics and computer science by subject matter experts. The last chapter on Systems and Applications by Xiaohui Liu includes coverage of data quality. Among the references on data quality and outlier detection is the book edited by Wright "Statistical Methods and the Improvement of Data Quality". That book was a collection of papers from a conference held in Oak Ridge Tennessee in 1982. That volume was published by Academic Press in 1983. It is not often sighted in the statistical literature but it did contain a number of interesting papers. I contributed a chapter on influence function methods for outlier detection to the Academic Press book.
Hand has written many books on statistics and especially some excellent texts on classification and pattern recognition. His recent work on data mining was published in 1999 by MIT press, a volume he coauthored with Mannila and Smyth. it is one of teh few data mining texts that is highly regarded by the statistical community. Much of that work in referenced in this book particularly in Chapter 1, the overview chapter on intellegent data analysis that Hand wrote himself.
Resampling methods, generalized linear models, Bayesian methods, time series, multivariate analysis, random effects models and entropy are all covered with nice elementary introductions.
This is a great reference source with over 440 articles and books in the list of references.
The first part of this book is focused on classical statistical issues. Arguably, anyone seeking to perform advanced data analysis should have a working knowledge of this area. It is my personal observation that, unfortunately, many workers do not. This book provides a good way of gaining a broad understanding of statistical methods. My only caveat is that the discussion of naïve Bayesian classifiers could have been more extensive. (The chapter on general Bayesian classifiers is other wise well done.) Naïve Bayesian classifiers have been reasonably successful in machine learning and a more in depth treatment would have been useful.
The later chapters focus on machine learning. They provide useful introductions into: induction, neural networks, fuzzy logic, and stochastic search. These chapters are particularly useful to workers contemplating how to best perform advanced analysis of complex, large, and possibly imprecise data sets. Consequently, someone contemplating data mining or other intelligent data analysis applications should seriously consider acquiring this book.
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The stories themselves are very tellable. I have had sixth graders learn and tell these tales. The activities are broken into categories, such as the night sky or nocturnal animals. This is an excellent resource for anyone working with groups such as Scouts or nature centers, wishing to incorporate enjoyable activities and stories into their night-time programming.
As humans have done for eons before us, take this guidebook with you to your next campfire, and share the magic of stories spun by fireside.
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