A water feature transforms a garden into a haven, giving movement and peace, as well as a focus.
Peter May is a landscaper and garden designer who specializes in water gardens. His career has involved designing and building a prize winning water garden at the Chelsea Flower Show and a water-saving garden that gained an award from the British Association of Landscape Industries. Peter writes regular articles for magazines and is the author of several books on water garden construction and maintenance.
* Eleven-year-old Jack Putnam and his eight-year-old brother Benny are being dragged against their will on a summer-long vacation with their family. And not to somewhere cool like Disney World, but to a little port town in Maine named Chowder Bay, far away from anyplace fun. But what promises to be a very bleak summer quickly becomes a series of exciting adventures in one of the most mysterious places on earth! * This second volume finds the boys scaling a nearby mountain to confront a giant kleptomaniac eagle with an obsession with fancy hats!
There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.
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