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The story begins with the family of five living in an urban neighborhood in Riverside, California. Lindsay, the oldest of three children takes riding lessons from a loud, strict trainer. The Wright's struggle financially to support Lindsay's passion for riding-until a bad accident involving her brother forces her to quit. When Lindsay reveals her wish to have a horse of her very own, she soon realizes that it would take a miracle for their family to ever live somewhere where they could have a horse. The Wright's had always hoped and dreamed of having land, but it would take the prayers of...

Windsor Heights has proven to be full of surprises for the Wrights. Lindsay spends most of her time riding her beloved horse, Midnight, while her mom, Lisa, is trying to keep up with her on a young spirited ex-race horse. When Lindsay's dad tries his hand at riding, he quickly realizes that riding can be dangerous. Lisa finds unusual ways to entertain her children, Lindsay, Jeffrey and Beau- sometimes to the dismay of her husband. Lindsay and a new found friend want to ride alone -will it be allowed? Through it all, the family of five along with their faithful guard dog, Sugar, and scent...

The Wright's have just packed up their little house in the city and are moving to a 40-year-old ranch house on 10 acres of land in the middle of the citrus growing community of Riverside. The country life is just what they've always dreamed of, but can they adjust? Can their animals survive the country? Coyotes, hawks, owls and creepy crawly things that go bump in the night have them wondering. Lindsay has been praying for a horse of her own. Lindsay's brother Jeffrey is still in a body cast from a bad accident and Beau the youngest of all is on the lookout for lizards and...snakes Just...

This is the first book available that presents a comprehensive overview of relational data clustering in data mining research. The book reflects the recent emergence of relational data clustering as an important field of data clustering, with applications in text mining, social network analysis, collaborative filtering, and bioinformatics. It presents an in-depth, systematic discussion of the models, algorithms, and applications for relational data clustering. The book also covers recently emerging models in relational data clustering, including graph-based models, matrix...