"I'd rather have one or two of his whiplashing essays in my hands than almost any tome of philosophy". -- Thomas Moore

I Will Survive is the story of Gloria Gaynor, America's "Queen of Disco." It is the story of riches and fame, despair, and finally salvation. Her meteoric rise to stardom in the mid-1970s was nothing short of phenomenal, and hits poured forth that pushed her to the top of the charts, including "Honey Bee," "I Got You Under My Skin," "Never Can Say Goodbye," and the song that has immortalized her, "I Will Survive," which became a #1 international gold seller. With that song, Gloria heralded the international rise of disco that became synonymous with a way of life in the fast lane - the sweaty bodies at Studio 54, the lines of cocaine, the indescribable feeling that you could always be at the top of your game and never come down. But down she came after her early stardom, and problems followed in the wake, including the death of her mother, whose love had anchored the young singer, as well as constant battles with weight, drugs, and alcohol. While her fans always imagined her to be rich, her personal finances collapsed due to poor management; and while many envied her, she felt completely empty inside. In the early 1980s, sustained by her marriage to music publisher Linwood Simon, Gloria took three years off and reflected upon her life. She visited churches and revisited her mother's old Bible. Discovering the world of gospel, she made a commitment to Christ that sustains her to this day.

He was injured and victimized again. Nobody would help him or the other victims. This is how he tried to get justice with uncooperative insurance companies and the unjust judicial system.

The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by 'Data Mining' address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining.