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A Perfect Holiday Fling

RRP $18.99

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It's no mystery why veterinarian Callie Webber is having a hard time getting into the holiday spirit. When the residents of her small hometown aren't pitying her because of her ex-husband's very public departure, they're attempting to hook her up with a man...any man. Fed up with being everyone's favorite charity case, Callie considers closing her animal clinic and moving to the big city. But, before she goes, she decides to give herself a Christmas treat to remember: a romantic holiday fling. And who better to have a fling with than the gorgeous newcomer who is turning heads around Maplesville? When injured Navy pilot Stefan Sutherland reluctantly rescues a gutter cat for the sake of his five-year-old nephew, he never imagined it would lead to him discovering Maplesville's most fascinating attraction...its smoking hot vet. Getting involved with a woman was the last thing Stefan anticipated when he agreed to care for his nephew during his Army nurse sister's deployment, but if he's going to spend the holidays in this sleepy Southern town, why not make the most of it with the perfect holiday fling.


Credit Scoring, Response Modeling And Insurance Rating 2012

RRP $329.99

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Within all large consumer facing organizations, most decisions about how to deal with people are made automatically by computerized decision making systems. Information about people, their lifestyle and past behavior are used to predict how they are expected to behave in the future. It can be determined if someone applying for a bank loan will make their repayments, who will respond to a marketing communication and the likelihood that someone will claim on their insurance policy. This book provides a step-by-step guide to how Predictive Analytics is used by some of the world's most influential organizations. This includes international banks, leading insurance providers, credit reference agencies and national governments. It covers all stages of the Predictive Analytics process. This includes project management, data collection, sampling, data transformation and pre-processing, model construction, validation, implementation and post-implementation monitoring of the model's performance.



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