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上传时间: 2008-11-18
详细说明： Data mining is becoming a mainstream technology used in business intelligence applications supporting industries such as financial services, retail, healthcare, telecommunications, and higher education, and lines of business such as marketing, manufacturing, customer experiences, customer service, and sales. Many of the business problems that data mining can solve cut across industries such as customer retention and acquisition, cross-sell, and response modeling. Due to the cost, skillsets, and complexity required to bring data mining results into an established business process, early adopters were typically big companies and research labs with correspondingly large budgets and access to statisticians and machine learning experts. In recent years, however, data mining products have simplified data mining considerably by automating the process—making the fruits of the technology more widely accessible. New algorithms and heuristics have evolved to provide good results with little or no experimentation or data preparation. In addition, the availability of data mining has increased with in-database data mining capabilities. Java Data Mining (JDM) furthers the adoption of data mining by providing a standard Java and web services Application Programming Interface (API) for data mining. This book introduces data mining to software developers and application architects who may have heard of the benefits of data mining but are unsure how to realize these benefits. This book is also targeted at business and data analysts who want to learn how JDM helps in developing vendor-neutral data mining solutions. It does not require a reader to be familiar with data mining, statistics, or machine learning technologies. ...展开收缩
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