Free PDF Predictive Data Mining A Practical Guide (The Morgan Kaufmann Series in Data Management Systems)
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Book Details :
Published on: 1997-12-08
Released on: 1997-12-08
Original language:
The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major data-mining systems need concrete information about the underlying technical principles—and their practical manifestations—in order to either integrate commercially available tools or write data-mining programs from scratch. This book is the first technical guide to provide a complete, generalized roadmap for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.Note: If you already own Predictive Data Mining: A Practical Guide, please see ISBN 1-55860-477-4 to order the accompanying software. To order the book/software package, please see ISBN 1-55860-478-2.+ Focuses on the preparation and organization of data and the development of an overall strategy for data mining.+ Reviews sophisticated prediction methods that search for patterns in big data.+ Describes how to accurately estimate future performance of proposed solutions.+ Illustrates the data-mining process and its potential pitfalls through real-life case studies. Genetic Algorithms and Evolutionary Computation The first and most important point is that genetic algorithms are intrinsically parallel. Most other algorithms are serial and can only explore the solution space to ... Bayesian network - Wikipedia A Bayesian network Bayes network belief network Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of ... A Multigene Assay to Predict Recurrence of Tamoxifen ... Figure 1 Panel of 21 Genes and the Recurrence-Score Algorithm. The recurrence score on a scale from 0 to 100 is derived from the reference-normalized expression ... location/ Text Data Management and Analysis: A Practical ... Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining 18. The WEKA Data Mining Software: an Update More than twelve years have elapsed since the first public release of WEKA. In that time the software has been rewritten entirely from scratch evolved substantially ... Data Mining Techniques - Statistics Textbook - Dell Data Mining. Data Mining is an analytic process designed to explore data (usually large amounts of data - typically business or market related - also known as "big ... International Journal of Engineering Research and ... International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research .. Pattern recognition - Wikipedia Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data although it is in some cases considered to ... Data acquisition and integration techniques Find data mining methods and techniques including methods for data acquisition and data integration. Learn how to gather from different and types of data sources ...
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