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BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING Hardback-Albright and Winston

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Data Mining and Decision Support

Data Mining and Decision Support: Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses.Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.

Applications of Library Analytics and Metrics: Using Data to

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Data Mining and Analysis: Fundamental, Concepts and

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Clinical decision making and judgement in nursing

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Statistics and Data Analysis: From Elementary to

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Introduction to Data Envelopment Analysis and Its Uses

Introduction to Data Envelopment Analysis and Its Uses: Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References has been carefully designed by the authors to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. The authors have been involved in DEA's development from the beginning. William Cooper (with Abraham Charnes and Edwardo Rhodes) is a founder of DEA. Lawrence Seiford and Kaoru Tone have been actively involved as researchers and practitioners from its earliest beginnings. All have been deeply involved in uses of DEA in practical applications as well as in the development of its basic theory and methodologies. The result is a textbook grounded in authority, experience and substance.

Nursing Knowledge and Practice: A Decision-Making Approach by Carol Hall.

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Observing Animal Behaviour: Design and Analysis of Quantitative Data: £20

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Multi- and Megavariate Data Analysis (Part 1). L Eriksson. Umerics Academy

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Business Analysis study and revisions books

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Decision Analysis for Manage

Decision Analysis for Management Judgement 4th Edition for university students ()

Encyclopaedia of Decision Analytics (3 Volumes) in City of

ISBN No.: Publisher: Koros Press Encyclopaedia of Decision Analytics (3 Volumes) Contributors/Editors: Gregory F. Guzauskas MSPH, Muhammad Akram, Guodong Liu, et al. Pub. Date: Price: £ http://www.korospress.com/business-/-Encyclopaedia_of_Decision_Analytics_(3_Volumes).html

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Big Data Analytics R & Hadoop Online Training Course @

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Data Analysis

Data Analysis: This book bridges the gap between statistical theory and physcal experiment. It provides a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them. An accompanying CD-ROM provides detailed code (in Fortran77 and in C) for implementing many of these algorithms (for IBM PS/2 or PC machines). The treatment emphasizes concise but rigorous mathematics but always retains its focus on applications. The reader is presumed to have a sound basic knowledge of differential and integral calulus and some knowledge of vectors and matrices (an appendix develops the vector and matrix methods used and provides a collection of related computer routines). After an introduction of probability, random variables, computer generation of random numbers (Monte Carlo methods) and impotrtant distributions (such as the biomial, Poisson, and normal distributions), the book turns to a discussion of statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The discussion concludes with the discussion of several important stistical methods: least squares, analysis of variance, polynomial regression, and analysis of tiem series. Appendices provide the necessary methods of matrix algebra, combinatorics, and many sets of useful algorithms and formulae. The book is intended for graduate students setting out on experimental research, but it should also provide a useful reference and programming guide for experienced experimenters.

Information Management for Decision Making

ISBN: , SKU: , AUTHOR: M M G Nambudiri, PUBLISHER: Allied Publishers Pvt Ltd, NA

Advances in Decision Analysis in City of London

ISBN No.: Publisher: Koros Press Advances in Decision Analysis Contributors/Editors: Guodong Liu, Xiuli Tang, et al. Pub. Date: Price: £ http://www.korospress.com/business-/-Advances_in_Decision_Analysis.html

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