×
![]( "Buchcover ISBN 9780470101018")
Making Sense of Data
A Practical Guide to Exploratory Data Analysis and Data Mining
von Glenn J. MyattA practical, step-by-step approach to making sense out ofdata
Making Sense of Data educates readers on the steps and issues thatneed to be considered in order to successfully complete a dataanalysis or data mining project. The author provides clearexplanations that guide the reader to make timely and accuratedecisions from data in almost every field of study. A step-by-stepapproach aids professionals in carefully analyzing data andimplementing results, leading to the development of smarterbusiness decisions. With a comprehensive collection of methods fromboth data analysis and data mining disciplines, this booksuccessfully describes the issues that need to be considered, thesteps that need to be taken, and appropriately treats technicaltopics to accomplish effective decision making from data.
Readers are given a solid foundation in the procedures associatedwith complex data analysis or data mining projects and are providedwith concrete discussions of the most universal tasks and technicalsolutions related to the analysis of data, including:
Throughout the book, the author examines why these multipleapproaches are needed and how these methods will solve differentproblems. Processes, along with methods, are carefully andmeticulously outlined for use in any data analysis or data miningproject.
From summarizing and interpreting data, to identifying non-trivialfacts, patterns, and relationships in the data, to makingpredictions from the data, Making Sense of Data addresses the manyissues that need to be considered as well as the steps that need tobe taken to master data analysis and mining.
Making Sense of Data educates readers on the steps and issues thatneed to be considered in order to successfully complete a dataanalysis or data mining project. The author provides clearexplanations that guide the reader to make timely and accuratedecisions from data in almost every field of study. A step-by-stepapproach aids professionals in carefully analyzing data andimplementing results, leading to the development of smarterbusiness decisions. With a comprehensive collection of methods fromboth data analysis and data mining disciplines, this booksuccessfully describes the issues that need to be considered, thesteps that need to be taken, and appropriately treats technicaltopics to accomplish effective decision making from data.
Readers are given a solid foundation in the procedures associatedwith complex data analysis or data mining projects and are providedwith concrete discussions of the most universal tasks and technicalsolutions related to the analysis of data, including:
Throughout the book, the author examines why these multipleapproaches are needed and how these methods will solve differentproblems. Processes, along with methods, are carefully andmeticulously outlined for use in any data analysis or data miningproject.
From summarizing and interpreting data, to identifying non-trivialfacts, patterns, and relationships in the data, to makingpredictions from the data, Making Sense of Data addresses the manyissues that need to be considered as well as the steps that need tobe taken to master data analysis and mining.