By Shirley Coleman, Andrea Ahlemeyer-Stubbe
Facts mining is easily on its option to turning into a famous self-discipline within the overlapping parts of IT, statistics, desktop studying, and AI. functional information Mining for enterprise offers a elementary method of facts mining tools, masking the common makes use of to which it really is utilized. The technique is complemented through case stories to create a flexible reference publication, permitting readers to appear for particular tools in addition to for particular functions. The publication is formatted to permit statisticians, machine scientists, and economists to
cross-reference from a selected software or way to sectors of curiosity.
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Additional info for A Practical Guide to Data Mining for Business and Industry
Com. com/irc): xxx Preface • Solutions Manual with solutions to the vast majority of the end-of-chapter exercises and Lab Manual exercises. We’ve added dozens of Making a Difference exercises, most with solutions. com/educator/replocator/. Acknowledgments2 We’d like to thank Abbey Deitel and Barbara Deitel of Deitel & Associates, Inc. for long hours devoted to this project. We’re fortunate to have worked with the dedicated team of publishing professionals at Pearson. We appreciate the guidance, savvy and energy of Michael Hirsch, Editor-in-Chief of Computer Science.
Extensive self-review exercises and answers are included for self study. All of the exercises in the optional ATM case study are fully solved. Exercises. Each chapter concludes with a substantial set of exercises including: • simple recall of important terminology and concepts • What’s wrong with this code? • What does this code do? • writing individual statements and small portions of functions and classes • writing complete functions, classes and programs • major projects. Please do not write to us requesting access to the Pearson Instructor’s Resource Center which contains the book’s instructor supplements, including the exercise solutions.
High-level languages Any computer can directly understand only its own machine language, defined by its hardware design. Machine languages generally consist of strings of numbers (ultimately reduced to 1s and 0s) that instruct computers to perform their most elementary operations one at a time. Machine languages are machine dependent (a particular machine language can be used on only one type of computer). Such languages are cumbersome for humans. For example, here’s a section of an early machine-language program that adds overtime pay to base pay and stores the result in gross pay: +1300042774 +1400593419 +1200274027 Programming in machine language was simply too slow and tedious for most programmers.
A Practical Guide to Data Mining for Business and Industry by Shirley Coleman, Andrea Ahlemeyer-Stubbe